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, and 

(f ) Interpret the decision in the context of the original claim.

Time of day 6 A.M.- 11:59 A.M. 12 .. 12 A.M.- 5:59 A.M. 6 P.M.- 11:59 p.M. Gender 5:59 P.M. 595 Male Female 611 884 563 911 354 260 552