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.
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
DF = *****, P-Value = ******
No cells with expected counts less than 5.
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                       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.
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