In: Statistics and Probability
Among 1,000 managers with degrees in business administration, the following data have been accumulated as to their fields of concentration.
Major |
Top Management |
Middle Management |
TOTAL |
Management |
280 |
220 |
500 |
Marketing |
120 |
80 |
200 |
Accounting |
150 |
150 |
300 |
TOTAL |
550 |
450 |
1000 |
We want to determine if the position in management is independent of field (major) of concentration.
a. |
Compute the test statistic. |
b. |
Using the p-value approach at 90% confidence, test to determine if management position is independent of major. |
c. |
Using the critical value approach, test the hypotheses. Let alpha = 0.10. |
( a )
Observed Frequencies
B1 | B2 | Total | |
A1 | 280 | 220 | 500 |
A2 | 120 | 80 | 200 |
A3 | 150 | 150 | 300 |
Total | 550 | 450 | 1000 |
Expected Frequencies
B1 | B2 | Total | |
A1 | 275 | 225 | 500 |
A2 | 110 | 90 | 200 |
A3 | 165 | 135 | 300 |
Total | 550 | 450 | 1000 |
Compute Chi-square
test statistic = 5.2525
( b )
Compute the degrees of freedom (df).
df=(3-1)⋅(2-1)=2
for 2 df, p(χ2≥5.2525)=0.0723
Since the p-value(0.0723) < 0.10
we reject the null hypothesis H0.
management position is not independent of major
( c )
At alpha = 0.10 ,df = 2
Chi square critical value = 4.605
Chi square cal > chi square c .v
i.e., 5.2525 > 4.605
we reject the null hypothesis H0.
management position is not independent of major