Independent Sample Tests - Comparing Two Means

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The tests employed depend upon:

  • Whether a weight is or is not applied (or, equivalently, a design effect has been specified).
  • Settings in Statistical Assumptions (in addition to the settings below, tests are not conducted when a group has a sample size less than the number specified in Minimal sample size for testing).

If viewing Column Comparisons and an ANOVA-Based Column Comparison test has been selected in Multiple comparison correction then:

Else:

If the data is weighted: Independent Complex Samples Z-Test - Comparing Two Means
If the data is not weighted:
If the sample size in either group is less than Equal variance in tests when sample size is less than: Independent Samples Z-Test - Comparing Two Means with Equal Variances
Else: Independent Samples Z-Test - Comparing Two Means with Unequal Variances
If the data is weighted: Independent Complex Samples t-Test - Comparing Two Means
If the data is not weighted:
If the sample size in either group is less than Equal variance in tests when sample size is less than: Independent Samples t-Test - Comparing Two Means with Equal Variances
Else: Independent Samples t-Test - Comparing Two Means with Unequal Variances

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