1. When conducting a t test for independent means, mewM A. Is always equal to 0
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Question
1. When conducting a t test for independent means, mewM A. Is always equal to 0 B. Is always equal to 1 C. Is always equal to -1 D. Depends on the population2. The comparison distribution in a t test for dependent means is a distribution of A. Means B. Differences between means C. Means of difference scores D. Dependent means 1. When conducting a t test for independent means, mewM A. Is always equal to 0 B. Is always equal to 1 C. Is always equal to -1 D. Depends on the population
2. The comparison distribution in a t test for dependent means is a distribution of A. Means B. Differences between means C. Means of difference scores D. Dependent means A. Is always equal to 0 B. Is always equal to 1 C. Is always equal to -1 D. Depends on the population
2. The comparison distribution in a t test for dependent means is a distribution of A. Means B. Differences between means C. Means of difference scores D. Dependent means
Explanation / Answer
1. Answer is D
2. Answer is B Differences between means
Explaination-
For the one-sample t test, we use individual scores; for the paired-samples t test, we use difference scores. The comparison distribution is a distribution of mean difference scores (rather than a distribution of means).
Population 1: Job types in Boise, Idaho.
Population 2: Job types in Los Angeles, California
The comparison distribution will be a distribution of mean differences.
The hypothesis test will be a paired-samples t test because we have two samples, and all participants are in both samples.
We do not know whether the population is normally distributed, there are only 12 observations in total, and there is not much variability in the data in our samples, so we should proceed with caution. The data were not randomly selected, so we should be cautious when generalizing beyond this sample of job types.
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