In a random sample of 300 women, 49% favored stricter gun control legislation. In a random sample of 200 men, 28% favored stricter gun control legislation. Construct a 98% confidence interval for the difference between the population proportions Þ1-Þ2

A survey of 865 voters in one state reveals that 408 favor approval of an issue before the legislature. Construct the 95% confidence interval for the true proportion of all voters in the state who favor approval.

When 319 college students are randomly selected and surveyed, it is found that 120 own a car. Find a 99% confidence interval for the true proportion of all college students who own a car.

The amounts (in ounces) of juice in eight randomly selected juice bottles are: 15.2 15.5 15.9 15.5 15.0 15.7 15.0 15.7 Construct a 98% confidence interval for the mean amount of juice in all such bottles.

The principal randomly selected six students to take an aptitude test. Their scores were: 76.5 85.2 77.9 83.6 71.9 88.6 Determine a 90% confidence interval for the mean score for all students.

A laboratory tested twelve chicken eggs and found that the mean amount of cholesterol was 225 milligrams with s = 15.7 milligrams. Construct a 95% confidence interval for the true mean cholesterol content of all such eggs.

A savings and loan association needs information concerning the checking account balances of its local customers. A random sample of 14 accounts was checked and yielded a mean balance of $664.14 and a standard deviation of $297.29. Find a 98% confidence interval for the true mean checking account balance for local customers.

x1= 22, n1= 38 and x2= 31, n2= 52; Construct a 90% confidence interval for the difference between population proportions Þ1−Þ2.

Two types of flares are tested and their burning times are recorded. The summary statistics are given below. Brand X n1=35 x̄1=19.4 min s1 = 1.4 min Brand Y n2=40 X̅2=15.1 min s2 = 0.8 min Construct a 95% confidence interval for the differences between the mean burning time of the brand X flare and the mean burning time of the brand Y flare.

Independent samples from two different populations yield the following data. x̄1= 236, x̄2= 905, s1=88, s2=13. The sample size is 381 for both samples. Find the 85% confidence interval for µ1−µ2.

A marketing survey involves product recognition in New York and California. Of 558 New Yorkers surveyed, 193 knew the product while 196 out of 614 Californians knew the product. Construct a 99% confidence interval for the difference between the two population proportions.

Use the given degree of confidence and sample data to construct a confidence interval for the population proportion p. n = 51, x = 27;