Question

In: Statistics and Probability

A Deloitte employment survey asked a sample of human resource executives how their company planned to...

A Deloitte employment survey asked a sample of human resource executives how their company planned to change its workforce over the next 12 months. A categorical response variable showed three options: the company plans to hire and add to the number of employees, the company plans no change in the number of employees, or the company plans to lay off and reduce the number of employees. Another categorical variable indicated if the company was private or public. Sample data for 180 companies are summarized as follows.

Employment Plan Company
Private Public
Add Employees 37 32
No Change 19 34
Lay Off Employees 16 42

Find the value of the test statistic. (Round your answer to three decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

Solutions

Expert Solution

Solution:

Hypothesis are:

H0: Employment Plan and Company are independent

Vs

H1:  Employment Plan and Company are NOT independent

Sample data for 180 companies are summarized as follows.

Employment Plan Company
Private Public
Add Employees 37 32
No Change 19 34
Lay Off Employees 16 42

Part a) Find the value of the test statistic.

Where

Oij = Observed frequencies for ith row and jth column.

Eij = Expected frequencies for ith row and jth column.

Where

Thus we need to make following table:

Observed Frequencies
Company
Employment Plan Private Public Total
37 32 69
Business class 19 34 53
Economy Class 16 42 58
Total 72 108 180

Thus

Thus

Oij Eij Oij2/Eij
37 27.600 49.601
32 41.400 24.734
19 21.200 17.028
34 31.800 36.352
16 23.200 11.034
42 34.800 50.690
N = 180

Thus

Chi-square test statistic =

Part b) Find the p-value

df = ( R - 1) X (C - 1)

R = Number of Rows = 3

C = Number of Columns = 2.

df = ( R - 1) X (C - 1)

df = ( 3 - 1) X (2 - 1)

df = 2 X 1

df = 2

Use following Excel command:

=CHISQ.DIST.RT( x , df)

=CHISQ.DIST.RT(9.440 , 2 )

=0.0089

Thus p-value = 0.0089


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