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Exerices_on_independent-samples_t-test

# Exerices_on_independent-samples_t-test - The t Test for...

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March 29, 2010 The t Test for Independent Means Multiple-Choice Questions #1- A distinguishing feature of the t test for independent means is: a) dependent populations are treated as if they are unrelated. b) The difference between the means of the two independent samples is evaluated. c) Variance is not used in this procedure. d) The variance of the parent populations is unrelated to the variance of the samples. #2- When conducting a t test for independent means using a two-tailed test, the null hypothesis typically states that: a) the mean of Population 1 is the same as the mean of Population 2. b) the mean of Population 1 is different from the mean of Population 2. c) the variance of Population 1 is less than or the same as the variance of Population 2. d) the variance of Population 1 is different from the variance of Population 2. #3- In a t test for independent means, because there are two samples we end up with two estimates of the population variance. If the sample sizes are different, the estimates are combined by: a) directly averaging the estimates into one number. b) Finding a weighted average. c) Pooling the raw data of each sample, then finding the variance of the new super sample. d) Finding the difference of the estimates (that is the estimate for Population 1 minus the estimate for Population 2), and using a special table to look up the new estimate based on that difference.

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#4- The distribution of differences between means has a mean of: a) the population variance divided by N. b) the pooled mean of the sample means c) 0 d) 1 #5- In estimating the population variance, a weighted average is used when: a) there are extreme scores in the sample. b) The samples are skewed. c) One sample is considered more representative of the population than the other.
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Exerices_on_independent-samples_t-test - The t Test for...

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