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Author Question: Distribution-free tests and parametric tests differ in their null hypotheses in that a. ... (Read 125 times)

JMatthes

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on: Jun 20, 2018
Distribution-free tests and parametric tests differ in their null hypotheses in that
 
  a. distribution-free tests have a less specific null hypothesis.
  b. distribution-free tests make very strong assumptions about the mean.
  c. distribution-free tests don't really have a null hypothesis.
  d. parametric tests have rather loose null hypotheses.

Question 2

Tied scores often present a problem in distribution-free tests. The most common way to deal with them in a Mann-Whitney test is to
 
  a. flip a coin.
  b. use a random number table.
  c. assign tied ranks.
  d. throw out the tied data.


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quynhmickitran

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

A

Answer to Question 2

C


JMatthes

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Reply 2 on: Jun 20, 2018
Great answer, keep it coming :)

ashely1112

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Reply 3 on: Yesterday
:D TYSM

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