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sohail gillani
on Oct 11, 2024

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In 2009,the average final exam score for students in an introductory math course was 75%.Five years later,a teacher wants to perform a hypothesis test to determine whether the average score of students the course has changed from the 2009 mean of 75%.The hypotheses are: H0: μ = 75%
HA: μ ≠ 75%
Explain the result of a Type II error.

A) The teacher will conclude that the average final exam score in the course has decreased when in fact it is the same.
B) The teacher will conclude that the average final exam score in the course has increased when in fact it is the same.
C) The teacher will not conclude that the average final exam score in the course is different when in fact it is different.
D) The teacher will conclude that the average final exam score in the course is different when in fact it is the same.
E) The teacher will conclude that the average final exam score in the course is the same when in fact it is the same.

Type II Error

The error that occurs when the null hypothesis is not rejected when it is actually false, referring to a missed detection of an effect.

Hypothesis Test

A statistical method used to determine if there is enough evidence to reject a null hypothesis in favor of an alternative hypothesis, based on sample data.

Average Final Exam Score

The mean score obtained by averaging the final exam scores of all students in a course or subject.

  • Distinguish between Type I and Type II errors in hypothesis testing.
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Michael StephenOct 18, 2024
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