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2 cards from this section. Quick, good the night before a test.
Define standard deviation in your own words.
Think about how spread out numbers are.
What does the null hypothesis state?
What do we assume before running a test?
What does the Standard Deviation Test help us determine?
Think about what the test is most focused on evaluating.
True or False: A null hypothesis suggests that there is a significant difference between two populations.
Remember what 'null' suggests in hypothesis testing.
You have two different manufacturing processes with variances of 36 and 25. Using a sample size of 50 for each, conduct a Standard Deviation Test. What are the null and alternative hypotheses, and calculate the Z statistic.
Break down each part of the Z formula carefully.
In a study, the variance of the first group is twice that of the second group. Discuss how such a result could impact the research conclusions.
Think about what differing variances could mean for study results.
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