Hypothesis testing for the standard deviation is strictly a hypothesis test for the variance which requires the following steps:

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Hypothesis testing for the mean requires the following steps:

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Hypothesis testing for the ratio of two standard deviations is based on hypothesis testing for the ratio of two variances according to the following steps:

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Hypothesis testing for the difference in two averages: 1. Randomly sample n1 items from population 1 and n2 from population 2. N1 can be equal to n2.

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One option is to calculate a confidence interval using sample information. If the confidence interval covers the reference value, then the null hypothesis is accepted.

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The following applies to difference in proportions. The same principle is applied to ppms where n1 and n2 are each equal to one million and R1 and R2 are the parts per million.

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The following applies to difference in proportions. The same principle is applied to ppms where n1 and n2 are each equal to one million and R1 and R2 are the parts per million.

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If the sample size is small a popular option is to calculate a confidence interval using sample information. If the confidence interval covers the reference value, then the null hypothesis is accepted.

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If the sample size is small a popular option is to calculate a confidence interval using sample information. If the confidence interval covers the reference value, then the null hypothesis is accepted.

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