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When is a t-test used instead of a z-test?


A) When the population µ is known
B) When the population deals with two samples
C) When the population standard deviation is known
D) When the population standard deviation is unknown

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The Cultural Diversity Task Force sponsored six events last year (e.g. ,Awareness Luncheon) and six events with the same names this year.To see how well the attendance last year correlated with attendance this year,the chairperson ranked the number of people attending each event during each of the two years and calculated a correlation.The chairperson used the Spearman rank-order correlation coefficient The Cultural Diversity Task Force sponsored six events last year (e.g. ,Awareness Luncheon) and six events with the same names this year.To see how well the attendance last year correlated with attendance this year,the chairperson ranked the number of people attending each event during each of the two years and calculated a correlation.The chairperson used the Spearman rank-order correlation coefficient to determine if attendance this year at these events was greater than last year (a positive correlation) .The correlation would have to be bigger than _______ to be significant. A) 0.886 B) 0.829 C) 0.645 D) 0.643 to determine if attendance this year at these events was greater than last year (a positive correlation) .The correlation would have to be bigger than _______ to be "significant."


A) 0.886
B) 0.829
C) 0.645
D) 0.643

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Which of the following assumptions is common to both the z-test and the one-sample t-test?


A) Alpha is selected to be 0.01.
B) The raw score population forms a normal distribution,and the population mean and standard deviation are known.
C) The standard deviation of the raw score population is estimated by Which of the following assumptions is common to both the z-test and the one-sample t-test? A) Alpha is selected to be 0.01. B) The raw score population forms a normal distribution,and the population mean and standard deviation are known. C) The standard deviation of the raw score population is estimated by . D) There is one random sample of interval or ratio scores. .
D) There is one random sample of interval or ratio scores.

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Which of the following is the formula for the Which of the following is the formula for the in a single-sample t-test? A) B) C) D) in a single-sample t-test?


A) Which of the following is the formula for the in a single-sample t-test? A) B) C) D)
B) Which of the following is the formula for the in a single-sample t-test? A) B) C) D)
C) Which of the following is the formula for the in a single-sample t-test? A) B) C) D)
D) Which of the following is the formula for the in a single-sample t-test? A) B) C) D)

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Which of the following is one of the assumptions of a one-sample t-test?


A) The obtained scores are on an ordinal or interval scale.
B) The population standard deviation is estimated by computing Which of the following is one of the assumptions of a one-sample t-test? A) The obtained scores are on an ordinal or interval scale. B) The population standard deviation is estimated by computing . C) The population standard deviation is known. D) The population distribution is skewed. .
C) The population standard deviation is known.
D) The population distribution is skewed.

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The critical value for The critical value for is obtained using A) N,which is the total number of scores in the sample. B) N,which is the number of pairs of scores in the sample. C) df,which equals N <font face= symbol ></font> 1,with N being the number of pairs of scores in the sample. D) df,which equals N <font face= symbol ></font> 2,with N being the number of pairs of scores in the sample. is obtained using


A) N,which is the total number of scores in the sample.
B) N,which is the number of pairs of scores in the sample.
C) df,which equals N 1,with N being the number of pairs of scores in the sample.
D) df,which equals N 2,with N being the number of pairs of scores in the sample.

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What is the difference between Pearson's and Spearman's correlations when performing a hypothesis test?


A) The level of
B) The size of the sample
C) The assumption that the scores must be randomly selected
D) How the respective sampling distributions for each correlation are conceptualized

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Using the data given below,perform a two-tailed t-test to compare the sample mean to Using the data given below,perform a two-tailed t-test to compare the sample mean to .Use . 38 40 41 37 35 38 41 39 34 35 38 42 44 37 A) 2.160 < 2.601,Fail to reject B) 2.601 > 2.160,Reject C) -2.160 > -2.601,Reject D) -2.601 < -2.160,Fail to reject .Use Using the data given below,perform a two-tailed t-test to compare the sample mean to .Use . 38 40 41 37 35 38 41 39 34 35 38 42 44 37 A) 2.160 < 2.601,Fail to reject B) 2.601 > 2.160,Reject C) -2.160 > -2.601,Reject D) -2.601 < -2.160,Fail to reject . 38 40 41 37 35 38 41 39 34 35 38 42 44 37


A) 2.160 < 2.601,Fail to reject Using the data given below,perform a two-tailed t-test to compare the sample mean to .Use . 38 40 41 37 35 38 41 39 34 35 38 42 44 37 A) 2.160 < 2.601,Fail to reject B) 2.601 > 2.160,Reject C) -2.160 > -2.601,Reject D) -2.601 < -2.160,Fail to reject
B) 2.601 > 2.160,Reject Using the data given below,perform a two-tailed t-test to compare the sample mean to .Use . 38 40 41 37 35 38 41 39 34 35 38 42 44 37 A) 2.160 < 2.601,Fail to reject B) 2.601 > 2.160,Reject C) -2.160 > -2.601,Reject D) -2.601 < -2.160,Fail to reject
C) -2.160 > -2.601,Reject Using the data given below,perform a two-tailed t-test to compare the sample mean to .Use . 38 40 41 37 35 38 41 39 34 35 38 42 44 37 A) 2.160 < 2.601,Fail to reject B) 2.601 > 2.160,Reject C) -2.160 > -2.601,Reject D) -2.601 < -2.160,Fail to reject
D) -2.601 < -2.160,Fail to reject Using the data given below,perform a two-tailed t-test to compare the sample mean to .Use . 38 40 41 37 35 38 41 39 34 35 38 42 44 37 A) 2.160 < 2.601,Fail to reject B) 2.601 > 2.160,Reject C) -2.160 > -2.601,Reject D) -2.601 < -2.160,Fail to reject

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Suppose you perform a two-tailed significance test on a correlation between the number of books read for enjoyment and the number of credit hours taken,using 32 participants.Your Suppose you perform a two-tailed significance test on a correlation between the number of books read for enjoyment and the number of credit hours taken,using 32 participants.Your is <font face= symbol ></font>0.15,which is not a significant correlation coefficient.Which of the following is the correct way to report this finding? A) r(32) = <font face= symbol ></font>0.15,p > 0.05 B) r(31) = <font face= symbol ></font>0.15,p > 0.05 C) r(30) = <font face= symbol ></font>0.15,p < 0.05 D) r(30) = <font face= symbol ></font>0.15,p > 0.05 is 0.15,which is not a significant correlation coefficient.Which of the following is the correct way to report this finding?


A) r(32) = 0.15,p > 0.05
B) r(31) = 0.15,p > 0.05
C) r(30) = 0.15,p < 0.05
D) r(30) = 0.15,p > 0.05

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For For ,and ,what is ? A) B) C) D) ,and For ,and ,what is ? A) B) C) D) ,what is For ,and ,what is ? A) B) C) D) ?


A) For ,and ,what is ? A) B) C) D)
B) For ,and ,what is ? A) B) C) D)
C) For ,and ,what is ? A) B) C) D)
D) For ,and ,what is ? A) B) C) D)

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D

For For and _____ and _____ for a one-tailed test with ,and . A) -1.530;2.485 B) -1.530;-2.485 C) -2.485;1.530 D) -2.485;-1.530 and For and _____ and _____ for a one-tailed test with ,and . A) -1.530;2.485 B) -1.530;-2.485 C) -2.485;1.530 D) -2.485;-1.530 For and _____ and _____ for a one-tailed test with ,and . A) -1.530;2.485 B) -1.530;-2.485 C) -2.485;1.530 D) -2.485;-1.530 _____ and For and _____ and _____ for a one-tailed test with ,and . A) -1.530;2.485 B) -1.530;-2.485 C) -2.485;1.530 D) -2.485;-1.530 _____ for a one-tailed test with For and _____ and _____ for a one-tailed test with ,and . A) -1.530;2.485 B) -1.530;-2.485 C) -2.485;1.530 D) -2.485;-1.530 ,and For and _____ and _____ for a one-tailed test with ,and . A) -1.530;2.485 B) -1.530;-2.485 C) -2.485;1.530 D) -2.485;-1.530 .


A) -1.530;2.485
B) -1.530;-2.485
C) -2.485;1.530
D) -2.485;-1.530

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A

What does the shape of any particular sampling distribution of a correlation coefficient depend upon?


A) df
B) µ
C) r
D) What does the shape of any particular sampling distribution of a correlation coefficient depend upon? A) df B) µ C) r D)

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Which of the following would increase the power of a t-test?


A) Changing from 0.05 to 0.01
B) Increasing the variability in the raw scores
C) Changing the sample size from N = 25 to N = 100
D) Changing the sample size from N = 100 to N = 25

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C

For For ,and ,what is ? A) B) C) D) ,and For ,and ,what is ? A) B) C) D) ,what is For ,and ,what is ? A) B) C) D) ?


A) For ,and ,what is ? A) B) C) D)
B) For ,and ,what is ? A) B) C) D)
C) For ,and ,what is ? A) B) C) D)
D) For ,and ,what is ? A) B) C) D)

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In a one-tailed significance test for a correlation predicted to be negative,the null hypothesis is _____ and the alternative hypothesis is _____.


A) In a one-tailed significance test for a correlation predicted to be negative,the null hypothesis is _____ and the alternative hypothesis is _____. A) <font face= symbol ></font> <font face= symbol ></font> 0; <font face= symbol ></font> < 0 B) <font face= symbol ></font> > 0; <font face= symbol ></font> <font face= symbol ></font> 0 C) <font face= symbol ></font> = 0; <font face= symbol ></font> < 0 D) <font face= symbol ></font> > 0; <font face= symbol ></font> < 0  0; In a one-tailed significance test for a correlation predicted to be negative,the null hypothesis is _____ and the alternative hypothesis is _____. A) <font face= symbol ></font> <font face= symbol ></font> 0; <font face= symbol ></font> < 0 B) <font face= symbol ></font> > 0; <font face= symbol ></font> <font face= symbol ></font> 0 C) <font face= symbol ></font> = 0; <font face= symbol ></font> < 0 D) <font face= symbol ></font> > 0; <font face= symbol ></font> < 0  < 0
B) In a one-tailed significance test for a correlation predicted to be negative,the null hypothesis is _____ and the alternative hypothesis is _____. A) <font face= symbol ></font> <font face= symbol ></font> 0; <font face= symbol ></font> < 0 B) <font face= symbol ></font> > 0; <font face= symbol ></font> <font face= symbol ></font> 0 C) <font face= symbol ></font> = 0; <font face= symbol ></font> < 0 D) <font face= symbol ></font> > 0; <font face= symbol ></font> < 0  > 0; In a one-tailed significance test for a correlation predicted to be negative,the null hypothesis is _____ and the alternative hypothesis is _____. A) <font face= symbol ></font> <font face= symbol ></font> 0; <font face= symbol ></font> < 0 B) <font face= symbol ></font> > 0; <font face= symbol ></font> <font face= symbol ></font> 0 C) <font face= symbol ></font> = 0; <font face= symbol ></font> < 0 D) <font face= symbol ></font> > 0; <font face= symbol ></font> < 0  0
C) In a one-tailed significance test for a correlation predicted to be negative,the null hypothesis is _____ and the alternative hypothesis is _____. A) <font face= symbol ></font> <font face= symbol ></font> 0; <font face= symbol ></font> < 0 B) <font face= symbol ></font> > 0; <font face= symbol ></font> <font face= symbol ></font> 0 C) <font face= symbol ></font> = 0; <font face= symbol ></font> < 0 D) <font face= symbol ></font> > 0; <font face= symbol ></font> < 0  = 0; In a one-tailed significance test for a correlation predicted to be negative,the null hypothesis is _____ and the alternative hypothesis is _____. A) <font face= symbol ></font> <font face= symbol ></font> 0; <font face= symbol ></font> < 0 B) <font face= symbol ></font> > 0; <font face= symbol ></font> <font face= symbol ></font> 0 C) <font face= symbol ></font> = 0; <font face= symbol ></font> < 0 D) <font face= symbol ></font> > 0; <font face= symbol ></font> < 0  < 0
D) In a one-tailed significance test for a correlation predicted to be negative,the null hypothesis is _____ and the alternative hypothesis is _____. A) <font face= symbol ></font> <font face= symbol ></font> 0; <font face= symbol ></font> < 0 B) <font face= symbol ></font> > 0; <font face= symbol ></font> <font face= symbol ></font> 0 C) <font face= symbol ></font> = 0; <font face= symbol ></font> < 0 D) <font face= symbol ></font> > 0; <font face= symbol ></font> < 0  > 0; In a one-tailed significance test for a correlation predicted to be negative,the null hypothesis is _____ and the alternative hypothesis is _____. A) <font face= symbol ></font> <font face= symbol ></font> 0; <font face= symbol ></font> < 0 B) <font face= symbol ></font> > 0; <font face= symbol ></font> <font face= symbol ></font> 0 C) <font face= symbol ></font> = 0; <font face= symbol ></font> < 0 D) <font face= symbol ></font> > 0; <font face= symbol ></font> < 0  < 0

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Unless we use the correct Unless we use the correct from the t-distribution for the appropriate N, A) we will fail to reject . B) we will always reject . C) the probability of making a Type I error will increase. D) the probability of making a Type I error will not equal <font face= symbol ></font>. from the t-distribution for the appropriate N,


A) we will fail to reject Unless we use the correct from the t-distribution for the appropriate N, A) we will fail to reject . B) we will always reject . C) the probability of making a Type I error will increase. D) the probability of making a Type I error will not equal <font face= symbol ></font>. .
B) we will always reject Unless we use the correct from the t-distribution for the appropriate N, A) we will fail to reject . B) we will always reject . C) the probability of making a Type I error will increase. D) the probability of making a Type I error will not equal <font face= symbol ></font>. .
C) the probability of making a Type I error will increase.
D) the probability of making a Type I error will not equal .

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A developmental psychologist interested in the development of color perception presented 20 one-month-old infants with a pair of color forms.One form had two colors and the other had one.If the infants preferred to look at the form with two colors above chance level (50%) ,they can perceive colors.The mean percentage of times the infants preferred the two-color form was 53.15 ( A developmental psychologist interested in the development of color perception presented 20 one-month-old infants with a pair of color forms.One form had two colors and the other had one.If the infants preferred to look at the form with two colors above chance level (50%) ,they can perceive colors.The mean percentage of times the infants preferred the two-color form was 53.15 ( ) .What is ? A) 0.83 B) 0.98 C) 3.72 D) 4.39 ) .What is A developmental psychologist interested in the development of color perception presented 20 one-month-old infants with a pair of color forms.One form had two colors and the other had one.If the infants preferred to look at the form with two colors above chance level (50%) ,they can perceive colors.The mean percentage of times the infants preferred the two-color form was 53.15 ( ) .What is ? A) 0.83 B) 0.98 C) 3.72 D) 4.39 ?


A) 0.83
B) 0.98
C) 3.72
D) 4.39

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If we reject the null hypothesis in a significance test of correlation,we conclude that our If we reject the null hypothesis in a significance test of correlation,we conclude that our A) indicates a significant difference between the sample correlation coefficient and the true value of <font face= symbol ></font>. B) says there is a significant difference between the sample mean and the true population mean. C) almost never happens when is really 0. D) represents a equal to 0.


A) indicates a significant difference between the sample correlation coefficient and the true value of .
B) says there is a significant difference between the sample mean and the true population mean.
C) almost never happens when If we reject the null hypothesis in a significance test of correlation,we conclude that our A) indicates a significant difference between the sample correlation coefficient and the true value of <font face= symbol ></font>. B) says there is a significant difference between the sample mean and the true population mean. C) almost never happens when is really 0. D) represents a equal to 0. is really 0.
D) represents a If we reject the null hypothesis in a significance test of correlation,we conclude that our A) indicates a significant difference between the sample correlation coefficient and the true value of <font face= symbol ></font>. B) says there is a significant difference between the sample mean and the true population mean. C) almost never happens when is really 0. D) represents a equal to 0. equal to 0.

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If a researcher reports a one-sample t-test with df = 24,how many individuals participated in this study?


A) 24
B) 25
C) 26
D) Cannot be determined from the information given

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Which of the following statements about the correlation coefficient is true?


A) One should not accept that a correlation coefficient represents a relationship unless it is significant.
B) Unless a correlation coefficient is zero,it represents a relationship.
C) Positive correlation coefficients tend to be significant more often than negative ones.
D) Sampling error does not apply to the correlation coefficient.

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