Please asssist with question b for all the missing values. The human resource manager at a car dealership wants to know if the ages of its employees arerelated to the department that they work in. Data was compiled and tabulated in a 2-waycontingency table. The employees were classified according to their age and department.Expected count3 are printed below observed countsSaiesAccountsMarkecing RepairsTotal20-291027438817.7426.20***23.6230-392926382223.1826.7234.2430.8640-493332728221944.1550.8865.2058.7750-5981106865432765.9275.9797.3687.75Total151**223201749Chi-Sq -5.348 +**** +0.024 + 15.912 + Chi-Są =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 = 80.395DF = *****, P-Value = ******No cells with expected counts less than 5.a) Name the random variables present in the table above.b) Carefully define the null and altermative hypotheses of the Chi Square testunderlying the generation of the above table.c) Fill in the gaps marked by** *** ***** *****:and本本事車率丰:r-本 :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.") Do the records suggest a relationship or independence between age anddepartment for the employees of this car dealership at the 5% significance level?

b) Null Hypothesis: H0: The variables age and departments are independent. Alternative Hypothesis:…

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