In Chi ^ 2 tests, a large difference between observed and expected frequencies increases chances that the null hypothesis will be rejected and the outcome of the test will be not significant. B. decreases chances that the null hypothesis will be rejected and the outcome of the test will be significant. C. increases chances that the null hypothesis will be rejected and the outcome of the test will be significant.

Question

In Chi ^ 2 tests, a large difference between observed and expected frequencies

  • increases chances that the null hypothesis will be rejected and the outcome of the test will be not significant.
  • B. decreases chances that the null hypothesis will be rejected and the outcome of the test will be significant.
  • C. increases chances that the null hypothesis will be rejected and the outcome of the test will be significant.

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