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Last updated 5:01 PM on 10/22/24
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10 Terms

1
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What is the primary difference between experimental and non-experimental research?

Experimental research involves manipulation of an independent variable to establish cause and effect, while non-experimental research is observational and looks for relationships without manipulation.

2
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What does IV stand for and what does it represent?

IV stands for Independent Variable, which is the variable that is manipulated or categorized in an experiment.

3
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What are the four levels of measurement?

Nominal, Ordinal, Interval, and Ratio.

4
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What statistical test is used when the population standard deviation is known and the sample size is large?

The z-test.

5
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What is the null hypothesis in statistical terms?

The null hypothesis (H_0) states that there is no effect or difference, implying that any observed differences are due to sampling error.

6
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Define Type I error.

Type I error is the incorrect rejection of a true null hypothesis, also referred to as a false positive.

7
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What is the relationship between sampling error and the null hypothesis?

Statistical tests assess whether observed differences exceed what would be expected due to sampling error from the null hypothesis.

8
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List the measures of central tendency.

Mean, Median, Mode.

9
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What does a larger sample size do to the standard error?

A larger sample size decreases the standard error, increasing the likelihood of rejecting the null hypothesis.

10
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What is Cohen’s d used for?

Cohen’s d is used to measure the difference between means relative to the standard deviation in t-tests.