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Author Question: How do you compute the df value for the chi-square test for independence? A) df = n - 1 B) df = ... (Read 69 times)

urbanoutfitters

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on: Jun 20, 2018
How do you compute the df value for the chi-square test for independence?
 
  A) df = n - 1
  B) df = n - 2
  C) df = n - C
  D) df = (R-1)(C-1)

Question 2

If other factors are held constant, what is the effect of increasing the sample variance?
 
  A) It will increase the estimated standard error and increase the likelihood of rejecting H0.
  B) It will increase the estimated standard error and decrease the likelihood of rejecting H0.
  C) It will decrease the estimated standard error and increase the likelihood of rejecting H0.
  D) It will decrease the estimated standard error and decrease the likelihood of rejecting H0.


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Jadwiga9

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Reply #1 on: Jun 20, 2018
Answer to Question 1

D

Answer to Question 2

B


urbanoutfitters

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Reply 2 on: Jun 20, 2018
Thanks for the timely response, appreciate it

peter

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Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

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