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Author Question: Forecast error: a. takes a positive value when the forecast is too high. b. cannot be negative. ... (Read 106 times)

cabate

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on: Jun 24, 2018
Forecast error:
 a. takes a positive value when the forecast is too high.
  b. cannot be negative.
  c. cannot take a value of zero.
  d. is associated with measuring forecast accuracy.

Question 2

A random sample of 100 rods from a process with a mean of 20 feet produced a sample mean of 20.01 feet and a standard deviation of 0.015 . This difference between the process mean and the sample mean is likely to be:
 a. assignable variation.
  b. special-cause variation.
  c. random variation.
  d. homoscedasticity.
  e. costs of attrition.


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jrpg123456

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

D

Answer to Question 2

C


cabate

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Reply 2 on: Jun 24, 2018
Excellent

Dominic

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

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