# Stats Chapter 9

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question
With ? = .05, what is the critical t value for a one-tailed test with n = 15? t = 1.761 t = 2.145 t = 1.753 t = 2.131
t = 1.761
question
Under what circumstances can a very small treatment effect be statistically significant? If the sample size is small and the sample variance is large. If the sample size is big and the sample variance is small. If the sample size and the sample variance are both small. If the sample size and the sample variance are both large.
If the sample size is big and the sample variance is small.
question
Looking at the degrees of freedom value tells you something about _____. the directionality of the hypothesis test the alpha level the size of the sample the null hypothesis
the size of the sample
question
If other factors are held constant, what is the effect of increasing the sample variance? It will decrease the estimated standard error and increase the likelihood of rejecting the null hypothesis. It will increase the estimated standard error and decrease the likelihood of rejecting the null hypothesis. It will decrease the estimated standard error and decrease the likelihood of rejecting the null hypothesis. It will increase the estimated standard error and increase the likelihood of rejecting the null hypothesis.
It will increase the estimated standard error and decrease the likelihood of rejecting the null hypothesis.
question
With ? = .01, the two-tailed critical region for a t-test using a sample of n = 16 participants would have boundaries of _____. t = ±2.583 t = ±2.602 t = ±2.947 t = ±2.921
t = ±2.947
question
Which of the following is a fundamental difference between the t-statistic and a z-score? The t statistic uses the sample variance in place of the population variance. The t statistic is used for large samples only. The t statistic uses the sample mean in place of the population mean. The t statistic computes the standard error by dividing the standard deviation by n - 1 instead of dividing by n.
The t statistic uses the sample variance in place of the population variance.
question
When n is small (less than 30), how does the shape of the t distribution compare to the normal distribution? It is taller and narrower than the normal distribution. It is almost perfectly normal. It is flatter and more spread out than the normal distribution. There is no consistent relationship between the t distribution and the normal distribution.
It is flatter and more spread out than the normal distribution.
question
The decision to use a directional versus non-directional hypothesis test most directly affects _____. the critical value(s) the sample size the alpha level the degrees of freedom
the critical value(s)
question
A researcher conducts a hypothesis test using a sample from an unknown population. If the t statistic has df = 35, how many individuals were in the sample? n = 35 n = 36 n = 33 n = 34
n = 36
question
If other factors are held constant, what is the effect of increasing the sample size? It will decrease the estimated standard error and decrease the likelihood of rejecting the null hypothesis. It will decrease the estimated standard error and increase the likelihood of rejecting the null hypothesis. It will increase the estimated standard error and increase the likelihood of rejecting the null hypothesis. It will increase the estimated standard error and decrease the likelihood of rejecting the null hypothesis.
It will decrease the estimated standard error and increase the likelihood of rejecting the null hypothesis.
question
To compute a one-sample t-test a researcher has to know several values. Which of the following is NOT a value that the researcher must know to compute this test? The sample variance The sample size The estimated standard error The population variance