Two different simple random samples are drawn from two different populations. The first sample consists of 20 people with 10 having a common attribute. The second sample consists of 2200 people with 1597 of them having the same common attribute. Compare the results from a hypothesis test of p1= p2 ​(with a 0.01 significance​ level) and a 99​% confidence interval estimate of p1− p2.

A retail store is considering adding a new product line to its inventory. The store wants to know whether the new product line will be popular with customers. To determine this, they take a random sample of customers and ask if they would be interested in buying the new product line. Of the 125 people they asked, 70 were interested in this new product line. The manager is interested in creating a 90 % confidence interval regarding the population parameter.

The Martin County Health Department needs to estimate the proportion of all children in the county aged 19-35 months that are completely up to date with all state-recommended immunizations. The Martin County Health Department found that 88% of a random sample of children in the county aged 19-35 months were completely up to date with all state-recommended immunizations. Find three different confidence intervals - one with sample size 228, one with sample size 402, and one with sample size 658. Assume that 88% of the children each sample are completely up to date with all state recommended immunizations. Observe how the sample size affects the margin of error and subsequently the width of each interval. Report confidence interval solutions using interval notation. Report all solutions in percent form, rounded to two decimal places, if necessary. • When n = 228, the margin of error for a 95% confidence interval is given by When n = • When n = When n = 228, a 95% confidence interval is…

Two different simple random samples are drawn from two different populations. The first sample consists of 40 people with 22 having a common attribute. The second sample consists of 1900 people with 1375 of them having the same common attribute.compare results from a hypothesis test of p1-=p2 with a 0.05 significance level and a 95% confidence interval estimate of p1-p2 .

A random sample of 50 households was selected for a telephone survey. The key question asked was, “Do you or any member of your household own a cellular telephone with a built-in camera?  Of the 50 respondents, 35 said “yes“ and 15 said “no. “  Give a 90% confidence interval estimate for the population proportion of households in which a member owns a cellular telephone with a built-in camera. Interpret this confidence interval.

In a two-proportion study, we have p1= 0.682 with a sample size of 49 and p2= 0.612 with a sample size of 54. What would be the standard error in computing a confidence interval for the difference of proportions?

Two different simple random samples are drawn from two different populations. The first sample consists of 20 people with 10 having a common attribute. The second sample consists of 2100 people with 1497 of them having the same common attribute. Compare the results from a hypothesis test of p 1p1equals=p 2p2 ​(with a 0.01 significance​ level) and a 99​% confidence interval estimate of p 1p1minus−p 2p2.