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What Is A Good Sample Size For T Test

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What Is A Good Sample Size For T Test. There is no minimum sample size for the t test to be valid other than it be large enough to calculate the test statistic. For a test with \alpha = 0.05 and \beta = 0.10, the minimum sample size required for the test is n = (1.645 + 1.282)^2 = 8.567 \approx 9 \,.

Resource For An Explanation Of Sample Size Calculation When Alpha Power And Effect Size For T Test Are Given Cross Validated
Resource For An Explanation Of Sample Size Calculation When Alpha Power And Effect Size For T Test Are Given Cross Validated from i.stack.imgur.com
As a rough rule of thumb, many statisticians say that a sample size of 30 is large enough. If sample size is less than 30 the . For a test with \alpha = 0.05 and \beta = 0.10, the minimum sample size required for the test is n = (1.645 + 1.282)^2 = 8.567 \approx 9 \,.

We have seen that with large samples 1.96 times the standard error has a probability of 5% or less, and 2.576 times the standard error a probability of 1% or .

For a test with \alpha = 0.05 and \beta = 0.10, the minimum sample size required for the test is n = (1.645 + 1.282)^2 = 8.567 \approx 9 \,. If sample size is 30 or greater it is appropriate to use the t statistic. If you know something about the shape of the sample distribution, you . In statistics it is usual to employ greek letters for population parameters and roman letters for sample statistics.