Question
Motor vehicle theft data are provided below, based on three neighborhoods and victim race. Using chi-square and an alpha level of .05, conduct a clearly
Motor vehicle theft data are provided below, based on three neighborhoods and victim race. Using chi-square and an alpha level of .05, conduct a clearly stated five-step hypothesis test, to assess the possible bivariate relationship between neighborhood and victim race. Additional tables are provided to assist you and should be utilized.
Number of Motor Vehicle Thefts Occurring Yearly:
Neighborhood
Victim Race | Citrus | Grove | Heights |
---|---|---|---|
White | 34 | 35 | 20 |
Black | 12 | 36 | 18 |
Hispanic | 8 | 3 | 0 |
Neighborhood
Victim Race | Citrus | Grove | Heights | Row Marginal |
White | 34 | 35 | 20 | |
Black | 12 | 36 | 18 | |
Hispanic | 8 | 3 | 0 | |
Column Marginal |
Step 1: State the H0 and the H1.
Step 2: Identify the distribution and compute the df.
Step 3: Identify the critical value of the test statistic, and state the decision rule.
Step 4: Compute the obtained value of the test statistic. Round all numbers to 2 decimals.
Cell | fo | fe | (fo-fe) | (fo-fe)2 | (fo-fe)2/fe |
White (Citrus) | |||||
White (Grove) | |||||
White (Heights) | |||||
Black (Citrus) | |||||
Black (Grove) | |||||
Black(Heights) | |||||
Hispanic (Citrus) | |||||
Hispanic (Grove) | |||||
Hispanic (Heights) | |||||
Step 5: Conclusion
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