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Learn how to choose the number of observations or replicates to include in a statistical sample. Find out the factors that affect sample size, such as confidence level, margin of error, and variability, and see examples of sample size formulas for different scenarios.
Learn how to calculate the standard error of a statistic, such as the sample mean, from a sample or a population. Find formulas, examples, and applications in ...
A Student's t-test is a statistical test to compare the means of two groups and see if they are significantly different. It is based on the t-distribution, which depends on the sample size and the variance of the populations. Learn about the history, types and uses of the t-test.
Power is a measure of the ability of a statistical test to detect a true effect. Learn how to calculate power, why it is important, and how it relates to significance, sample size, and effect size.
Learn about Fisher's exact test, a statistical significance test for contingency tables. Find out how to calculate the test statistic, the p-value, and the sample size for a 2 x 2 table.
It can be used in calculating the sample size for a future study. When measuring differences between proportions, Cohen's h can be used in conjunction with hypothesis testing . A " statistically significant " difference between two proportions is understood to mean that, given the data, it is likely that there is a difference in the population ...
Design effect is a measure of how well a sample represents a larger group for a specific parameter. It is the ratio of the variance of an estimator based on a complex sampling design to the variance of an estimator based on simple random sampling.
Learn how to calculate and interpret the margin of error in surveys and polls. Find out how sample size, confidence level, standard deviation, and population size ...