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Exam 9: Significantly Significant: What It Means for You and Me

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Question 41

Multiple Choice

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A Type II error is related to a factor such as ______.

A) a Type III error
B) a Type I error
C) sample size
D) significance

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Question 42

Multiple Choice

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Statistical significance is also known as the risk of ______.

A) a Type II error
B) power
C) a null error
D) a Type I error

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Question 43

Multiple Choice

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How well a statistical test can detect and reject a null hypothesis when it is FALSE refers to ______.

The statistical value that is compared with the calculated value is called the ______.

Inferential statistics is defined as a set of tools that are used to infer the results based on the sample to a population.

How is power calculated?

What is the outcome when a null hypothesis has been rejected and the null hypothesis is TRUE?

If you conclude that your findings yield a 1 in 20 chance that differences were not due to the hypothesized reason,what is the corresponding p value?

If we reject the null hypothesis,it suggests that ______.

If you conclude that your findings yield a 50 in 1,000 chance that differences were not due to the hypothesized reason,what is the corresponding p value?

The term associated with identifying differences between groups that are NOT due to chance is ______.

Why does the researcher never really know the TRUE nature of the null hypothesis?

The concept in a beginning statistics course that causes students the most confusion is ______.

What is the difference between Type I error and Type II error?

What is the definition of the degree of risk you are willing to take that you will reject a null hypothesis when it is actually true?

When conducting a study,researchers should try as much as possible to reduce the likelihood of error by removing all competing reasons for any differences or relationships.

It is possible to have a statistically significant result that is NOT meaningful.

The test statistic value calculated by the statistical procedure selected is known as the ______.