Question

In: Statistics and Probability

2. In one of the firms, the staffs are working in 4 different units. All of...

2. In one of the firms, the staffs are working in 4 different units. All of them using a statistical package to do their job. The CEO of the firm claims that there is a relationship between the statistical package and units of the firm. The units in the firm are Human Resources, Information Technologies, Accounting, and Finance. The packages used in the firm are EViews, Stata, SPSS Test this claim with 0.05 significance level by using the correct test and showing each calculation step in Ms Word file. You have to use the same steps which we used in the lecture. You can find the steps from lecture slides or recorded video. SEND IT IN MS WORD FORMAT NOT SCREENSHOT

a) Find the expected value for each cell by showing each step of the calculations. (10 points) If you don’t show each step, you will get 0

b) Find the Chi-Square calculated by showing each step of the calculations. (20 points) If you don’t show each step, you will get 0

c) Find the Chi-Square Table value (10 points)

d) Write your decision (10 points)

EView

Stata

SPSS

HM

40

40

30

IT

50

80

20

Accounting

60

40

10

Finance

50

20

30

Solutions

Expert Solution

(a)

H0:Null Hypothesis: there is no relationship between the statistical package and units of the firm.

HA: Alternative Hypothesis: there is a relationship between the statistical package and units of the firm. (Claim)

Observed Frequencies:

EView Stata SPSS Total
HM 40 40 30 110
IT 50 80 20 150
Accounting 60 40 10 110
Finance 50 20 30 100
Total 200 180 90 470

the expected value for each cell is found as follows:

Expected Frequencies:

EView Stata SPSS Total
HM 200X110/470=46.809 180X110/470=42.128 90X110/470=21.064 110
IT 200X150/470=63.830 180X150/470=57.447 90X150/470=28.723 150
Accounting 200X110/470=46.809 180X110/470=42.128 90X110/470=21.064 110
Finance 200X100/470=42.553 180X100/470=38.298 90X100/470=19.149 100
Total 200 180 90 470

(b)

Chi Square is found as follows:

Observed (O) Expected (E) (O - E)2/E
40 46.809 (40-46.809)2/46.809=0.990
40 42.128 (40-42.128)2/42.128=0.107
30 21.064 (30-21.064)2/21.064=3.791
50 63.830 (50-63.830)2/63.830=2.996
80 57.447 (80-57.447)2/57.447=8.854
20 28.723 (20-28.723)2/28.723=2.649
60 46.809 (60-46.809)2/46.809=3.718
40 42.128 (40-42.128)2/42.128=0.107
10 21.064 (10-21.064)2/21.064=5.811
50 42.553 (50-42.553)2/42.553=1.303
20 38.298 (20-38.298)2/38.298=8.742
30 19.149 (30-10.149)2/10.149=6.149
Total = Chi Square = 45.220

(c)

df = (r - 1) X(c - 1) = (4 - 1) X (3- 1) = 6

= 0.05

the Chi-Square Table value = 12.592

(d)

Since calculated value of = 45.220 is greater than critical value of = 12.592, the difference is significant. Reject null hypothesis.

Conclusion:
The data support the claim that there is a relationship between the statistical package and units of the firm.


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