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Author Question: Which of the following are reasons for why simple random sampling is used infrequently in real ... (Read 101 times)

mydiamond

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on: Jun 24, 2018
Which of the following are reasons for why simple random sampling is used infrequently in real applications?
 a. Samples can be spread over a large geographic region.
  b. Simple random sampling requires that all sampling units be identified prior to sampling.
  c. Simple random sampling can result in underrepresentation or overrepresentation of certain segments of the population.
  d. All of these choices are valid reasons.

Question 2

A confidence interval constructed around a point prediction from a regression model is called a prediction interval, because the actual point being estimated is not a population parameter.
 a. True
  b. False
   Indicate whether the statement is true or false


catron30

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

d

Answer to Question 2

TRUE


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