Performing a Chi-Square Goodness-of-Fit Test In Exercises 7−16, (a) identify the claim and state H0 and Ha, (h) find the critical value and identify the rejection region, (c) find the chi-square test statistic, (d) decide whether to reject or fail to reject the null hypothesis, and (e) interpret the decision in the context of the original claim.
11. Homicides by County A researcher claims that the number of homicide crimes in California by county is uniformly distributed. To lest this claim, you randomly select 1000 homicides from a recent year and record the county in which each happened. The table shows the results. At α = 0.01, test the researcher’s claim. (Adapted from California Department of Justice)
County | Frequency, f |
Alameda | 116 |
Contra Costa | 55 |
Fresno | 57 |
Kern | 62 |
Los Angeles | 101 |
Monterey | 58 |
Orange | 30 |
Riverside | 65 |
County | Frequency, f |
Sacramento | 90 |
San Bernardino | 89 |
San Diego | 45 |
San Francisco | 51 |
San Joaquin | 62 |
Santa Clara | 39 |
Stanislaus | 37 |
Tulare | 43 |
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Elementary Statistics: Picturing the World (7th Edition)
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