When testing a hypothesis involving population proportions, an increase in sample size will result in a smaller chance of making a Type I statistical error.

Name: When testing a hypothesis involving population proportions, an increase in sample size will result in a smaller chance of making a Type I statistical error.
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Type I error (α) is predetermined by the significance level chosen for the test, not affected by sample size. Increasing sample size can reduce Type II error and increase test power.

When Testing a Hypothesis Involving Population Proportions, an Increase in Sample