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4 characteristics of the chi-square distribution |
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Definition
1. It is not symmetric 2. The shape of the chi-square distribution depends on the degrees of freedom 3. As the number of degrees of freedom increases, the chi-square distribution becomes more symmetric 4. The values of X^2 are nonnegative (>=0) |
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An inferential procedure used to determine whether a frequency distribution follows a specific distribution |
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The expected number of outcomes for each independent observation |
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Observed counts of category i |
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Expected counts of category i |
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Test statistic for goodness-of-fit tests, X^2 = |
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Definition
Summation[(Oi-Ei)^2/Ei] i = 1, 2,…,k |
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2 assumptions for test statistic for goodness-of-fit |
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Definition
1. All expected frequencies are >=1 2. no more than 20% of the expected frequencies are less than 5 |
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All hypothesis tests for goodness-of-fit are |
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Right-tailed test, goodness-of-fit H0: H1: |
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H0: The random variable follows a certain distribution H1: The random variable does not follow a certain distribution |
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Goodness-of-fit test, classical approach X0^2 > Xalpha^2 |
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Goodness-of-fit test, classical approach X0^2 < Xalpha^2 |
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Goodness-of-fit test, p-value approach P-value < alpha |
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Goodness-of-fit test, p-value approach P-value > alpha |
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