Describe the impact of skewness and kurtosis on parametric testing.

  • They can improve the accuracy of parametric testing.
  • They can invalidate the results of parametric testing.
  • They can reduce the variance in parametric testing.
  • They do not impact parametric testing.
Skewness and kurtosis can invalidate the results of parametric testing. Many parametric tests assume that the data follows a normal distribution. If the data is highly skewed or has high kurtosis, these assumptions are violated, and the test results may not be valid.
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