Pure Maths Report

This research follows the random process of data collection, data analysis, interpretation, representation, conclusion and recommendation. From the results of the analysis, this study draws conclusion. The hypothesis is then to be tested to establish the existence of the relation between the variables chosen, the peoples heights and the BMI.
The statistical method involved in this research is quantitative analysis, with random sampling of data. From the whole sample set of 277 athletes, only 40 were collected without any systematic order. In the selection of the rows, after selecting one or two rows, the next three or four rows were skipped before selecting another row. The samples are then subjected to quantitative analysis. The fields to be used in data analysis are of numerical nature. The approach is suitable because two variable fields of measurable quantities. The random sampling presents the selected data set in the selected sample tab in the spreadsheet for the analysis purposes: The extract for the runners’ heights and the corresponding BMIs are shown in table 1 below:
The analysis of the sample data was conducted using quantitative approach, in relation to the study question and hypothesis. The analysis was based on the central tendencies and the measures of dispersion in the normal distribution of the two variables.
For the sample that was collected, the findings indicate that there is a positive linear correlation between the height of the athletes and the BMI. The coefficient is less than 1, showing that the even though there is a positive linear correlation, the influence of the height of athletes on the BMI values is weak.
The study question was whether there is a relationship between the height and the BMI of the athletes. According to the hypothesis, the findings are true that there is a positive relationship. The strength of this relationship is however very low. This indicates that