Question

1. 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, n=10,000 B. significant r, n=10 C. nonsignificant r, n=10,000 D. any of the above A significant correlation indicates a conclusion that A. r is large B. P is not zero C. P is large D. r is not zero A nonsignificant correlation is obtained for a random sample of 6 cases. From this we can infer that A. P=0 (rho = 0) B. P is very small C. P does not differ by an important amount from 0 D. none of the above If the Z' transformation is used to evaluate inference about correlation coefficients, the referent distribution is A. a rectangular distribution B. dependent on the number of degrees of freedom C. Student's distribution of t D. the normal distribution The problem that makes the inference about correlation coefficients somewhat less straight-forward than inference about means is that the sampling distribution of r A. has an unknown mean B. varies in shape according to circumstance C. has an unknown standard deviation D. is bimodal because r can be negative as well as positive The Z' transformation yields values of Z' for corresponding values of r which are A. increasingly larger than r as r becomes larger B. proportionately smaller than r C. increasingly smaller than r as r becomes larger D. proportionately larger than r 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. +.75 B. +.25 C. without knowledge of n, we cannot be certain in any of these circumstances D. +.50 Fisher's Z' is A. a kind of z score B. a kind of standard score C. a kind of normalized standard score D. none of the above Which procedure, if any, does not require the assumption of a normal bivariate distribution? A. t test of the hypothesis of no correlation B. estimation of the population correlation coefficient C. Z' test of the hypothesis of no difference between two correlation coefficients D. the assumption is required for all of the above

          1. 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, n=10,000
   B.  significant r, n=10
   C.  nonsignificant r, n=10,000
   D.  any of the above
A significant correlation indicates a conclusion that
   A.  r is large
   B.  P is not zero
  C.   P is large
  D.   r is not zero
A nonsignificant correlation is obtained for a random sample of
6 cases. From this we can infer that
   A.  P=0 (rho = 0)
   B.  P is very small
   C. P does not differ by an important amount from
0
   D.  none of the above
If the Z' transformation is used to evaluate inference about
correlation coefficients, the referent distribution is
    A. a rectangular distribution
   B.  dependent on the number of degrees of
freedom
   C.  Student's distribution of t
   D.  the normal distribution
The problem that makes the inference about correlation
coefficients somewhat less straight-forward than inference about
means is that the sampling distribution of r
    A. has an unknown mean
    B. varies in shape according to circumstance
    C. has an unknown standard deviation
    D. is bimodal because r can be negative as well as
positive
The Z' transformation yields values of Z' for corresponding
values of r which are
  A.  increasingly larger than r as r becomes
larger
  B.  proportionately smaller than r
  C.   increasingly smaller than r as r becomes
larger
  D.   proportionately larger than r
 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.   +.75
     B.  +.25
     C. without knowledge of n, we cannot be
certain in any of these circumstances
     D. +.50
 Fisher's Z' is
    A.  a kind of z score
    B.  a kind of standard score
    C.  a kind of normalized standard score
    D.  none of the above
 Which procedure, if any, does not require the assumption
of a normal bivariate distribution?
   A.  t test of the hypothesis of no
correlation
   B. estimation of the population correlation
coefficient
   C.  Z' test of the hypothesis of no difference
between two correlation coefficients
   D.  the assumption is required for all of the
above

Added by Kim M.

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