Task: Perform hypothesis testing on one variable's data. (Choose either the intrinsic or extrinsic column.) Perform a t-test by formulating a null and an alternative statement, choosing an acceptable significance value, determining the appropriate critical value, selecting the test statistic and determining its value from the sample data, comparing the observed value to the critical value obtained and determining whether to reject or fail to reject the null hypothesis.
In a separate paragraph, provide some information on when to use a t-test and when to use a z-test and why. Also, provide some information about why samples are used instead of populations.
Please view the data set in the attached file.
Qualitative Data: In a qualitative analysis data are classified on the basis of descriptive characteristics or on the basis of attributes like sex, literacy, religion, education , etc., which cannot be measured.
So from the given data set Gender, Age, Department, Position and Tenure are ...
This solution shows step-by-step calculations to conduct hypothesis testing on the data set. The null and alternative hypothesis is provided, a t-est is conducted and compared with the p-value and a final decision is made about accepting or rejecting the null hypothesis.