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Author Question: The difference between the t test and the F test is that a. the t test is used to compare two ... (Read 117 times)

BrownTown3

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on: Jun 19, 2018
The difference between the t test and the F test is that
 
  a. the t test is used to compare two group means, whereas the F test is used to compare any number of means.
  b. the t test is used in calculating the ANOVA, whereas the F test is used in calculating the correlation coefficient.
  c. the t test compares means, whereas the F test compares correlations.
  d. only the t test is used for descriptive analyses.

Question 2

The goal of the ANOVA is to
 
  a. correlate the means of two or more independent variables.
  b. correlate the means of two or more dependent variables.
  c. compare the means on a dependent variable across levels of an independent variable.
  d. compare the means on an independent variable across different levels of a dependent variable.


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missalyssa26

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Reply #1 on: Jun 19, 2018
Answer to Question 1

a

Answer to Question 2

c


BrownTown3

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Reply 2 on: Jun 19, 2018
Excellent

EAN94

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

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