Two Sample Proportions Calculator Fields

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Design of Experiments Guide • Prospective Sample Size and Power • Two Sample Proportions Calculator • Two Sample Proportions Calculator Fields

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Two Sample Proportions Calculator Fields

Specify the following quantities and test settings:

The probability of a type I error, which is the probability of rejecting the null hypothesis when it is true. It is commonly referred to as the significance level of the test. The default alpha level is 0.05.

The proportion for population 1, which could be known or hypothesized. The default value is 0.5.

The proportion for population 2, which could be known or hypothesized. The default value is 0.1.

One-Sided or Two-Sided

Select either a one-sided or a two-sided test.

Specify two of the following parameters to calculate the third where the sample sizes are considered as one parameter. The sample sizes must both be entered or both be left blank for calculation.

Null Difference in Proportion

The difference in proportions that you want to detect. The default value is 0.2.

The total number of observations (runs, experimental units, or samples) in the experiment to estimate Proportion 1.

The total number of observations (runs, experimental units, or samples) in the experiment to estimate Proportion 2.

Note: When sample size is calculated, Sample Size 1 = Sample Size 2. If you enter sample sizes, they do not have to be equal.

The probability of rejecting the null hypothesis when it is false. High power is desired. With all other parameters fixed, power increases with sample size.

Calculator Buttons

Evaluates the missing value.

Returns to the previous Sample Size and Power launch window.

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Help created on 10/11/2018