Chapter 25: Chi-Square Tests for Goodness-of-Fit Flashcards

(11 cards)

1
Q

Chi-Square Statistic (χ²)

A

Σ(Observed-Expected)^2/Expected

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2
Q

Chi-Square Degrees Of Freedom

A

df=number of categories-1

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3
Q

Chi-Square Distribution

A
  1. Only nonegative
  2. Right skew (less pronounced as df increases)
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4
Q

χ²GOF-Test Hypotheses

A

H0: “The distribution of [context] is the same across all [groups in context].”
Ha: “The distribution of [context] is not the same across all [groups in context].”

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5
Q

χ²GOF-Test Conditions

A
  1. Random sample
  2. Sample≤10% of pop.
  3. All expected counts>5
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6
Q

χ²GOF-Test p-value Interpretation

A

“Assuming the proportions of [a single categorical variable as stated in the null hypothesis] are true, there is a [p-value] probability of getting a chi-square statistic as extreme as the one in the study or more extreme, by chance alone.”

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7
Q

χ²GOF-Test On Calculator

A

Observed: List on L1
Expected: List on L2
df: degrees of freedom

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8
Q

χ²-Test (Homogeneity) Hypotheses

A

H0: “There is no difference in the distribution of [categorical variable in context] across populations or treatments.”
Ha: “There is a difference in the distribution of [categorical variable in context] across populations or treatments.”

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9
Q

χ²-Test (Independence)

A

H0: “There is no association between [categorical variable in context] and [other categorical variable in context] in a given population.”
Ha: “There is an association between [categorical variable in context] and [other categorical variable in context] in a given population.”

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10
Q

χ²-Test (Homogeneity & Independence)

A
  1. Stratified random sample (homogeneity) or single random sample (independence)
  2. Sample size ≤ 10% of pop.
  3. All expected counts>5
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11
Q

χ²-Test On Calculator

A

Observed: Data on matrix [A]
Expected: Will fill in data on matrix [B] as long as it is empty

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