14 - Chi Square Flashcards

1
Q

Chi square

A
  • Non parametric
  • nominal data
  • observations can be classified into discrete categories and treated as frequencies
  • categories should be mutually exclusive
  • the more categories the larger the sample
  • 2-tailed (sensitive to difference but not to the direction of difference)
  1. Goodness-of-fit test
  2. Cross tabulation between two categories
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2
Q

Chi square formula

A

Somme (observed - expected)^2/expected

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3
Q

Goodness of fit test

A
  • Chi square
  • H0 = normal distribution of variables and uniform (equally split)
  • degrees of freedom = nb categories - 1
  • effect size = chi square / (total sample size)(degrees of freedom)
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4
Q

Cross-tabulation test

A
  • Contingency tables : 2x2 (2 variables divided into 2 categories)
  • expected frequencies= (row tot * column tot)/tottot
  • df = (row-1)*(colum -1)
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5
Q

Chi square = 0

A

No difference between O and E frequencies

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