Using a χ² test statistic to test the null hypothesis that the variance of a new process is equal to the variance of the current process and rejecting at p-value less than α,we can conclude that the new process is more consistent than the current process.

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A χ² test statistic is used to test the equality of variances between two populations. If the null hypothesis is rejected at a significance level α, it means that the variances are not equal, and thus one population has a more consistent or precise process than the other. Therefore, if the null hypothesis is rejected at a p-value less than α, we can conclude that the new process is more consistent than the current process.

Using a χ2 Test Statistic to Test the Null Hypothesis

Using a χ² Test Statistic to Test the Null Hypothesis