Problem Set 1 Linear Regression AnalysisResearch Scenario A community

Question

Problem Set 1: Linear Regression Analysis

Research Scenario: A community

psychologist is interested in whether people’s self-reported degree of religious belief predicts their self-reported feelings of well-being. She administers two questionnaires to 17 individuals, one of which measures degree of religious beliefs (scores range from 1-20 with higher scores indicating higher degree of belief), and another which measures feelings of well-being (scores range from 1-25 with higher scores indicating stronger feelings of well-being). The psychologist compiles the information listed in the table below.

Using this table, enter the data into a new SPSS data file and run a linear regression analysis to test whether religious belief predicts feelings of well-being. scatterplot with a regression line to show the relationship between the variables.

  1. Paste SPSS output.
  2. Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value.

Problem Set 2: Linear Regression Analysis

Research Scenario: A social psychologist is interested in whether the number of days spent in a refugee camp predicts trauma levels in recently resettled refugees. He interviews 17 refugees to determine how many days they spent in a refugee camp before being resettled, then administers the Harvard Trauma Questionnaire Part IV (HTQ Part 4), where a higher score indicates higher levels of trauma (Mollica et al., 1992). He compiles the information in the table below.

Using this table, enter the data into a new SPSS data file and run a linear regression analysis to test whether days in a refugee camp predict HTQ-4 scores. scatterplot with a regression line to show the relationship between the variables.

  1. Paste SPSS output.
  2. Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value.

Statistics and Probability

Problem Set 1 Linear Regression AnalysisResearch Scenario A community

Question

Problem Set 1: Linear Regression Analysis

Research Scenario: A community

psychologist is interested in whether people’s self-reported degree of religious belief predicts their self-reported feelings of well-being. She administers two questionnaires to 17 individuals, one of which measures degree of religious beliefs (scores range from 1-20 with higher scores indicating higher degree of belief), and another which measures feelings of well-being (scores range from 1-25 with higher scores indicating stronger feelings of well-being). The psychologist compiles the information listed in the table below.

Using this table, enter the data into a new SPSS data file and run a linear regression analysis to test whether religious belief predicts feelings of well-being. scatterplot with a regression line to show the relationship between the variables.

  1. Paste SPSS output.
  2. Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value.

Problem Set 2: Linear Regression Analysis

Research Scenario: A social psychologist is interested in whether the number of days spent in a refugee camp predicts trauma levels in recently resettled refugees. He interviews 17 refugees to determine how many days they spent in a refugee camp before being resettled, then administers the Harvard Trauma Questionnaire Part IV (HTQ Part 4), where a higher score indicates higher levels of trauma (Mollica et al., 1992). He compiles the information in the table below.

Using this table, enter the data into a new SPSS data file and run a linear regression analysis to test whether days in a refugee camp predict HTQ-4 scores. scatterplot with a regression line to show the relationship between the variables.

  1. Paste SPSS output.
  2. Results section based on your analysis including independent and dependent variables, confidence interval, effect size, 1 or 2 tailed and the p value.

Statistics and Probability

1 Olive Construction Company is determining whether it should submit a bit for a new shopping centre In the past

Question

1.Olive Construction Company is determining whether it should submit a bit for a new shopping centre. In the past,

Olive’s main competitor, Base Construction Company, has submitted bids 70% of the time. If Base Construction Company does not bid on a job, the probability that Olive Construction Company will get the job is 0.50. If the Base Construction Company bids on a job, the probability that Olive Construction Company will get the job is 0.25.

a. If Olive Construction Company gets the job, what is the probability that Base Construction Company did not bid?

b. What is the probability that Olive Construction Company will get the job?

Statistics and Probability

Hi I am proposing a research study that looks at the effects of mindfulness on stress

Question

Hi,

I am proposing a research study that looks at the effects of mindfulness on stress

reduction.

There are 64 participants. 32 control group and 32 experimental group. The 32 experimental will receive the treatment: 8 week Mindfulness based stress reduction course (MBSR)

All participants will fill out a Perceived stress scale survey before and after data collection .

The results will show a significant decrease in perceived stress among the experimental group.

So, my question is: What sort of statistical procedure and analysis will I use to explain the results? Is it a t-test? I am confused, help!

Statistics and Probability

Hi I am proposing a research study that looks at the effects of mindfulness on stress

Question

Hi,

I am proposing a research study that looks at the effects of mindfulness on stress

reduction.

There are 64 participants. 32 control group and 32 experimental group. The 32 experimental will receive the treatment: 8 week Mindfulness based stress reduction course (MBSR)

All participants will fill out a Perceived stress scale survey before and after data collection .

The results will show a significant decrease in perceived stress among the experimental group.

So, my question is: What sort of statistical procedure and analysis will I use to explain the results? Is it a t-test? I am confused, help!

Statistics and Probability

1 Olive Construction Company is determining whether it should submit a bit for a new shopping centre In the past

Question

1.Olive Construction Company is determining whether it should submit a bit for a new shopping centre. In the past,

Olive’s main competitor, Base Construction Company, has submitted bids 70% of the time. If Base Construction Company does not bid on a job, the probability that Olive Construction Company will get the job is 0.50. If the Base Construction Company bids on a job, the probability that Olive Construction Company will get the job is 0.25.

a. If Olive Construction Company gets the job, what is the probability that Base Construction Company did not bid?

b. What is the probability that Olive Construction Company will get the job?

Statistics and Probability

Suppose in a study on the effect of exercise on your heart participants walk on a treadmill for a specified

Question

Suppose, in a study on the effect of exercise on your heart, participants walk on a treadmill for a specified

amount of time and their heart rate is measured. This study hopes to estimate the heart rate of all male athletes after walking on a treadmill for 20 minutes. A random sample of male athletes resulted in a 95% confidence interval for the mean heart rate of all male athletes after walking on a treadmill for 20 minutes of (99.02, 106.98).

What is the value of the point estimate?

Statistics and Probability

Suppose in a study on the effect of exercise on your heart participants walk on a treadmill for a specified

Question

Suppose, in a study on the effect of exercise on your heart, participants walk on a treadmill for a specified

amount of time and their heart rate is measured. This study hopes to estimate the heart rate of all male athletes after walking on a treadmill for 20 minutes. A random sample of male athletes resulted in a 95% confidence interval for the mean heart rate of all male athletes after walking on a treadmill for 20 minutes of (99.02, 106.98).

What is the value of the point estimate?

Statistics and Probability

I need help sloving this applied statistics practice problemScreen

8.2.31-T a Question Help § In a recent court case it was found that during a period of 11 years 891 people were selected for grand jury duty and 42% of them were from the same ethnicity. Among the people eligible for
grand jury duty, 79.3% were of this ethnicity. Use a 0.01 significance level to test the claim that the selection process is biased against allowing this ethnicity to sit on the grand jury. Identify the null
hypothesis. alternative hypothesis. test statistic. P-value. conclusion about the null hypothesis. and final conclusion that addresses the original claim. Use the P-value method and the normal
distribution as an approximation to the binomial distribution. Which of the following is the hypothesis test to be conducted? 0 A. H0: p=o.793 O B. H0: plt;n.793
H1: plt;0.793 H1: p=0.793
O c. H0: p:0.793 O D. Ha: pgt;n.793
H1: p=0.793 H1: p=0.793
O E. H0: p=O.793 O F. HO: p=n.793
H1: pgt;0.793 H1: p :0.793 Click to select your answer and then click Check Answer. arts
4 rpemaining – Clear All
Statistics and Probability

3)Banking fees have received much attention during the recent economic recession as banks looked for ways to

Question

3)Banking fees have received much attention during the recent economic recession as banks looked for ways to

recover from the crisis. A sample of 30 customers paid an average fee of $12.55 per month on their level interest-bearing checking accounts. Assume the population standard deviation is $1.75.

3a) construct a 95% confidence interval to estimate the average fee for the population.

3b) what is the margin of error for this interval?

Statistics and Probability

I need help sloving this applied statistics practice problemScreen

8.2.31-T a Question Help § In a recent court case it was found that during a period of 11 years 891 people were selected for grand jury duty and 42% of them were from the same ethnicity. Among the people eligible for
grand jury duty, 79.3% were of this ethnicity. Use a 0.01 significance level to test the claim that the selection process is biased against allowing this ethnicity to sit on the grand jury. Identify the null
hypothesis. alternative hypothesis. test statistic. P-value. conclusion about the null hypothesis. and final conclusion that addresses the original claim. Use the P-value method and the normal
distribution as an approximation to the binomial distribution. Which of the following is the hypothesis test to be conducted? 0 A. H0: p=o.793 O B. H0: plt;n.793
H1: plt;0.793 H1: p=0.793
O c. H0: p:0.793 O D. Ha: pgt;n.793
H1: p=0.793 H1: p=0.793
O E. H0: p=O.793 O F. HO: p=n.793
H1: pgt;0.793 H1: p :0.793 Click to select your answer and then click Check Answer. arts
4 rpemaining – Clear All
Statistics and Probability

3)Banking fees have received much attention during the recent economic recession as banks looked for ways to

Question

3)Banking fees have received much attention during the recent economic recession as banks looked for ways to

recover from the crisis. A sample of 30 customers paid an average fee of $12.55 per month on their level interest-bearing checking accounts. Assume the population standard deviation is $1.75.

3a) construct a 95% confidence interval to estimate the average fee for the population.

3b) what is the margin of error for this interval?

Statistics and Probability

The product manager at a subsidiary of Kraft Foods Inc is interested in learning how sensitive sales are

Question

The product manager at a subsidiary of Kraft Foods, Inc. is interested in learning how sensitive sales are

to changes in the unit price of a frozen pizza in Dallas, Denver, Baltimore, and Chicago. The product manager has been provided data on both Price and Sales volume every fourth week over a period of nearly four years for the four cities (Frozen Pizza).

With a regression line as follows: y = 126624.8913 – 34955.59942 (Baltimore Price) how do I determine if the relationship is positive, negative or no relationship exist?
Statistics and Probability

The product manager at a subsidiary of Kraft Foods Inc is interested in learning how sensitive sales are

Question

The product manager at a subsidiary of Kraft Foods, Inc. is interested in learning how sensitive sales are

to changes in the unit price of a frozen pizza in Dallas, Denver, Baltimore, and Chicago. The product manager has been provided data on both Price and Sales volume every fourth week over a period of nearly four years for the four cities (Frozen Pizza).

With a regression line as follows: y = 126624.8913 – 34955.59942 (Baltimore Price) how do I determine if the relationship is positive, negative or no relationship exist?
Statistics and Probability

Hypothesis Students that participate in an eightweek mindfulness course experience less perceived stress than

Question

Hypothesis: Students that participate in an eight-week mindfulness course experience less perceived stress than

students who do not participate.

I .Participants: College students at a University (N= 64)

A . Students between the ages of 19-22.

B . Convenience sampling will be used as participants have willingly enrolled in an 8-week mindfulness course.

C . Ideally the participants will be from various ethnicities and socioeconomic backgrounds.

II . Design: Experimental The independent variable is the treatment: the Mindfulness based stress reduction course (MBSR).

A . The dependent variable is perceived stress level of the students.

B . A control group of 32 students will not receive the MBSR treatment, as they will be on the waiting list.

C . 32 students will be the experimental group who will receive the MBSR treatment during the experiment.

III . Materials

A . The Perceived stress scale (PSS), and the Perceived Stress Reactivity Scale (PSRS)

B . A licensed clinician: A Psychologist (PsyD) to instruct and train on mindfulness skills. Specifically, the clinician is a certified instructor of the MBSR program designed by Jon Kabbat-Zinn.

IV . Procedure:

A . All 64 participants will complete the PSS prior to the experiment beginning.

B . The experimental group will commence 2 weekly sessions of MBSR for approximately 60 minutes each, for the next 8-weeks. The sessions will be conducted in a serene studio environment designed to promote mindfulness and concentration. The studio will be setup in a laboratory to ensure the accuracy of data collection and the internal validity. Obviously, there are limitations to the internal validity of this type of data collection which will be discussed in greater detail in the study.

Question: What sort of research design would I use for this? ie: 2×2 independent group design. Please help!

Statistics and Probability

Hypothesis Students that participate in an eightweek mindfulness course experience less perceived stress than

Question

Hypothesis: Students that participate in an eight-week mindfulness course experience less perceived stress than

students who do not participate.

I .Participants: College students at a University (N= 64)

A . Students between the ages of 19-22.

B . Convenience sampling will be used as participants have willingly enrolled in an 8-week mindfulness course.

C . Ideally the participants will be from various ethnicities and socioeconomic backgrounds.

II . Design: Experimental The independent variable is the treatment: the Mindfulness based stress reduction course (MBSR).

A . The dependent variable is perceived stress level of the students.

B . A control group of 32 students will not receive the MBSR treatment, as they will be on the waiting list.

C . 32 students will be the experimental group who will receive the MBSR treatment during the experiment.

III . Materials

A . The Perceived stress scale (PSS), and the Perceived Stress Reactivity Scale (PSRS)

B . A licensed clinician: A Psychologist (PsyD) to instruct and train on mindfulness skills. Specifically, the clinician is a certified instructor of the MBSR program designed by Jon Kabbat-Zinn.

IV . Procedure:

A . All 64 participants will complete the PSS prior to the experiment beginning.

B . The experimental group will commence 2 weekly sessions of MBSR for approximately 60 minutes each, for the next 8-weeks. The sessions will be conducted in a serene studio environment designed to promote mindfulness and concentration. The studio will be setup in a laboratory to ensure the accuracy of data collection and the internal validity. Obviously, there are limitations to the internal validity of this type of data collection which will be discussed in greater detail in the study.

Question: What sort of research design would I use for this? ie: 2×2 independent group design. Please help!

Statistics and Probability

Century Business Products tested 180 white board markers that they had in stock and found that 13 failed to

Question

Century Business Products tested 180 white board markers that they had in stock and found that 13 failed to

perform adequately and had to be replaced immediately. The same test was applied to a sample of 67 white board markers from a new supplier and found that 7 of those failed.

a. State the decision rule for 0.05 significance level: H0: p1 – p2 ≥ 0; H1: p1 – p2 0. (Negative answer should be indicated by a minus sign. Round the final answer to 3 decimal places.)

Reject H0 if z .

b. Compute the pooled proportion. (Round the final answer to 3 decimal places.)

pc

c. Compute the value of the test statistic. (Negative answer should be indicated by a minus sign. Round the final answer to 3 decimal places.)

Value of the test statistic

d. Use the 0.05 significance level to test if it is reasonable to conclude that the white board markers from the new supplier are not performing as well as those in stock.

(Click to select)

Do not reject

Reject

H0. There is

(Click to select)

not enough

enough

evidence to conclude that the white board markers from the new supplier are not performing as well as those in stock.

Ne

Statistics and Probability

Century Business Products tested 180 white board markers that they had in stock and found that 13 failed to

Question

Century Business Products tested 180 white board markers that they had in stock and found that 13 failed to

perform adequately and had to be replaced immediately. The same test was applied to a sample of 67 white board markers from a new supplier and found that 7 of those failed.

a. State the decision rule for 0.05 significance level: H0: p1 – p2 ≥ 0; H1: p1 – p2 0. (Negative answer should be indicated by a minus sign. Round the final answer to 3 decimal places.)

Reject H0 if z .

b. Compute the pooled proportion. (Round the final answer to 3 decimal places.)

pc

c. Compute the value of the test statistic. (Negative answer should be indicated by a minus sign. Round the final answer to 3 decimal places.)

Value of the test statistic

d. Use the 0.05 significance level to test if it is reasonable to conclude that the white board markers from the new supplier are not performing as well as those in stock.

(Click to select)

Do not reject

Reject

H0. There is

(Click to select)

not enough

enough

evidence to conclude that the white board markers from the new supplier are not performing as well as those in stock.

Ne

Statistics and Probability

Different types of advertising methods

are being considered for a company’s new product:
a magazine ad (M), a

Question

Different types of advertising methods are being considered for a company’s new product: a magazine ad (M), a

television ad (T), a newspaper coupon (N), a radio ad (R), a coupon mailer (C), and a social media ad (S). The coupons are both good for ten dollars off the item. The dots in the Venn diagram below show the various methods. An advertising specialist considers a method at random to review.

  • Let A
  • be the event of selecting a method that gives a discount.
  • Let B
  • be the event of selecting a printed method.

Move the dots on the Venn diagram to place the dots in the correct event, A

, B

,or A AND B

. Note that you might not use all of the dots.

Provide your answer below:

Statistics and Probability

Different types of advertising methods

are being considered for a company’s new product:
a magazine ad (M), a

Question

Different types of advertising methods are being considered for a company’s new product: a magazine ad (M), a

television ad (T), a newspaper coupon (N), a radio ad (R), a coupon mailer (C), and a social media ad (S). The coupons are both good for ten dollars off the item. The dots in the Venn diagram below show the various methods. An advertising specialist considers a method at random to review.

  • Let A
  • be the event of selecting a method that gives a discount.
  • Let B
  • be the event of selecting a printed method.

Move the dots on the Venn diagram to place the dots in the correct event, A

, B

,or A AND B

. Note that you might not use all of the dots.

Provide your answer below:

Statistics and Probability

I am taking a practice test and need help completing the

Question

I am taking a practice test and need help completing the

problem

30 Media Solutions
://www-awn.aleks.com/alekscgi/x/Isl.exe/10_u-IgNsikasNW8D8A9PVVfa8mJE3KuG5ops4aCZhcLFB2HRRwx2XylK2tswsANxu6v2X8hQvibwHQpMXnovjhfi
Test 3 Ch 8 – 11
Question 5 of 15 (7 points)
Time Remaining: 2:06:04
A college professor claims that the entering class this year appears to be smarter than entering classes from previous years. He tests a random sample of 16 of
this year’s entering students and finds that their mean IQ score is 119, with standard deviation of 15. The college records indicate that the mean IQ score for
entering students from previous years is 110. If we assume that the IQ scores of this year’s entering class are normally distributed, is there enough evidence to
conclude, at the 0.05 level of significance, that the mean IQ score, J, of this year’s class is greater than that of previous years?
Perform a one-tailed test. Then fill in the table below.
Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.)
The null hypothesis:
H : M = 110
p
S
The alternative hypothesis:
H : M gt; 110
D=0 0-0 0-0
The type of test statistic:
t
Degrees of
freedom:
15
1=0 0-0 0-0
The value of the test statistic:
(Round to at least three
x a ?
decimal places.)
The critical value at the 0.05
level of significance:
(Round to at least three
decimal places.)
Can we conclude, using the 0.05 level of
significance, that the mean IQ score of this year’s
class is greater than that of previous years?
Yes
No
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Statistics and Probability

I am taking a practice test and need help completing the

Question

I am taking a practice test and need help completing the

problem

30 Media Solutions
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Test 3 Ch 8 – 11
Question 5 of 15 (7 points)
Time Remaining: 2:06:04
A college professor claims that the entering class this year appears to be smarter than entering classes from previous years. He tests a random sample of 16 of
this year’s entering students and finds that their mean IQ score is 119, with standard deviation of 15. The college records indicate that the mean IQ score for
entering students from previous years is 110. If we assume that the IQ scores of this year’s entering class are normally distributed, is there enough evidence to
conclude, at the 0.05 level of significance, that the mean IQ score, J, of this year’s class is greater than that of previous years?
Perform a one-tailed test. Then fill in the table below.
Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.)
The null hypothesis:
H : M = 110
p
S
The alternative hypothesis:
H : M gt; 110
D=0 0-0 0-0
The type of test statistic:
t
Degrees of
freedom:
15
1=0 0-0 0-0
The value of the test statistic:
(Round to at least three
x a ?
decimal places.)
The critical value at the 0.05
level of significance:
(Round to at least three
decimal places.)
Can we conclude, using the 0.05 level of
significance, that the mean IQ score of this year’s
class is greater than that of previous years?
Yes
No
Submit Assignment
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Statistics and Probability

1 …

Which of the following represents a population and a sample from that

Question

1. Which of the following represents a population and a sample from that

population?

a. Attendees at a sporting event, and those who purchased popcorn at said sporting event

b. Full-time employees at a marketing firm, and temporary summer interns at the marketing firm

c. Seniors at Boston College and students in a first-semester business statistics course

d. Stocks available on the NYSE and stocks on the NASDAQ

Math

I need help with this problem set

Please show calculations where applicable.
Can you help?
Question 1
C
Question 2
0 Question 3
1 Question 4
0.9406 P ( Z ≤ 1.56 ) =0.9406[¿ standard normal table ] Question 5
0.648 P ( Z gt;−0.38 )=0.648 [¿ standard normal table] Question 6
0.7047…
Statistics and Probability

I need help with this problem set

Please show calculations where applicable.
Can you help?
Question 1
C
Question 2
0 Question 3
1 Question 4
0.9406 P ( Z ≤ 1.56 ) =0.9406[¿ standard normal table ] Question 5
0.648 P ( Z gt;−0.38 )=0.648 [¿ standard normal table] Question 6
0.7047…
Statistics and Probability

1 …

Which of the following represents a population and a sample from that

Question

1. Which of the following represents a population and a sample from that

population?

a. Attendees at a sporting event, and those who purchased popcorn at said sporting event

b. Full-time employees at a marketing firm, and temporary summer interns at the marketing firm

c. Seniors at Boston College and students in a first-semester business statistics course

d. Stocks available on the NYSE and stocks on the NASDAQ

Math

You are investigating whether people who believe in biological evolution are more likely to want to require

Question

You are investigating whether people who believe in biological evolution are more likely to want to require

universal background checks for firearms purchases. You have a survey of 1,000 randomly selected students at the University of Michigan which had questions on these topics. What type of inferential problems is this?

A) A categorical explanatory variable and a categorical response. B) A categorical explanatory variable and a numerical response C) A numerical explanatory variable and a categorical response D) A numerical explanatory variable and a numerical response
Statistics and Probability

You are investigating whether people who believe in biological evolution are more likely to want to require

Question

You are investigating whether people who believe in biological evolution are more likely to want to require

universal background checks for firearms purchases. You have a survey of 1,000 randomly selected students at the University of Michigan which had questions on these topics. What type of inferential problems is this?

A) A categorical explanatory variable and a categorical response. B) A categorical explanatory variable and a numerical response C) A numerical explanatory variable and a categorical response D) A numerical explanatory variable and a numerical response
Statistics and Probability

please helps question is due

I’MIs Table represents the fictional scores of a set Of participants Who rated their Optimism levels on a Scale from I Tor, With I Indicating
very unoptimistic and I indicating very optimistic .
Table : Optimism
Rating
7
5
5
7
2
7
5
Reference : Table 1
Table : Optimism ) The standard deviation in this data set is :
Select one*
OA. 7. 11 .
OB. 7.00 .
@ 6. 4. 62.
90. 1. 99.
Statistics and Probability

please helps question is due

I’MIs Table represents the fictional scores of a set Of participants Who rated their Optimism levels on a Scale from I Tor, With I Indicating
very unoptimistic and I indicating very optimistic .
Table : Optimism
Rating
7
5
5
7
2
7
5
Reference : Table 1
Table : Optimism ) The standard deviation in this data set is :
Select one*
OA. 7. 11 .
OB. 7.00 .
@ 6. 4. 62.
90. 1. 99.
Statistics and Probability

Good Morning I am really not clear on how

this all works, can you please guide me.

Date
Open
High
Low
Close
Volume
26-Aug-16
769
776.08
765.85
769.54 1166681
25-Aug-16
767
771.89
763.18
769.41 926883
24-Aug-16
770.58
774.5
767.07
769.64 1071999
23-Aug-16
775.48
776.44
771.78…
Statistics and Probability

Good Morning I am really not clear on how

this all works, can you please guide me.

Date
Open
High
Low
Close
Volume
26-Aug-16
769
776.08
765.85
769.54 1166681
25-Aug-16
767
771.89
763.18
769.41 926883
24-Aug-16
770.58
774.5
767.07
769.64 1071999
23-Aug-16
775.48
776.44
771.78…
Statistics and Probability

A car dealer states that a new brand of car get 35 miles per gallon on average Suppose a consumer group claims

Question

A car dealer states that a new brand of car get 35 miles per gallon on average. Suppose a consumer group claims

that these cars get less than 35 miles per gallon. A sample of 40 cars is selected, and the same mean for the 40 cars is 33 miles per gallon while the sample standard deviation is 3.8.

Have the assumptions for this test been met? Why or why not?

State the null and alternative hypotheses for this test.

Calculate the test statistic for this test. Explain what this test statistic represents.

Use technology to calculate the p-value for this test. Explain what this p-value represents.

State the conclusion for this test at the 0.05 level of significance. Do you think the car dealer is telling the truth? Why or why not?

Statistics and Probability

An investor wants to estimate the population mean earnings of stocks in the financial services sector Assuming

Question

An investor wants to estimate the population mean earnings of stocks in the financial services sector. Assuming

the population standard deviation of earnings is σ=$1,250 {version:1.1,math:sigma = $1,250}, a confidence interval for which of the following would be best for this task?

Question 4 options:

μ {version:1.1,math:mu}, when σ {version:1.1,math:sigma} is known

μ {version:1.1,math:mu}, when σ {version:1.1,math:sigma} is unknown

The true mean of the differences, for paired data

The difference between two means, using independent samples

One proportion

The difference between two proportions

Linear regression

Statistics and Probability

An investor wants to estimate the population mean earnings of stocks in the financial services sector Assuming

Question

An investor wants to estimate the population mean earnings of stocks in the financial services sector. Assuming

the population standard deviation of earnings is σ=$1,250 {version:1.1,math:sigma = $1,250}, a confidence interval for which of the following would be best for this task?

Question 4 options:

μ {version:1.1,math:mu}, when σ {version:1.1,math:sigma} is known

μ {version:1.1,math:mu}, when σ {version:1.1,math:sigma} is unknown

The true mean of the differences, for paired data

The difference between two means, using independent samples

One proportion

The difference between two proportions

Linear regression

Statistics and Probability

A car dealer states that a new brand of car get 35 miles per gallon on average Suppose a consumer group claims

Question

A car dealer states that a new brand of car get 35 miles per gallon on average. Suppose a consumer group claims

that these cars get less than 35 miles per gallon. A sample of 40 cars is selected, and the same mean for the 40 cars is 33 miles per gallon while the sample standard deviation is 3.8.

Have the assumptions for this test been met? Why or why not?

State the null and alternative hypotheses for this test.

Calculate the test statistic for this test. Explain what this test statistic represents.

Use technology to calculate the p-value for this test. Explain what this p-value represents.

State the conclusion for this test at the 0.05 level of significance. Do you think the car dealer is telling the truth? Why or why not?

Statistics and Probability

Please help me find the correct test statistic and pvalue? I am not sure what I am doing wrong Please help!

Question

Please help me find the correct test statistic and p-value? I am not sure what I am doing wrong. Please help!

Thank you!

Score: 0.?5 of 5 pie 4 4 cf 9 [6 complete] v } HW Score: 17.38%, 7.13 of 41 pts @112 a In an experiment, 15 babies were asked to watch a cl‘rnber attempt to ascend a hill. On Me occasionsI the baby witnesses the clin’ber fail to matte the climb. Then, the
baby witnesses either a helper toypush the climber up the hill, or a I’I‘nderer toy preventing the climber from maldng the ascent The toys were shown to each hwy in a
random lasl’l‘on. A second part of tt’I‘s experiment showed the climber approach the helper by, chh is not a surprising action, and then the climber approached the
tinderer toy, which is a surprising action. The amount of time the hwy watched the event was recorded. The mean difference in time spent watching the climber
approach the hinderer toy versus watching the climber approach the helper toy was 1.09 seconds with a standard deviation of 1.53 seconds lClemplete parts a through
c. {:3- A. Ho: N=u {:2- B. Ho: l-ld‘o -::_.:- c. Ho;d =0
H1:pd-:n H1:pd=0 H1:pd=0
{:3- D. Ha: pip-D a! E. HD: Pd :0 C:- F. cilia =0
H1:|_Ld=0 H1:pdgt;D H1:pd=0 (h) Assuming the differences are normally distributed with no outliers, test if the difference in the amount of time the baby will watch the hinderer toy versus the helper
by is greater than I) at the 0.01 level of sigrl‘ticance. find the test statistic for this hypothesis test. (Bound to two decimal places as needed.)
Statistics and Probability

Please help me find the correct test statistic and pvalue? I am not sure what I am doing wrong Please help!

Question

Please help me find the correct test statistic and p-value? I am not sure what I am doing wrong. Please help!

Thank you!

Score: 0.?5 of 5 pie 4 4 cf 9 [6 complete] v } HW Score: 17.38%, 7.13 of 41 pts @112 a In an experiment, 15 babies were asked to watch a cl‘rnber attempt to ascend a hill. On Me occasionsI the baby witnesses the clin’ber fail to matte the climb. Then, the
baby witnesses either a helper toypush the climber up the hill, or a I’I‘nderer toy preventing the climber from maldng the ascent The toys were shown to each hwy in a
random lasl’l‘on. A second part of tt’I‘s experiment showed the climber approach the helper by, chh is not a surprising action, and then the climber approached the
tinderer toy, which is a surprising action. The amount of time the hwy watched the event was recorded. The mean difference in time spent watching the climber
approach the hinderer toy versus watching the climber approach the helper toy was 1.09 seconds with a standard deviation of 1.53 seconds lClemplete parts a through
c. {:3- A. Ho: N=u {:2- B. Ho: l-ld‘o -::_.:- c. Ho;d =0
H1:pd-:n H1:pd=0 H1:pd=0
{:3- D. Ha: pip-D a! E. HD: Pd :0 C:- F. cilia =0
H1:|_Ld=0 H1:pdgt;D H1:pd=0 (h) Assuming the differences are normally distributed with no outliers, test if the difference in the amount of time the baby will watch the hinderer toy versus the helper
by is greater than I) at the 0.01 level of sigrl‘ticance. find the test statistic for this hypothesis test. (Bound to two decimal places as needed.)
Statistics and Probability

I would like to pay someone to complete the following tabs in this assignment Measure (Expected

Question

I would like to pay someone to complete the following tabs in this assignment:

Measure (Expected

Variation)

Measure (Baseline Sigma)

Improve DOE

Control Pp PPK Chart

Welcome!
Please read this page (in particular) very carefully. Instructions
You need to understand how to send your assignments (deliverables)
to your instructor. The tabs (bottom of each sheet) in…
Statistics and Probability

I would like to pay someone to complete the following tabs in this assignment Measure (Expected

Question

I would like to pay someone to complete the following tabs in this assignment:

Measure (Expected

Variation)

Measure (Baseline Sigma)

Improve DOE

Control Pp PPK Chart

Welcome!
Please read this page (in particular) very carefully. Instructions
You need to understand how to send your assignments (deliverables)
to your instructor. The tabs (bottom of each sheet) in…
Statistics and Probability

A researcher would like to determine if relaxation training affects the number of headaches for chronic headache

Question

A researcher would like to determine if relaxation training affects the number of headaches for chronic headache

sufferers. For a week prior to training, each participant records the number of headaches suffered. Participants then receive relaxation training and for the week following training the number of headaches is again measured. The data are as follows:

Before, After: 6,4 5,1 3,3 3,1 6,2 2,1 4,3 4,2

a. Do the results indicate a significant difference? Use a two-tailed test with α = .05. State the null hypothesis and the tcritical you will use to evaluate the null hypothesis.

b. Compute Cohen’s d and r2 to measure the size of the effect. Conclude with a separate summary statement for each measure of effect size that is appropriate for publication in a scientific journal.

Statistics and Probability

A researcher would like to determine if relaxation training affects the number of headaches for chronic headache

Question

A researcher would like to determine if relaxation training affects the number of headaches for chronic headache

sufferers. For a week prior to training, each participant records the number of headaches suffered. Participants then receive relaxation training and for the week following training the number of headaches is again measured. The data are as follows:

Before, After: 6,4 5,1 3,3 3,1 6,2 2,1 4,3 4,2

a. Do the results indicate a significant difference? Use a two-tailed test with α = .05. State the null hypothesis and the tcritical you will use to evaluate the null hypothesis.

b. Compute Cohen’s d and r2 to measure the size of the effect. Conclude with a separate summary statement for each measure of effect size that is appropriate for publication in a scientific journal.

Statistics and Probability

You are employed as an HR manager in an organization in the transportation industry Your director has asked you

Question

you are employed as an HR manager in an organization in the transportation industry. Your director has asked you

to determine whether your organization has an absenteeism problem. In your organization, the absenteeism rate in 2015 was 9.5 days per employee. You visit the website of Statistics Canada labor force survey and discover that in the transportation industry, the average days lost per worker is this sector in 2015 was 10.3 days. On the surface, it looks like you dont have an absenteeism problem.

Provide 4 HR/workplace/human capital metrics in your report that will help to understand whether or not the organization should be concerned about the absenteeism. For each metric, explain why you selected it.

Management

You are employed as an HR manager in an organization in the transportation industry Your director has asked you

Question

you are employed as an HR manager in an organization in the transportation industry. Your director has asked you

to determine whether your organization has an absenteeism problem. In your organization, the absenteeism rate in 2015 was 9.5 days per employee. You visit the website of Statistics Canada labor force survey and discover that in the transportation industry, the average days lost per worker is this sector in 2015 was 10.3 days. On the surface, it looks like you dont have an absenteeism problem.

Provide 4 HR/workplace/human capital metrics in your report that will help to understand whether or not the organization should be concerned about the absenteeism. For each metric, explain why you selected it.

Management

Suppose the lifespan of a Mayfly has exponential distribution with parameter λ (indays) A child puts n them in a

Question

Suppose the lifespan of a Mayfly has exponential distribution with parameter λ (indays). A child puts n them in a

jar (with food and holes for air) and returns one daylater to find that r flies are dead. What is her maximum likelihood estimate for λ?The girl is intrigued, so she repeats the experiment. This time she stays up all day andall night, recording the exact times X1, . . . , Xr at which Mayflies die. (One supposesthis child is either the granddaughter of E. O. Wilson or deeply disturbed.) When shefinally falls asleep 24 hours later, n − r Mayflies are still alive. What is the maximumlikelihood estimate of λ?

Statistics and Probability

Suppose the lifespan of a Mayfly has exponential distribution with parameter λ (indays) A child puts n them in a

Question

Suppose the lifespan of a Mayfly has exponential distribution with parameter λ (indays). A child puts n them in a

jar (with food and holes for air) and returns one daylater to find that r flies are dead. What is her maximum likelihood estimate for λ?The girl is intrigued, so she repeats the experiment. This time she stays up all day andall night, recording the exact times X1, . . . , Xr at which Mayflies die. (One supposesthis child is either the granddaughter of E. O. Wilson or deeply disturbed.) When shefinally falls asleep 24 hours later, n − r Mayflies are still alive. What is the maximumlikelihood estimate of λ?

Statistics and Probability

A study was done to compare the lung capacity ofcoal miners to the lung capacity of farm workers The

Question

A study was done to compare the lung capacity of

coal miners to the lung capacity of farm workers. The

researcher studied 200 workers of each

type. Other factors that might affect lung capacity are smoking habits and exercise habits. The

smoking habits of the two worker types are similar, but the coal miners generally exercise less

than the farm workers.

1. Which of the following is the explanatory variable in this study?

a. Exercise

b. Lung capacity

c. Smoking or not

d. Occupation

Statistics and Probability

A study was done to compare the lung capacity ofcoal miners to the lung capacity of farm workers The

Question

A study was done to compare the lung capacity of

coal miners to the lung capacity of farm workers. The

researcher studied 200 workers of each

type. Other factors that might affect lung capacity are smoking habits and exercise habits. The

smoking habits of the two worker types are similar, but the coal miners generally exercise less

than the farm workers.

1. Which of the following is the explanatory variable in this study?

a. Exercise

b. Lung capacity

c. Smoking or not

d. Occupation

Statistics and Probability

In the linear regression model we sometimes assume that the disturbance term

ui
follows a normal distribution.

Question

In the linear regression model, we sometimes assume that the disturbance term ui follows a normal distribution.

Does this imply that the estimator b2 also follows a normal distribution?

A.b Yes, it does.

B. Only if xi follows a normal distribution too.

C. Only if β2 follows a normal distribution too.

D. No, b2 follows a t distribution.

Statistics and Probability

A study by the University of Montreal examined a new test to deepen the evaluation of mental states through the

Question

A study by the University of Montreal examined a new test to deepen the evaluation of mental states through the

creation and validation of a practical measure, the Mental States Task (MST). The researchers examined many factors including age and the valid and reliable PANAS test. The data is in an excel file named Montreal_Study_on_Mental_States and is also in this week’s assignment area. Using this data set, perform a correlation analysis using the subject’s age (AGE) as a predictor of their PANAS score (PANAS) of all the subjects.

What is the independent variable and what is the dependent variable? In the stat crunch software how do I make a scatterplot step by step

Hurricane Data (Name, Year, Gender, Deaths, Etc..)
StatCrunch
Applets
Edit
Data
Stat
Graph
Help
Row
Year
Name
MasFem
sure_before Minpressure Gender_MF Category alldeaths
NDAM
Elapsed Yrs Source…
Statistics and Probability

Two Factor ANOVA

An experiment was done to determine the effects of four different pesticides

Question

Two Factor ANOVA. An experiment was done to determine the effects of four different pesticides

(P1 to P4) on the yield of fruit from three different varieties of a citrus tree (V1 to V3). Eight trees of each variety were randomly selected from an orchard. The four pesticides were randomly assigned to two trees of each variety and applications were made according to recommended levels. Yields of fruit (in bushels per tree) is the Response Variable. This is a two factor ANOVA problem. The JMP output for the full model with an interaction term is given below.

The JMP ANOVA tables are given below with seven items whited out that you will need to fill in (numbered in red). JMP provides an ANOVA table for the overall model and then an Effects Table for each term in the model – Variety, Pesticide, and an interaction term. The output uses alpha = .05.

Based on the resus given above, in terms pf the interaction between Variety and Pesticide, we would conclude there is an interaction present.

Summary of Fit
RSquare
1
R.Square Adj
0. 8647
Root Mean Square Error\
6.5032
Mean of Response
61. 4583
Observations ( or Sum
WETS )
2
Analysis of Variance*
Source
OF
Sum of Squares Mean Square*
F Ratio
Model
1 1
$680. 458.3
607. 314 4
Error
12
507. 5
47
Prob : F
C. Total
2.3
5
2. 0001
Effect Tests
Source
Nparm
OF
Sum of
Squares
F Ratio
Prob = F
Variety
2
3996. 08.33
_. 0001
Pesticide
E
2227. 458.3
17.5563
0.0001
Variety* Pesticide
456.9167
1. 8007
0. 1817
Statistics and Probability

How do you get the answer for data file #

2 ncu BTM7104-8 question #4 (the data below are the number of hours of

Question

how do you get the answer for data file # 2 ncu BTM7104-8 question #4 (the data below are the number of hours of

homework done as reported by 24 high school juniors for the last week in September 2006. 6,5,6,4,6,6,9,7,6,3,8,5,5,8,6,5,8,6,5,7,5,8,7,4, create a histogram using the above data. use bin width (size of the bar) of 2 hours

Statistics and Probability

Please Clearly write down Ho H1 test statistic value and pvalue (critical value) Also share your conclusion in

Question

Please Clearly write down Ho, H1, test statistic value and pvalue (critical value). Also share your conclusion in

context of the problem. Thank you.

4. Iron-deficiency anemia is an important nutritional heah problem in the United
States. A dietary assessment was performed on fifteen 9-11 year old male children
whose families were below the poverty level. The mean daily iron intake among these
children was found to be 12.5 mg with standard deviation 4.75 mg. Also, the mean
daily iron intake among a sample of 45 9-11 year old boys from all income strata is
14.44 mg with a standard deviation of 3.54 mg. Carry out an appropriate hypothesis
test to determine if the mean daily intake of 9-11 year old male children in the
poverty level group is less than that of the mean from all income strata. You may
assume that the daily iron intake variance is the same between the two groups. Clearly write down H0, H1, test statistic value and Milli? (critical value). Also share
your conclusion in context of the problem. Provide a 95% confidence interval for the mean daily intake for children in the low
income group
Statistics and Probability

A

sample of 245 government employees and some number of
respondents from private corporations

Question

A sample of 245 government employees and some number of respondents from private corporations

answered the question on working time in 2018. Compare their weekly average working time and answer the question: Did government employees on average work more than private employees in the U.S. in 2018?

Govt or Private employee
N
Mean.
Std. Deviation.
Std error mean
Number of
Government
245
41.34
13.232
.845
hours worked
last week
Private
41.47
14.676
.441
T test for equality of means
T
df
Sig(2 tailed test). Mean Diff.
Std.Error Diff
95% confidence
Level interval
Lower/upper
Number of
Equal
hours
variances
-.120
1350
.904
1.019
-2.120/1.876
worked last
assumed
week

Statistics and Probability

I’m getting stuck on 1c

Do I use the tables to create expected values and then plug them into the Xsq equation?

Question

I’m getting stuck on 1c. Do I use the tables to create expected values and then plug them into the Xsq equation?

The answer I got is 10.325. Is that right? I’m not sure what to do next.

a. Perform a chi-square test of association between smoking status and lung cancer. Show
all steps and state your conclusions fully. Also, describe how your conclusions compare
to those in the…
Statistics and Probability

Are lowfat diets or lowcarb diets more effective for weight loss? A sample of 80 subjects went on a

Question

Are low-fat diets or low-carb diets more effective for weight loss? A sample of 80 subjects went on a

low-carbohydrate diet for six months. At the end of that time, the sample mean weight loss was 11.5 pounds with a sample standard deviation of 7.17 pounds. A second sample of 75 subjects went on a low-fat diet. Their sample mean weight loss was 17.9 with a standard deviation of 6.75. Can you conclude that the mean weight loss differed between the two diets? Use α = 0.05 significance level.

SOLUTION: H0 : HA : Calculator command: P-value: Conclusion:

Statistics and Probability

Hi!how to findUsing information from the frequency distribution in Exercise 5 answer the

Question

Hi!

how to find

Using information from the frequency distribution in Exercise 5, answer the

following:

a. What percentage of the nursing home residents had at least 1 fall?

The following data represent the number of times that a sample of residents in nursing homes who were aged 80 or older fell during a 12-month period.

3 3 4 1 1 2 1 1 2 0

4 1 0 3 2 6 1 0 0 1

0 1 1 1 1 1 3 2 1 0

1 3 1 1 0 4 6 9 0 1

Statistics and Probability

I’ve attached two questions separately below

Both these questions involve categorical variables.

Question

I’ve attached two questions separately below. Both these questions involve categorical variables.

12.18)
Chi square test for goodness of fit
H0:All frequencies are equal
H1: all frequencies are different
Observed Expected Difference Difference Sq. Diff. Sq. / Exp Fr. ABS brakes 20 20 0.00 0.00…
Statistics and Probability

Regression

6.
It is commonly assumed that faster

Question

a. What is the correlation between speed and price? What does it mean?

b. What is the independent variable?

c. What is the dependent variable?

d. What is the regression equation (using the values from the output above)?

e. Is there a significant relationship between the variables? How do you know?

f. In words, what is the relationship between the two variables (i.e., strength and direction)?

g. Predict the price for a computer with a 1.9 gigahertz speed.

Statistics and Probability

See Attachment AMA style of reference is required and must be numberedIncitation is

Question

See Attachment.

AMA style of reference is required and must be numbered

In-citation is

required

Don’t worry about proposal I will attach previously submitted doc

Introduction Must contain Statement of purpose

Introduction
Arm span has is the measurement from one end of the arm (from fingertips) to other end when
raised parallel to the ground at shoulder height at an angle of 90 degrees. From ancient…
Statistics and Probability

Discussion Using

t

Tests

This week’s Introduction about a NASA rocket provided an

Question

Discussion: Using

t

Tests

This week’s Introduction about a NASA rocket provided an

example of when a t test may be used in a real-life situation. analyze a research question of your choice using a t test.

To prepare for this Discussion:

Consider,
for example to compare the mean weight of a
bag of chocolate chip cookies to the mean that
the industry claims
Sleps to prepare for discussion
Here one null and aernative mypothesis…
Statistics and Probability

Hello

I have an additional problem, wanted to know if you could help me with this as well.

Question

Hello.

I have an additional problem, wanted to know if you could help me with this as well.

t-Test: Two-Sample Assuming Equal Variances Mean
Variance
Observations
Pooled Variance
Hypothesized Mean Difference
df
t Stat
P(T;=t) one-tail
t Critical one-tail
P(T;=t) two-tail
t Critical…
Statistics and Probability

***PLEASE PROVIDE ALL METHODS AND EQUATIONS THANK YOU **10 61 The perstore daily customer count

Question

***PLEASE PROVIDE ALL METHODS AND EQUATIONS, THANK YOU **

10.61 The per-store daily customer count

(i.e., the mean number of customers in a store in one day) for a nationwide convenience store chain that operates nearly 10,000 stores has been steady, at 900, for some time. To increase the customer count, the chain is considering cutting prices for coffee beverages. The question to be determined is how much to cut prices to increase the daily customer count without reducing the gross margin on coffee sales too much. You decide to carry out an experiment in a sample of 24 stores where customer counts have been running almost exactly at the national average of 900. In 6 of the stores, the price of a small coffee will now be $0.59, in 6 stores the price of a small coffee will now be $0.69, in 6 stores, the price of a small coffee will now be $0.79, and in 6 stores, the price of a small coffee will now be $0.89. After four weeks of selling the coffee at the new price, the daily customer count in the stores was recorded and stored in .

a. At the 0.05 level of significance, is there evidence of a difference in the daily customer count based on the price of a small coffee?

***PLEASE PROVIDE ALL EQUATIONS AND ANSWERS, THANK YOU**

Statistics and Probability

Need answers for the following worksheet within the hour Please show work Thanks!

;

Question

Need answers for the following worksheet within the hour. Please show work. Thanks!

Confidence Intervals Worksheet
Use your TI/84 calculator to practice finding confidence intervals for a population mean and a population
proportion! First review the following worked examples:
1….
Statistics and Probability

Hello please see the attach file This can be due by tomorrow evening

Thank you.

Question

Hello, please see the attach file. This can be due by tomorrow evening. Thank you.

8 questions, some with parts
1. IQ Score Invest in market No. Investment Totals 1 893 4,682 5,575 2 1,327 8,959 10,286 3 2,110 9,519 11,629 4 5,387 19,584 24,971 5 8,108 24,602 32,710 6 10,121…
Statistics and Probability