Increasing the Probability of a Type I Error by One

question 17

True/False

Increasing the probability of a Type I error by one percent decreases the probability of a Type II error by one percent.

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Definitions:

Mean

The central or typical value in a distribution, calculated as the sum of all observations divided by the number of observations.

Confidence Interval

A swath of values, taken from statistical analyses of a sample, anticipated to hold within it the value of a not-yet-known population trait.

Standard Error

The standard deviation of the sampling distribution of a statistic, typically the mean.

Mean

The average value of a set of numbers, calculated by dividing the sum of all values by the number of values.