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The human resources director of a large bank conducts a study to evaluate a particular employment test for possible use in screening prospective applicants for the position of teller. A group of 16 applicants is administered the test, hired, and rated by their supervisors after 6 months on the job. A sample correlation of +.39 is obtained between test scores and supervisors' ratings. Use a significance testing approach to evaluate the sample result ( α\alpha = .05).

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A significant correlation indicates a conclusion that


A) A significant correlation indicates a conclusion that A)    is large B)  r is large C)    is not zero D)  r is not zero is large
B) r is large
C) A significant correlation indicates a conclusion that A)    is large B)  r is large C)    is not zero D)  r is not zero is not zero
D) r is not zero

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Values of r vary more when


A) n is small
B) Values of r vary more when A)  n is small B)    is low C)  n is small and   is low D)  n is small and   is high is low
C) n is small and Values of r vary more when A)  n is small B)    is low C)  n is small and   is low D)  n is small and   is high is low
D) n is small and Values of r vary more when A)  n is small B)    is low C)  n is small and   is low D)  n is small and   is high is high

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When When    , the sampling distribution of r is A)  skewed negatively B)  skewed positively C)  symmetrical D)  normal when  , the sampling distribution of r is


A) skewed negatively
B) skewed positively
C) symmetrical
D) normal when When    , the sampling distribution of r is A)  skewed negatively B)  skewed positively C)  symmetrical D)  normal when

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If we want to know whether a test is predictive of success according to a given performance criterion, we can be certain that it is to some degree if r between these two variables is


A) +.25
B) +.50
C) +.75
D) without knowledge of n, we cannot be certain in any of these circumstances

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    is to the sampling distribution of r as ____________ is to the sampling distribution of the mean. A)    B)    C)    D)   is to the sampling distribution of r as ____________ is to the sampling distribution of the mean.


A)     is to the sampling distribution of r as ____________ is to the sampling distribution of the mean. A)    B)    C)    D)
B)     is to the sampling distribution of r as ____________ is to the sampling distribution of the mean. A)    B)    C)    D)
C)     is to the sampling distribution of r as ____________ is to the sampling distribution of the mean. A)    B)    C)    D)
D)     is to the sampling distribution of r as ____________ is to the sampling distribution of the mean. A)    B)    C)    D)

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The test of a hypothesis about correlation coefficients is probably most frequently used to inquire whether


A) The test of a hypothesis about correlation coefficients is probably most frequently used to inquire whether A)    is zero  B)    is some specified value other than zero  C)  there is a difference between   's obtained from independent samples  D)  there is a difference between   's obtained from dependent samples is zero

B) The test of a hypothesis about correlation coefficients is probably most frequently used to inquire whether A)    is zero  B)    is some specified value other than zero  C)  there is a difference between   's obtained from independent samples  D)  there is a difference between   's obtained from dependent samples is some specified value other than zero

C) there is a difference between The test of a hypothesis about correlation coefficients is probably most frequently used to inquire whether A)    is zero  B)    is some specified value other than zero  C)  there is a difference between   's obtained from independent samples  D)  there is a difference between   's obtained from dependent samples 's obtained from independent samples

D) there is a difference between The test of a hypothesis about correlation coefficients is probably most frequently used to inquire whether A)    is zero  B)    is some specified value other than zero  C)  there is a difference between   's obtained from independent samples  D)  there is a difference between   's obtained from dependent samples 's obtained from dependent samples

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We can be fairly sure that We can be fairly sure that    is very small in which of the following cases? A)  significant r,   B)  nonsignificant r,   C)  nonsignificant r,   D)  none of the above is very small in which of the following cases?


A) significant r, We can be fairly sure that    is very small in which of the following cases? A)  significant r,   B)  nonsignificant r,   C)  nonsignificant r,   D)  none of the above
B) nonsignificant r, We can be fairly sure that    is very small in which of the following cases? A)  significant r,   B)  nonsignificant r,   C)  nonsignificant r,   D)  none of the above
C) nonsignificant r, We can be fairly sure that    is very small in which of the following cases? A)  significant r,   B)  nonsignificant r,   C)  nonsignificant r,   D)  none of the above
D) none of the above

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When n is very large, we may find that


A) the standard error of the sampling distribution cannot be determined
B) large values of r may suggest that we should retain the hypothesis that When n is very large, we may find that A)  the standard error of the sampling distribution cannot be determined B)  large values of r may suggest that we should retain the hypothesis that   when it is false C)  the sampling distribution departs substantially from a normal distribution D)  the correlation coefficient is shown to be significantly different from zero when in fact the true value of   is not importantly different from zero when it is false
C) the sampling distribution departs substantially from a normal distribution
D) the correlation coefficient is shown to be significantly different from zero when in fact the true value of When n is very large, we may find that A)  the standard error of the sampling distribution cannot be determined B)  large values of r may suggest that we should retain the hypothesis that   when it is false C)  the sampling distribution departs substantially from a normal distribution D)  the correlation coefficient is shown to be significantly different from zero when in fact the true value of   is not importantly different from zero is not importantly different from zero

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D

The problem that makes the inference about correlation coefficients somewhat less straightforward than inference about means is that the sampling distribution of r


A) has an unknown mean
B) has an unknown standard deviation
C) varies in shape according to circumstance
D) is bimodal because r can be negative as well as positive

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C

You read in a review article: "Milhous (1979) found a significant positive correlation between peer ratings of self-confidence and scores on the Milhous Self Confidence Scale for a large sample of college sorority members." (a)How might such a statement be misinterpreted by the statistically unsophisticated reader (b)What does the statement really mean? Be precise in your answer. Use appropriate symbols and statistical terminology (c)What single piece of additional information would be most necessary to an adequate interpretation of Milhous' results?

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(a)Misinterpreted as a large o...

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For each of the following cases, give the size of the sample r required for statistical significance: (a) For each of the following cases, give the size of the sample r required for statistical significance: (a)    one-tailed test;  (b)      two-tailed test; (c)     two-tailed test; (d)     two-tailed test;  (e)     one-tailed test. one-tailed test; (b) For each of the following cases, give the size of the sample r required for statistical significance: (a)    one-tailed test;  (b)      two-tailed test; (c)     two-tailed test; (d)     two-tailed test;  (e)     one-tailed test. two-tailed test; (c) For each of the following cases, give the size of the sample r required for statistical significance: (a)    one-tailed test;  (b)      two-tailed test; (c)     two-tailed test; (d)     two-tailed test;  (e)     one-tailed test. two-tailed test; (d) For each of the following cases, give the size of the sample r required for statistical significance: (a)    one-tailed test;  (b)      two-tailed test; (c)     two-tailed test; (d)     two-tailed test;  (e)     one-tailed test. two-tailed test; (e) For each of the following cases, give the size of the sample r required for statistical significance: (a)    one-tailed test;  (b)      two-tailed test; (c)     two-tailed test; (d)     two-tailed test;  (e)     one-tailed test. one-tailed test.

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(a).805
(b...

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The purpose of the The purpose of the    transformation is to correct for A)  an unknown mean of the sampling distribution of r B)  an unknown standard deviation of the sampling distribution of r C)  varying shape of the sampling distribution of r D)  differing values of n transformation is to correct for


A) an unknown mean of the sampling distribution of r
B) an unknown standard deviation of the sampling distribution of r
C) varying shape of the sampling distribution of r
D) differing values of n

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The standard error of The standard error of    is A)    B)    C)    D)   is


A) The standard error of    is A)    B)    C)    D)
B)
The standard error of    is A)    B)    C)    D)
C) The standard error of    is A)    B)    C)    D)
D) The standard error of    is A)    B)    C)    D)

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If the If the    transformation is used to evaluate inference about correlation coefficients, the referent distribution is A)  the normal distribution B)  Student's distribution of t C)  dependent on the number of degrees of freedom D)  a rectangular distribution transformation is used to evaluate inference about correlation coefficients, the referent distribution is


A) the normal distribution
B) Student's distribution of t
C) dependent on the number of degrees of freedom
D) a rectangular distribution

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The sampling distribution of r is most nearly normal when The sampling distribution of r is most nearly normal when     is A)  positive B)  negative C)  near ±1.00 D)  near zero is


A) positive
B) negative
C) near ±1.00
D) near zero

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The The    transformation yields values of       for corresponding values of r which are A)  increasingly larger than r as r becomes larger B)  increasingly smaller than r as r becomes larger C)  proportionately larger than r D)  proportionately smaller than r transformation yields values of The    transformation yields values of       for corresponding values of r which are A)  increasingly larger than r as r becomes larger B)  increasingly smaller than r as r becomes larger C)  proportionately larger than r D)  proportionately smaller than r for corresponding values of r which are


A) increasingly larger than r as r becomes larger
B) increasingly smaller than r as r becomes larger
C) proportionately larger than r
D) proportionately smaller than r

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A

In which of the following cases could the sample r have been any value over a range from rather small to quite large?


A) significant r, In which of the following cases could the sample r have been any value over a range from rather small to quite large? A)  significant r,   B)  significant r,   C)  nonsignificant r,   D)  any of the above
B) significant r, In which of the following cases could the sample r have been any value over a range from rather small to quite large? A)  significant r,   B)  significant r,   C)  nonsignificant r,   D)  any of the above
C) nonsignificant r, In which of the following cases could the sample r have been any value over a range from rather small to quite large? A)  significant r,   B)  significant r,   C)  nonsignificant r,   D)  any of the above
D) any of the above

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A nonsignificant correlation is obtained for a random sample of 6 cases. From this we can infer that


A) A nonsignificant correlation is obtained for a random sample of 6 cases. From this we can infer that A)    B)    is very small C)    does not differ by an important amount from 0 D)  none of the above
B) A nonsignificant correlation is obtained for a random sample of 6 cases. From this we can infer that A)    B)    is very small C)    does not differ by an important amount from 0 D)  none of the above is very small
C) A nonsignificant correlation is obtained for a random sample of 6 cases. From this we can infer that A)    B)    is very small C)    does not differ by an important amount from 0 D)  none of the above does not differ by an important amount from 0
D) none of the above

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To test the hypothesis that To test the hypothesis that     we need to remember that the number of degrees of freedom is A)  n B)    C)    D)   we need to remember that the number of degrees of freedom is


A) n
B) To test the hypothesis that     we need to remember that the number of degrees of freedom is A)  n B)    C)    D)
C) To test the hypothesis that     we need to remember that the number of degrees of freedom is A)  n B)    C)    D)
D) To test the hypothesis that     we need to remember that the number of degrees of freedom is A)  n B)    C)    D)

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