Are these assumptions necessary to use the chi-square procedure for calculating confidence intervals and hypothesis testing? The variables are random non-negative numbers The distribution is right-skewed Their only parameter is the degrees of freedom the mean (mu) and the variance (sigma^2)  of the chi-squared random variable are mean (mu) = the degrees of freedom and the variance (sigma^2) =2degrees of freedom

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Are these assumptions necessary to use the chi-square procedure for calculating confidence intervals and hypothesis testing?

  • The variables are random non-negative numbers
  • The distribution is right-skewed
  • Their only parameter is the degrees of freedom
  • the mean (mu) and the variance (sigma^2)  of the chi-squared random variable are mean (mu) = the degrees of freedom and the variance (sigma^2) =2degrees of freedom
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