A Type I error is the result of
A)improper measurement techniques on the part of the researcher.
B)failing to reject the null hypothesis when,in fact,it is true.
C)incorrectly rejecting the null hypothesis.
D)incorrectly failing to reject the null hypothesis.

Question

Quizplus · Accepted Answer

A Type I error occurs when the null hypothesis is incorrectly rejected, meaning that the researcher concludes that there is a significant difference or relationship when in reality there is not. This can happen due to a variety of reasons, such as a small sample size or an error in the statistical analysis. Option A is incorrect because improper measurement techniques would more likely lead to inaccurate data rather than a Type I error. Option B is incorrect because failing to reject the null hypothesis when it is true would be a correct decision. Option D is incorrect because correctly failing to reject the null hypothesis means that there is not enough evidence to support the alternative hypothesis.

A Type I Error Is the Result of