The human resource manager at a car dealership wants to know if the ages of its employees are related to the department that they work in. Data was compiled and tabulated in a 2-way contingency table....

The human resource manager at a car dealership wants to know if the ages of its employees are related to the department that they work in. Data was compiled and tabulated in a 2-way contingency table. The employees were classified according to their age and department.

a) Name the random variables present in the table above.
b) Carefully define the null and alternative hypotheses of the Chi Square test underlying the generation of the above table.
c) Fill in the gaps marked by ‘*’, ‘**’, ‘***’, ‘****’ , ‘*****’ and ‘******’
d) What is the assumption on which these calculations are based?
e) What is relevance of the statement” No cells with expected counts less than 5.”
f) Do the records suggest a relationship or independence between age and
department for the employees of this car dealership at the 5% significance level? Give reason(s) for your answer.

Extracted text: Expected counts are printed below observed counts Sales Accounts Marketing Repairs Total 20-29 8 10 27 43 88 17.74 *** 26.20 23.62 30-39 29 26 38 22 23.18 26.72 34.24 30.86 40-49 33 32 72 82 219 44.15 50.88 65.20 58.77 50-59 81 106 86 54 327 65.92 75.97 97.36 87.75 Total 151 223 201 749 Chi-Sq = 5.348 + + 0.024 + 15.912 + 1.459 + 0.019 + 0.413 + 2.544 + 2.816 + 7.003 + 0.709 + 9.182 + 3.448 + 11.875 + 1.325 + 12.983 = 80.395 = ***** No cells with expected counts less than 5. DF = *****, P-Value