Statistical & Hypothesis Tests: Performing Two-sample T-tests & Paired T-tests
Statistics
| Expert
- 14 videos | 2h 5m 38s
- Includes Assessment
- Earns a Badge
In situations where two independent samples are drawn from different populations or where paired samples are available, such as in a before-after scenario, two-sample and paired T-tests are needed, respectively. Use this course to explore how two-sample T-tests can be used to test the null hypothesis that two independent samples have drawn from populations with equal means. You'll examine type I and type II errors and the use of paired samples T-tests. By the time you finish this course, you will be able to test whether two samples - either drawn independently or explicitly linked - are drawn from populations with equal means.
WHAT YOU WILL LEARN
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discover the key concepts covered in this courserecall the assumptions of the two-sample T-testuse Levene’s test to check for equal variancesuse the two-sample T-test to compare meansrecognize when the Welch’s T-test should be useduse the Welch’s T-test to compare meansdescribe type I and type II errors
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outline the relationship between type I errors and alpha levelsoutline the relationship between type II errors and alpha levelsset up and visualize data for the paired difference T-testperform the paired T-test on paired samplesuse the paired T-test to compare before and after valuesperform paired T-tests with varying outcomes for the null hypothesissummarize the key concepts covered in this course
IN THIS COURSE
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1m 46s
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11m 12s
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7m 27s
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8m 52s
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12m 8s
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9m 18s
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9m 19s
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10m 44s
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10m 35s
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11m 15s
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11m 2s
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10m 28s
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9m 31s
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2m 2s
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