Suppose you want to know whether a training program that your company (an automo

Question

Suppose you want to know whether a training program that your company (an automobile manufacturer) has introduced recently in one of the plants has had any effect on worker mistakes. To test this, you decide to gather data for the plant that received the training and four other plants. The data you gather are monthly reports of the total number of mistakes made by workers during that month in each plant. Which of the following tests should be performed, given only this information? O A z-test for population proportion O An F-test for difference in means O A z-test for the difference in means O A paired sample t-test for difference in means O Az-test for the mean O At-test for the mean O An independent samples t-test for difference in means (unequal variances) O A chi-squared test for variance O Az-test for difference in proportions O An independent samples t-test for difference in means (equal varia O An F-test for difference in variances

Explanation / Answer

If you want to know whether the average number of mistake made by all plants & the plant that received the training is same or not

In this scenario, we should use F testfor difference in means

note: we should not use Z test or t-test because both deals with two groups only & we have 5 groups in total

### Answer: An F-test for difference in means

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