A child dying from an accidental poisoning is a terrible incident. Is it more likely that a male child will get into poison than a female child? To find this out, data was collected that showed that out of 1830 children between the ages of one and four who pass away from poisoning, 1031 were males and 799 were females. Compute at 99% confidence interval for the difference in proportions of poisoning deaths of male and female children ages one to four.

1) Enter the level of significance a used for this test

2) Let p1 = proportion of male children dying of poisoning

Let p2 = proportion of female children dying of poisoning

Determine p1 and p2

3) Determine z score corresponding to desired confidence level

4) Determine error bound of the proportion

5) determine the confidence interval

6) using the confidence interval, select the description of the result of the survey

a) We estimate with 99% confidence that the true mean population of male children dying of poisioning is anywhere from 8.17% to 17.19% less than the proportion of female children dying of poisoning

b) We estimate with 99% confidence that the true proportion of male children dying of poisoning is anywhere from 8.17% to 17.19% less than the proportion of female children dying of poisoning

c) We estimate with 99% confidence that the true proportion of male children dying of poisoning is anywhere from 8.17% to 17.19% higher than the proportion of female children dying of poisoning

d) we estimate with 99% confidence that the true mean population of male children dying of poisoning is anywhere from 8.17% to 17.19% higher than the priportion of female children dying of poisoning