testing steps
types of errors
Critical Values and Decisions
z test basics
one tail vs two tailed
100

The first step when you decide what you want to test 

What is identifying a hypothesis?

100

The type of error that occurs when you reject a true null hypothesis.

What is a Type I error?

100

These numbers mark the point where results are considered extreme enough to reject the null hypothesis.

What are critical values?

100

This test is used when the population mean and standard deviation are known.

What is a z-test?

100

This type of test looks for any difference from the null hypothesis (greater or less than)

What is a two-tailed test?

200

This determines whether a test is one-tailed or two-tailed.

What is the alternative hypothesis?

200

This type of error occurs when you fail to reject a false null hypothesis.

What is a Type II error?

200

If your p-value is smaller than alpha, you should do this.

What is rejecting the null hypothesis?

200

This value compares the sample mean to the population mean in standard units.

What is a z-score (z statistic)?

200

This type of test looks for differences in a specific direction, most used when there is prior knowledge.

What is a one-tailed test?

300

A step that involves choosing the rule for rejecting or not rejecting the null hypothesis.

What is selecting a criterion (alpha level)?

300

This type of error occurs when you fail to reject a false null hypothesis.

What is power?

300

This is the range of test statistic values that leads you to reject the null hypothesis.

What is the rejection region?

300

This condition must be met to use a z-test instead of a t-test.

What is knowing the population mean and standard deviation?

300

This amount is placed into each tail when a two-tailed test has an a =.05

What is .025?

400

The step where sample data is used to determine the value of the test statistic.

What is computing the test statistic?

400

Another name for a Type I and Type II error.

What is a false positive? What is a false negative?

400

If your test statistic does not land in the rejection region, you do this.

What is fail to reject the null hypothesis?

400

This symbol represents the population standard deviation.

What is σ?

400

This type of hypothesis uses “≠” as its symbol

What is a nondirectional hypothesis

500

This final step determines whether you reject the null hypothesis.

What is comparing results and making a decision?

500

a Type III error

What error is it when you correctly reject the null hypothesis but incorrectly conclude the direction of the difference? (example: you are looking for one-tailed, but you use two-tailed.)

500

This decision rule tells you whether to reject the null hypothesis.

What is compare the test statistic to the critical value?

500

This is the known population mean symbol.

What is μ?

500

This type of test is most common in behavioral sciences.

What is a two-tailed test?

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