Question 1

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

Accepted Answer

A)  probability
B)  meaningfulness
C)  significance
D)  statistics

Question 2

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

Accepted Answer

Type I error is the probabilit...

Question 3

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.

Accepted Answer

A) True 
 B)False

Question 4

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

Accepted Answer

A)  Force
B)  Power
C)  Strength
D)  Fortitude

Question 5

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

Accepted Answer

A)  statistics
B)  significance
C)  meaningfulness
D)  probability

Question 6

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

Accepted Answer

A)  The obtained value is more extreme than the critical value.
B)  The obtained value is smaller than the critical value.
C)  The obtained value is the same as the critical value.
D)  There is a difference between the obtained value and the critical value.

Question 7

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?

Accepted Answer

A)  Type I error
B)  chance
C)  Type II error
D)  statistical significance

Question 8

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

Accepted Answer

Because the populati...

Question 9

Statistical significance is also known as the risk of ______.

Accepted Answer

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

Question 10

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

Accepted Answer

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

Question 11

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

Accepted Answer

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

Question 12

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

Accepted Answer

A) True 
 B)False

Question 13

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?

Accepted Answer

A)  0.01
B)  0.05
C)  0.10
D)  0.20

Question 14

How is power calculated?

Accepted Answer

A)  Subtract the value of the Type II error from 1.
B)  Subtract the value of the Type I error from 1.
C)  Subtract 1 from the value of the Type II error.
D)  Subtract 1 from the value of the Type I error.

Question 15

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

Accepted Answer

A) True 
 B)False

Question 16

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

Accepted Answer

A)  obtained value
B)  test statistic
C)  critical value
D)  comparison value

Question 17

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?

Accepted Answer

A)  0.01
B)  0.05
C)  0.10
D)  0.20

Question 18

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

Accepted Answer

A)  critical value
B)  significance level
C)  observed value
D)  p value

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

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

Correct Answer
verified

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

Correct Answer
verified

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

Correct Answer
verified

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

Correct Answer
verified
Because the populati...
View Answer

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.

Correct Answer
verified

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?

Correct Answer
verified

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?

Correct Answer
verified

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

Correct Answer
verified

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

Correct Answer
verified
Type I error is the probabilit...
View Answer

How is power calculated?

Correct Answer
verified

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

Correct Answer
verified

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

Correct Answer
verified

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?

Correct Answer
verified

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

Correct Answer
verified

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

Correct Answer
verified

Statistical significance is also known as the risk of ______.

Correct Answer
verified

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

Correct Answer
verified

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

Correct Answer
verified

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

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

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedBecause the populati...View AnswerShow Answer

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.

Correct AnswerverifiedShow Answer

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?

Correct AnswerverifiedShow Answer

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?

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedType I error is the probabilit...View AnswerShow Answer

How is power calculated?

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

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?

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

Statistical significance is also known as the risk of ______.

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

Correct Answer
verified

Correct Answer
verified

Correct Answer
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Correct Answer
verified
Because the populati...
View Answer

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified
Type I error is the probabilit...
View Answer

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
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Correct Answer
verified

Correct Answer
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