
1 . 

Inferential statistics are used to prove that the outcome of an experiment was not due to chance. [Hint]


2 . 

The central limit theorem implies that the mean of a set of samples drawn from a particular population will be near the true population mean. [Hint]


3 . 

The central limit theorem assumes that the mean of any sample drawn from a particular population will be within 1 standard deviation of the mean of that population. [Hint]


4 . 

The more risk of making a Type I error a researcher is willing to take, the smaller the error value will be set. [Hint]


5 . 

If the level of significance in an experiment is 0.05, this means that there is a 5% chance that the null hypothesis is true. [Hint]


6 . 

Suppose that a researcher studies maze learning in rats. One group of rats is injected with a drug that is supposed to make them learn faster, while the other group does not get the drug. After training, the researcher conducts an inferential test to determine if there were significant differences between the groups, and concludes that the drug was ineffective. In fact, however, the groups did differ, but the test did not detect this difference. This researcher has made a Type I error. [Hint]


7 . 

A statistical test’s critical value is the minimum obtained value needed to reject the null hypothesis at a given significance level. [Hint]


8 . 

Suppose one researcher collects data comparing how much teenage boys and girls spent on clothes. Another researcher collects data comparing how much boys spend on clothes when they are teenagers versus how much they spend when they are applying for their first job. These researchers should use different statistical tests to analyze their data. [Hint]


9 . 

The null hypothesis that is tested when assessing the significance of a correlation coefficient is: H_{0} = 0. [Hint]


10 . 

Metaanalysis requires that dependent variables from different studies were measured in exactly the same way. [Hint]


