Accommodations Providing During High Stakes Testing Should Mirror Those Provided

question 39

True/False

Accommodations providing during high stakes testing should mirror those provided to students during classroom-based assessments.

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Definitions:

Type I Error

A mistake wherein a true null hypothesis is incorrectly rejected, commonly termed as a "false positive."

Alpha

In statistics, often refers to the significance level used in hypothesis testing, typically set at 0.05 or 0.01, representing the probability of incorrectly rejecting the null hypothesis.

Alpha

In statistics, the threshold of probability at which the null hypothesis is rejected, often set at 0.05 or 5%.

Type I Error

The error that occurs in hypothesis testing when a true null hypothesis is incorrectly rejected, falsely indicating a significant effect or difference.