A case-control (or retrospective) study was conducted to investigate a relationship between the colors of helmets worn by motorcycle drivers and whether they are injured or killed in a crash. Results are given in the accompanying table. Using a 0.05 significance level, test the claim that injuries are independent of helmet color. Color of Helmet Black White Yellow Red Blue Controls (not injured) 469 363 33 152 75 Cases (injured or killed) 203 105 9 62 35 Click here to view the chi-square distribution table.LOADING...
Identify the null and alternative hypotheses.
Choose the correct answer below.
A. Upper H 0: Injuries and helmet color are independent Upper H 1: Injuries and helmet color are dependent
B. Upper H 0: Injuries and helmet color are dependent Upper H 1: Injuries and helmet color are independent
C. Upper H 0: Color of helmet is independent of gender Upper H 1: Color of helmet is dependent on gender
D. Upper H 0: Whether a crash occurs and helmet color are dependent Upper H 1: Whether a crash occurs and helmet color are independent
Compute the test statistic. (Round to three decimal places as needed.)
Find the critical value(s). (Round to three decimal places as needed. Use a comma to separate answers as needed.)
What is the conclusion based on the hypothesis test? Reject Fail to reject Upper H 0. There is is not sufficient evidence to warrant rejection of the claim that injuries are independent of helmet color.
A. H0: Injuries and helmet color are independent
H1: Injuries and helmet color are dependent
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Tabulated Statistics: C1, Worksheet columns
Rows: C1 Columns: Worksheet columns
Black | White | Yellow | Red | Blue | All | |
not injured | 469 | 363 | 33 | 152 | 75 | 1092 |
Expected count(E) | 487.27 | 339.35 | 30.45 | 155.17 | 79.76 | |
injured | 203 | 105 | 9 | 62 | 35 | 414 |
Expected count | 184.73 | 128.65 | 11.55 | 58.83 | 30.24 | |
All | 672 | 468 | 42 | 214 | 110 | 1506 |
Cell Contents
Count
Chi-Square Test
Chi-Square | DF | P-Value | |
Pearson | 10.532 | 4 | 0.0324 |
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Reject Ho
is
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