4. The chi-square test of independence is used for 2 way tables. Below is a 2 way table with count data on neighborhood

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4. The chi-square test of independence is used for 2 way tables. Below is a 2 way table with count data on neighborhood

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4 The Chi Square Test Of Independence Is Used For 2 Way Tables Below Is A 2 Way Table With Count Data On Neighborhood 1
4 The Chi Square Test Of Independence Is Used For 2 Way Tables Below Is A 2 Way Table With Count Data On Neighborhood 1 (185.27 KiB) Viewed 115 times
4. The chi-square test of independence is used for 2 way tables. Below is a 2 way table with count data on neighborhood spatial perceptions (small/large). Neighborhood Size Lives by a Freeway expected US sample expected Total Small 65 125 190 Large 35 125 160 Sample Size 100 250 350 a) List the null and alternative hypotheses for a test of independence. b) Calculate the expected values for each cell. (row total) x (column total) Expected Count = table total c) Calculate the degrees of freedom for this test df = (R – 1) * (C – 1) d) Conduct a Chi-square test of independence and list the test statistic you calculated. k (0 - E) E i=1 e) List the p-value associated with this test statistic and evaluate your hypotheses. Xaf =
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