The contingency table shows the results of a random sample of fatally injured passenger vehicle drivers (with blood alcohol concentrations greater than or equal to 0.08) by age and gender. At alpha equals 0.10, can you conclude that age is related to gender in such alcohol-related accidents? Perform the chi-square independence test by completing parts (a) through (e) below. Gender 16-20 21-30 31-40 41-50 51-60 61 and older Male 43 153 85 73 52 33 Female 10 34 21 20 10 10 Calculate the test statistic. chi squaredequals 1.30 (Round to two decimal places as needed.) Part 7 (d) Decide whether to reject or fail to reject the null hypothesis. The P-value is 0.935. (Round to three decimal places as needed.) Part 8 Fail to reject Upper H 0 because the P-value is greater than the level of significance. Part 9 (e) Interpret the decision in the context of the original claim. There is is not enough evidence at the 10% level of significance to reject support the claim that in such alcohol-related accidents, age is the same as expected. is dependent on gender. differs from the expected. is uniformly distributed. is independent of gender