In this unit:

- Explore different types of nonparametric tests and their characteristics.
- Performing nonparametric tests using R functions.
- Understand how to interpret the results of nonparametric tests.

R and RStudio Data Activities

Using the Health_Data, please perform the following functions in R:
1) Find out the mean, median and mode of ‘age’ variable.
-> Displayed in image.
2) Find out whether median diastolic blood pressure is same among diabetic and non-diabetic participants.
-> T-test output displayed in image. P-value>0.05, so we failed to reject H0.
3) Find out whether systolic BP is different across occupational group.
-> Kruskal-Wallis output displayed in image. P-value>0.05, so we failed to reject H0.

Additional Data Activities

Scenario-Based Exercise – 95% Confidence Interval
- An HR organisation wishes to introduce a new set of training programs to increase the work efficiency of their employees. To do this, the organisation hires 3 vendors such that each vendor will train a group of employees with a one-week program. It is assumed that the employees across the three groups have same work efficiencies before the start of the program. The following table summarises the scores obtained post the one-week training. Each group has 8 employees. - Now, find out the mean efficiency of each vendor and determine which vendor shows a higher significance of improvement in employee efficiency statistically at the 95% level.

Email

dwane.lay@gmail.com