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.
a) Name the random variables present in the table above. [2]
b) Carefully define the null and alternative hypotheses of the Chi Square test
underlying the generation of the above table.
a)
The random variables are age employee and department where employee works.
b)
the null hypothesis:
"H_0:" age employee and department where employee works are independent.
the alternative hypothesis:
"H_a:" age employee and department where employee works are dependent.
Comments
Leave a comment