A factory compares samples of well-produced widgets and defects from two manufacturing plants:
Plant 1 Plant 2
Good 600 450
Defect 40 50
Use a hypothesis test at 95% to determine if the plants are not performing the manufacturing process with similar success.
Here we need to compare two proportions so z test for comparing proportions will be used.
Here the claim (alternative hypothesis) is
So test is two tailed. Following is the null hypothesis:
Here we have
Pooled sample proportion is
Standard error of the test is:
So test statistics will be
The p-value is:
p-value = 0.0198
Excel function used for p-value: "=2*(1-NORMSDIST(2.33))"
Since p-value is less than 0.05 so we reject the null hypothesis.
That is we can conclude that the plants are not performing the manufacturing process with similar success.
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