Chi-square tests are used to test relationships between categorical or ordinal values - to determine if there is a statistically significant difference between the expected and observed frequencies in...


Chi-square tests are used to test relationships between categorical or ordinal values - to determine if there is a<br>statistically significant difference between the expected and observed frequencies in one or more categories.<br>Choose the correct hypothesis to test one sample with categorical or ordinal outcomes - or a chi-square<br>goodness-of-fit test.<br>O HO: p1 = p10, p2 = p20,.pk = pk0 H1: HO is false (where p = proportion of participants in a specific category)<br>%3D<br>O HO: m1 = m2 H1: m1 > m2, m1< m2, or m1 m2 ( m - mean)<br>%3D<br>O HO: md = 0 H1: md + 0 (m = mean)<br>O HO: p1 = p2 H1: p1 >p2, p1< p2, p1 p2<br>O HO: m1 = m2 = m3 ... = mk H1: Means are not all equal (m = mean)<br>

Extracted text: Chi-square tests are used to test relationships between categorical or ordinal values - to determine if there is a statistically significant difference between the expected and observed frequencies in one or more categories. Choose the correct hypothesis to test one sample with categorical or ordinal outcomes - or a chi-square goodness-of-fit test. O HO: p1 = p10, p2 = p20,.pk = pk0 H1: HO is false (where p = proportion of participants in a specific category) %3D O HO: m1 = m2 H1: m1 > m2, m1< m2,="" or="" m1="" m2="" (="" m="" -="" mean)="" %3d="" o="" ho:="" md="0" h1:="" md="" +="" 0="" (m="mean)" o="" ho:="" p1="p2" h1:="" p1="">p2, p1< p2,="" p1="" p2="" o="" ho:="" m1="m2" =="" m3="" ...="mk" h1:="" means="" are="" not="" all="" equal="" (m="">

Jun 06, 2022
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