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ilovephysics ilovephysics
wrote...
Posts: 518
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6 years ago
The rank correlation coefficient is used when one is:
 a. correlating quantitative data
  b. correlating rankings of individual values for two variables
  c. analyzing data which are assumed to be linearly related
  d. not interested in drawing inferences from the study
  e. analyzing data which are assumed to be non-linearly related

Q. 2

The Spearman rank correlation coefficient is calculated by first ranking the data values, and then calculating the Pearson correlation coefficient of the ranks.
  Indicate whether the statement is true or false

Q. 3

The Spearman rank-correlation is a nonparametric test that 1) uses the directions of differences observed in a matched-pairs sample to determine whether the relative frequency distributions of two statistical populations are identical to or different from one another and 2) determines whether a sample comes from a population with a specified median.
  Indicate whether the statement is true or false

Q. 4

The Spearman rank-correlation test is a nonparametric test that uses the directions of differences observed in a matched-pairs sample to determine whether the relative frequency distributions of two statistical populations are identical to or different from one another.
  Indicate whether the statement is true or false

Q. 5

To apply the Friedman test to determine whether the locations of two or more populations are the same, the samples must be:
 a. from matched pairs experiment
  b. from normal populations
  c. independent
  d. larger than 20
  e. from matched pairs experiment and from normal populations

Q. 6

The Friedman test are always:
 a. one-tail
  b. two-tail
  c. used with one sample
  d. used when the populations are normally distributed
  e. used all the time
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Replies
wrote...
6 years ago
Answer to #1

B

Answer to #2

T

Answer to #3

F

Answer to #4

F

Answer to #5

A

Answer to #6

A
ilovephysics Author
wrote...
6 years ago
Mind blown, I've bookmarked this site on told my friends
wrote...
6 years ago
Really appreciate that
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