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Chi-Square Test of Association Scenario 2: Does a person's educational level affect his or her decision about marrying or vice versa? With observational data, we

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Chi-Square Test of Association Scenario 2: Does a person's educational level affect his or her decision about marrying or vice versa? With observational data, we can't know for certain, but we can see whether the data are consistent with or contradict the idea that people's educational level is associated with their decisions about marrying. From the U.S. Census data, we took a random sample of 665 people and measured their marital status and their educational level. Use o = 0.05. SPSS Commands for a Chi-Square Test of Association Test Statistic Calculation based on contingency table analysis: Educational Level Less College or Higher HS HS Divorced 15 59 10 Married 98 240 70 Single 27 58 17 Widow/Widower 3 30 28 Answer the following questions: . A. Hypothesis: Ho: Ha : B. Conditions: . C. Test Statistic value: * = d.f. = P-value (Sig.) = . D. Decision: Fail-to-Reject Ho or Reject Ho (circle/highlight one) . E. Summary statement in APA format: . F. Paste the Chi-Square output table below

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