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Which of the following alternative hypotheses would require using a two-tailed test?


A) Which of the following alternative hypotheses would require using a two-tailed test? A) B) C) D)
B) Which of the following alternative hypotheses would require using a two-tailed test? A) B) C) D)
C) Which of the following alternative hypotheses would require using a two-tailed test? A) B) C) D)
D) Which of the following alternative hypotheses would require using a two-tailed test? A) B) C) D)

E) A) and D)
F) B) and D)

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When can the z-test be used in statistical hypothesis testing?


A) When the measure of central tendency used for the raw scores is the median
B) When the raw scores are transformed from a nominal scale to a ratio scale
C) When the raw score population's standard deviation is known
D) When the z-test standard deviation is known

E) C) and D)
F) A) and B)

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What does alpha always represent in statistical hypothesis testing?


A) The probability of making a correct decision about What does alpha always represent in statistical hypothesis testing? A) The probability of making a correct decision about B) The relative size of the region of rejection C) The critical value D) 0.05
B) The relative size of the region of rejection
C) The critical value
D) 0.05

E) All of the above
F) B) and C)

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B

What happens when the experimental results are nonsignificant?


A) The alternative hypothesis has been accepted.
B) The alternative hypothesis has been rejected.
C) The null hypothesis has been rejected.
D) The null hypothesis has not been rejected.

E) B) and D)
F) A) and B)

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For a one-tailed test where the predicted value of the sample mean is larger than the population mean and = 0.05, For a one-tailed test where the predicted value of the sample mean is larger than the population mean and <font face= symbol ></font> = 0.05, is always equal to A) ±1.645. B) +1.645. C) <font face= symbol ></font>1.645. D) ±1.96. is always equal to


A) ±1.645.
B) +1.645.
C) 1.645.
D) ±1.96.

E) A) and D)
F) B) and C)

Correct Answer

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What does it mean when a computer printout reads "p = 0.03"?


A) The What does it mean when a computer printout reads p = 0.03 ? A) The falls in the extreme 3% of the sampling distribution and the probability of a Type I error is 0.03. B) The falls in the extreme 3% of the sampling distribution and the probability of a Type II error is 0.03. C) The probability of a Type I error (0.03) is smaller than <font face= symbol ></font> (0.05) ,and,therefore,the results are nonsignificant. D) The probability of an error should be reported as p <font face= symbol ></font> 0.01. falls in the extreme 3% of the sampling distribution and the probability of a Type I error is 0.03.
B) The What does it mean when a computer printout reads p = 0.03 ? A) The falls in the extreme 3% of the sampling distribution and the probability of a Type I error is 0.03. B) The falls in the extreme 3% of the sampling distribution and the probability of a Type II error is 0.03. C) The probability of a Type I error (0.03) is smaller than <font face= symbol ></font> (0.05) ,and,therefore,the results are nonsignificant. D) The probability of an error should be reported as p <font face= symbol ></font> 0.01. falls in the extreme 3% of the sampling distribution and the probability of a Type II error is 0.03.
C) The probability of a Type I error (0.03) is smaller than (0.05) ,and,therefore,the results are nonsignificant.
D) The probability of an error should be reported as p 0.01.

E) A) and D)
F) None of the above

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Which of the following tests is considered to be more powerful?


A) A one-tailed test
B) A two-tailed test
C) Neither;they are both equally statistically powerful
D) Which is more powerful depends on the sample size

E) B) and C)
F) A) and D)

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When is a one-tailed test used?


A) When no relationship is predicted
B) When a relationship is predicted and the direction in which the scores will change is predicted
C) When the demonstrated relationship is predicted
D) When a relationship is predicted without stating the direction in which the scores will change

E) None of the above
F) All of the above

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Which of the following assumptions is common to all parametric statistics?


A) There are no common assumptions.
B) The population of dependent scores,regardless of what kind of scores they are,forms a normal distribution.
C) The dependent scores must be interval or ratio scores,regardless of whether the population of scores forms a normal distribution.
D) The population of dependent scores,which must be interval or ratio scores,forms a normal distribution.

E) C) and D)
F) None of the above

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What does the sampling distribution describe?


A) The sample distribution when the null hypothesis is true.
B) The sampling distribution when the null hypothesis is true.
C) The population distribution when the null hypothesis is false.
D) The alternative distribution when the null hypothesis is false.

E) A) and B)
F) A) and D)

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In using a sampling distribution of means for statistical hypothesis testing,the mean of the sampling distribution will always equal


A) the µ described by In using a sampling distribution of means for statistical hypothesis testing,the mean of the sampling distribution will always equal A) the µ described by . B) the µ described by . C) the sample mean. D) 0.0. .
B) the µ described by In using a sampling distribution of means for statistical hypothesis testing,the mean of the sampling distribution will always equal A) the µ described by . B) the µ described by . C) the sample mean. D) 0.0. .
C) the sample mean.
D) 0.0.

E) None of the above
F) A) and B)

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A

For a two-tailed test where = 0.05, For a two-tailed test where <font face= symbol ></font> = 0.05, is always equal to A) <font face= symbol ></font>1.96. B) +1.96. C) ±1.96. D) ±1.645. is always equal to


A) 1.96.
B) +1.96.
C) ±1.96.
D) ±1.645.

E) A) and B)
F) A) and C)

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What happens to the probability of committing a Type I error if the level of significance is changed from = 0.01 to = 0.05?


A) The probability of committing a Type I error will decrease.
B) The probability of committing a Type I error will increase.
C) The probability of committing a Type I error will remain the same.
D) The change in probability will depend on your sample size.

E) A) and B)
F) C) and D)

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In a one-tailed test In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . is significant only if it lies


A) nearer In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . than
In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . and has a different sign from
In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . .
B) in the tail of the distribution beyond In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . and has a different sign from
In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . .
C) nearer In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . than
In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . and has the same sign as
In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . .
D) in the tail of the distribution beyond In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . and has the same sign as
In a one-tailed test is significant only if it lies A) nearer than and has a different sign from . B) in the tail of the distribution beyond and has a different sign from . C) nearer than and has the same sign as . D) in the tail of the distribution beyond and has the same sign as . .

E) A) and B)
F) A) and C)

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D

The null hypothesis describes the


A) sample statistic and the region of rejection.
B) sample statistic if a relationship does not exist in the sample.
C) population parameters represented by the sample data if the predicted relationship exists.
D) population parameters represented by the sample data if the predicted relationship does not exist.

E) B) and D)
F) B) and C)

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Which of the following is called the hypothesis of "no difference"?


A) The null hypothesis
B) The experimental hypothesis
C) The alternative hypothesis
D) The statistical hypothesis

E) C) and D)
F) A) and B)

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According to the null hypothesis,if our According to the null hypothesis,if our appears to represent the predicted relationship,it is because A) the relationship actually exists. B) our sample is invalid. C) something has gone terribly wrong. D) of sampling error. appears to represent the predicted relationship,it is because


A) the relationship actually exists.
B) our sample is invalid.
C) something has gone terribly wrong.
D) of sampling error.

E) A) and C)
F) B) and D)

Correct Answer

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Which of the following is correct regarding the probability of making a Type I error?


A) p =
B) p = (1 )
C) p <
D) p >

E) None of the above
F) C) and D)

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When is a two-tailed test used?


A) When no relationship is predicted
B) When a relationship is predicted and the direction in which the scores will change is predicted
C) When the demonstrated relationship is predicted
D) When a relationship is predicted without stating the direction in which the scores will change

E) A) and B)
F) A) and C)

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Which of the following accurately defines a Type I error?


A) Rejecting Which of the following accurately defines a Type I error? A) Rejecting when is true B) Rejecting when is false C) Retaining when is true D) Retaining when is false when
Which of the following accurately defines a Type I error? A) Rejecting when is true B) Rejecting when is false C) Retaining when is true D) Retaining when is false is true
B) Rejecting Which of the following accurately defines a Type I error? A) Rejecting when is true B) Rejecting when is false C) Retaining when is true D) Retaining when is false when
Which of the following accurately defines a Type I error? A) Rejecting when is true B) Rejecting when is false C) Retaining when is true D) Retaining when is false is false
C) Retaining Which of the following accurately defines a Type I error? A) Rejecting when is true B) Rejecting when is false C) Retaining when is true D) Retaining when is false when
Which of the following accurately defines a Type I error? A) Rejecting when is true B) Rejecting when is false C) Retaining when is true D) Retaining when is false is true
D) Retaining Which of the following accurately defines a Type I error? A) Rejecting when is true B) Rejecting when is false C) Retaining when is true D) Retaining when is false when
Which of the following accurately defines a Type I error? A) Rejecting when is true B) Rejecting when is false C) Retaining when is true D) Retaining when is false is false

E) B) and C)
F) All of the above

Correct Answer

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