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Author Question: The SS, sum of squares, is equal to a. the sum of the squared scores b. the sum of the scores, ... (Read 37 times)

tuffie

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on: Jun 20, 2018
The SS, sum of squares, is equal to
 
  a. the sum of the squared scores
  b. the sum of the scores, squared
  c. the sum of the squared deviations of all the scores from the mean
  d. the sum of the squared deviations of all the scores from the mean, divided
   by the degrees of freedom

Question 2

The only time the variance becomes equal to the standard deviation is when
 
  a. the variance is small
  b. the variance is large
  c. the variance is eliminated
  d. the variance is equal to 1.00 or zero


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vickyvicksss

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

c

Answer to Question 2

d


tuffie

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Reply 2 on: Jun 20, 2018
:D TYSM

Bigfoot1984

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Reply 3 on: Yesterday
Gracias!

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