17.3 Hypothesis Testing

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Hypothesis tests are frequently used to measure the quality of sample parameters or to test whether estimates on a given parameter are equal for two samples.

Hypothesis tests set up a null hypothesis against an alternate hypothesis, testing, for instance, whether or not the population mean is equal to a certain value, and then using an appropriate statistic to calculate the probability that the null hypothesis is true. You then reject or accept the null hypothesis based on this calculated probability.

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Topics covered in this section:

  • One-Sample T-Test
  • Two-Sample T-Test
  • Pair-Sample T-Test
  • T-Tests on Rows (Pro Only)
  • One-Sample Test for Variance (Pro Only)
  • Two Sample Test for Variances (Pro Only)
  • One-Sample Proportion Test (Pro Only)
  • Two-Sample Proportion Test (Pro Only)
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