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Author Question: When doing a chi-square and goodness-of-fit test, the squared difference between the observed and ... (Read 125 times)

RYAN BANYAN

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on: Jun 24, 2018
When doing a chi-square and goodness-of-fit test, the squared difference between the observed and theoretical frequencies should be large if a null hypothesis is to be rejected.
 
  Indicate whether the statement is true or false

Question 2

With probability 0.09 the number of successes is less than how many?
 
  What will be an ideal response?


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jointhecircus

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

TRUE

Answer to Question 2

P(X < a  n = 1800, P = 0.40 )  P(X < a   = 720,  = 20.785 ) = 0.09
 PZ < (a  720 ) / 20.875 = 0.09
 (a  720 ) / 20.875 = -1.34
 a = 692.02  692


RYAN BANYAN

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Reply 2 on: Jun 24, 2018
Great answer, keep it coming :)

yeungji

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Reply 3 on: Yesterday
Wow, this really help

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