The contingency table shows the distribution of a random sample of fatal pedestrian motor vehicle collisions by time of day and gender in a recent year. At α = 0.10, can you conclude that time of day and gender are related?

(a) Find the expected frequency for each cell in the contingency table,

(b) Identify the claim and state H₀ and H_a,

(c) Determine the degrees of freedom, find the critical value, and identify the rejection region,

(d) Find the chi-square test statistic,

(e) Decide whether to reject or fail to reject the null hypothesis,

(f) Interpret the decision in the context of the original claim. If convenient, use technology.

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Time of day 12 A.M. 6 A.M12 P.M. 6 P.M.- Gender 5:59 A.M. 11:59 A.M. 5:59 P.M. 11:59 P.M. Male Female 260 591 358 940 514 657 905 585