The job type distribution in the state are summarized in the table below.
Job Type |
Percent in State |
Expected Frequency |
Blue-Collar |
23% |
|
White-Collar |
26% |
|
Pink-Collar |
43% |
|
Unemployed |
8% |
Suppose a random sample of 3000 adults from your town are surveyed. The table below shows the results of the survey. Fill in the expected frequencies in the above table.
Job Type | Frequency |
Blue-Collar | 598 |
White-Collar | 883 |
Pink-Collar | 1219 |
Unemployed | 300 |
Test the if the distribution is as expected at the 5% significance level.
Test statistic (round to 2 decimal places):
p-value:
Applying chi square test:
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
Blue-Collar | 0.230 | 598 | 690.00 | -3.50 | 12.267 |
White-Collar | 0.260 | 883 | 780.00 | 3.69 | 13.601 |
Pink-Collar | 0.430 | 1219 | 1290.00 | -1.98 | 3.908 |
Unemployed | 0.080 | 300 | 240.00 | 3.87 | 15.000 |
total | 1.000 | 3000 | 3000 | 44.776 |
Test statistic X2 =44.78
p value =0.0000
Reject Ho ; we have sufficient evidence at 0.05 level to conclude that the distribution is not as expected.
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