Statistical Analysis

Table of Contents



Aim of the Study3

Hypothesis Testing3

Conclusion5

References6

Appendix7

Statistical Analysis

Aim of the Study

The basic aim of the study is to analyze the differences in their pulse rates before and after running involving all the factors which can be responsible for such variations in the pulse rates before and after the run.

Hypothesis Testing

H1: There is a significant difference between males and females who drink Alcohol.

H1 = )



Original mean difference of the sample is 0.962 as obtained from the data, therefore the mean is present in the interval and we can conclude that there is no significant difference between males and females after the run (Pulse difference). The 95% confidence interval for the order lies between -2.22 to 2.22.

These results conclude that the activities of drinking alcohol and smoking though done in an equal ratio by men and women as explained in the tables below but the results are different in both the cases because women run in a greater ratio than men i.e. most of the women ran.

H2: There is a significant difference between the pulse 1 of males and females.

H2 = )



Original mean difference of the sample is -5.01 as obtained from the data, therefore the mean is not present in the interval and we can conclude that there is a significant difference between males and females pulse rates before the run. The 95% confidence interval for the order lies between -1.359 to 1.359.

H3: There is a significant difference between the pulse 2 of males and females.

H3 = )



Original mean difference of the sample is -1.24 as obtained from the data, therefore the mean is not present in the interval and we can conclude that there is no significant difference between males and females after the run. The 95% confidence interval for the order lies between -2.123 to 2.123.

H4: There is a significant difference between the pulse rate difference of males and females after they ran.

H4 = )



Original mean difference of the sample is -0.02 as obtained from the data, therefore the mean is not present in the interval and we can conclude that there is no significant difference between males and females after the run. The 95% confidence interval for the order lies between

-0.298 to 0.298.

But it can be seen from the results that the fourth hypothesis is proved under the 95% confidence interval that there was not a significant difference in the pulse rate ...