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Author Question: A researcher obtains a negative value for a chi-square statistic. What can you conclude because the ... (Read 47 times)

viki

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on: Jun 20, 2018
A researcher obtains a negative value for a chi-square statistic. What can you conclude because the value is negative?
 
  A) The observed frequencies are consistently larger than the expected frequencies.
  B) The expected frequencies are consistently larger than the observed frequencies.
  C) There are large differences between the observed and expected frequencies.
  D) The researcher made a mistake; the value of the chi-square cannot be negative.

Question 2

Why are t statistics more variable than z-scores?
 
  A) The extra variability is caused by variations in the sample mean.
  B) The extra variability is caused by variations in the sample variance.
  C) The extra variability is caused by variations in the df value.
  D) The extra variability is caused by the large sample size.


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macagnavarro

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

D

Answer to Question 2

B


viki

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

alvinum

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Reply 3 on: Yesterday
Wow, this really help

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