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Author Question: In a single-factor analysis of variance, MST is the mean square for treatments and MSE is the mean ... (Read 61 times)

RODY.ELKHALIL

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on: Jun 24, 2018
In a single-factor analysis of variance, MST is the mean square for treatments and MSE is the mean square for error. The null hypothesis of equal population means is rejected if:
 a. MST is much larger than MSE. c. MST is equal to MSE.
  b. MST is much smaller than MSE. d. None of these choices.

Question 2

The mean absolute deviation averages the absolute differences between the actual values of the time series at time t and the forecast values at time:
 a. t + 1
  b. t
  c. t - 1
  d. t - 2


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honnalora

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Reply #1 on: Jun 24, 2018
Answer to Question 1

A

Answer to Question 2

B


RODY.ELKHALIL

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Reply #2 on: Jun 24, 2018
Thank you :)


honnalora

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Reply #3 on: Jun 24, 2018
Happy to help you


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