EPY 240 Chapter 13 Review

The probabilities of committing Type I and Type II error are both determined, in part, by the significance level.

A researcher can infer that the research (alternative) hypothesis is supported by rejecting the null hypothesis.

The larger the sample size, the more likely you are to obtain an accurate estimate of the true population value.

Which specific type of error is made when sample data produces "false positive" results?

Descriptive statistics allow researchers to infer that sample data accurately reflects trends in the larger population.

With a one-tailed test, researchers specify a hypothesized direction of difference between research groups.

The probability required for determining statistical signifiance is called what?

A null hypothesis states that the population means are equal, meaning that the IV does not have an effect on the DV.

Which type of signifiance involves the consideration of how useful the results are for real-life applications?

A researcher can ensure that research groups are equivalent as possible (except on the IV) by doing what?