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T-test and Comparing Two Sets of Data

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Data represents the gender
1 Male 13
2 Females 17
Total scores (cases ) 30

genderData of 291 case
2
1
1
2
1
2
1
1
1
2
1
2
2
2
1
2
1
2
2
2
2
2
1
1
2
2
1
2
2
2
1
2
1
2
2
2
2
1
1
2
2
1
1
1
1
2
2
2
2
2
1
2
2
1
1
2
1
2
2
2
1
1
2
1
1
1
1
1
2
1
2
2
1
2
1
1
2
1
1
2
2
1
2
1
2
1
2
2
2
2
1
2
2
2
2
1
2
1
2
2
2
2
2
2
1
1
1
2
1
2
2
1
2
2
1
2
2
1
2
2
1
2
1
2
2
2
2
1
1
2
2
2
1
2
1
1
2
1
1
2
1
1
1
1
1
2
1
1
2
1
2
2
2
2
1
1
1
1
2
2
2
1
2
1
2
1
2
2
2
2
1
2
2
1
1
2
2
2
1
2
2
2
1
2
1
2
1
1
2
2
2
2
1
2
2
2
2
2
1
2
1
2
1
2
2
1
1
1
1
2
2
2
2
1
2
1
1
1
2
2
2
1
2
1
2
2
2
2
2
2
2
1
2
2
2
2
1
2
2
1
1
2
2
2
2
1
1
2
2
2
1
1
2
2
1
1
1
2
1
2
2
2
2
2
1
2
1
2
1
1
1
2
2
2
2
1
1
2
1
2
2
2
1

EXTRINSIC
7
6.5
6
3
3
4
5
2.5
6
5.5
6
5.5
4
6
6
5
4
4
6.5
5
4
6
4
1.5
6
5
2
6
6
5
7
6
4
1
4
7
6
5.5
6
6
4
6
7
6
6
5.5
5
6
4
4
5
5
6
5
6
7
6
2
1.5
5.5
6
2
4
7
2
6
2
2
6
6
6
6
3
6
2.5
6
5.5
6
6.5
4.5
6
4
6
6
6.5
5.5
5.5
6
3
4
6
3.5
5.5
3
4
5.5
5.5
7
7
6
6
7
6
5.5
1
1.5
1
6
7
6.5
2.5
4
5.5
6
1.5
3
2
4
4
6
7
1.5
6
1
7
6
5
6
6
1.5
6
5
4
2.5
6
6
7
5.5
4.5
2
5
6
6
6
4.5
4.5
7
3
6
2
5.5
5
3
4
7
6.5
4
7
1.5
2.5
6
6.5
6
4
5
3
5.5
6
6
1.5
5.5
3
4
4.5
4.5
6
6
3
4.5
6
6.5
7
4.5
5
6.5
4
6
6
1
4
5
6
1.5
5
6
2.5
4
4
1
7
5.2
5
4
6
3
5.5
6
3
3
6
6.5
6
6.5
5.5
6
6
6
2
6
6
6
4.5
1
4.5
5
3
7
5.5
5.2
5.5
7
6
6
7
7
6
5.5
2.5
6
4
6
4.5
6.5
5.5
5
1
6
4
2
6
6
7
1
5.5
1.5
3.5
6.5
4
6
5.5
6
5
3.5
5.5
5
4.5
3.5
6
4
6
5.5
6
1
6
6
5.5
7
4.5
5
7
6
6
6.5
1
7
5.5
5
6.5

KEY TO JOB SATISFACTION SURVEY

Gender Tenure With Company
1 Male 1 Less than 2 years
2 Female 2 2 to 5 years
Age 3 Over 5 Years
1 21 and under
2 22-49 OVERALL Scale from 1-7
3 50 and over JOB SATISFACTION 1= Least Satisfied
Department 7= Most Satisfied
1 Human Resources
2 Information Technology INTRINSIC Scale from 1-7
3 Administration JOB SATISFACTION 1= Least Satisfied
7= Most Satisfied
Position
1 Hourly Employee (Overtime Eligible) EXTRINSIC Scale from 1-7
2 Salaried Employee (No Overtime) JOB SATISFACTION 1= Least Satisfied
7= Most Satisfied

Work through a t-test to compare the means of two groups of data. One possible example is to compare the tenure of females to the tenure of males. Select one of the quantitative variables from the DataSet (include all 288 cases) and perform a t-test to determine if the Population mean is equal to 5.0. Ensure that you begin by stating the null and alternative hypotheses. Your final answer should point out if the null is confirmed or rejected and why. Please show as much work as possible.
Work through a chi-square test to compare the expected and observed frequencies of two groups within our Unit 1 data set. One possible example is to compare the actual number of female and male participants in the data set. Ensure that you begin by stating the null and alternative hypotheses. Your final answer should point out if the null is confirmed or rejected and why. Please show as much work as possible.

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Solution Summary

This solution provides a null and alternative hypothesis and conducts a chi-square test to determine if the null hypothesis is accepted or rejected. Variables like mean, standard deviation and degrees of freedom are calculated.

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