In: Statistics and Probability
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 |
(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.