When we construct a confidence interval estimate of the difference between population proportions (p1-p2), if the confidence interval does not include 0, what can we conclude? a) We can conclude that p1 is significantly larger than p2. b) We can conclude that p1 is significantly smaller than p2. c) We can conclude that p1 and p2 are not significantly different d) We can conclude that p1 and p2 are significantly different

Suppose a new treatment for a certain disease is given to a sample of 180 patients. The treatment was successful for 153of the patients. Assume that these patients are representative of the population of individuals who have this disease. Calculate a 98% confidence interval for the proportion successfully treated. (Round the answers to three decimal places.)

Which of the following is the BEST interpretation of the 97% one-sample confidence interval?    If we consider all possible 97% one-sample confidence intervals arising from all possible samples of places in Florida, then 97% of those intervals should contain the average rainfall amount for all places in Florida.            If we consider all possible 97% one-sample confidence intervals arising from all possible samples of size 12, then all of those intervals should contain the average rainfall amount for all places in Florida.            If we consider all possible 97% one-sample confidence intervals arising from all possible samples of size 12, then 97% of those intervals should contain the average rainfall amount for all places in Florida.            If we consider all possible places in Florida, then 97% of those places should have the average rainfall amount for Florida.            If we consider all possible one-sample confidence intervals arising from all possible…

A genetic experiment with peas resulted in one sample of offspring that consisted of 447 green peas and 169 yellow peas. a. Construct a 95​% confidence interval to estimate of the percentage of yellow peas. b. Based on the confidence​ interval, do the results of the experiment appear to contradict the expectation that​ 25% of the offspring peas would be​ yellow?

you conducted additional studies with these men and found the following: a. The RR for those who drank one drink per day was 1.50 (95% CI:1.32-1.67) in comparison to the abstainers. b. For those men who drank three or more drinks per day the RR compared to the abstainers was 4.20 (95% CI 2.68-5.85).  Question:  We can tell from the Confidence Intervals provided in #7 whether there are likely more people in the “one drink a day” group or the “3+ drinks per day” group. Which one likely has more people and how can we tell?

A graduate Statistic Student wants to estimate the true proportion of county college ("c.c.") students in here state who go on to receive an Associate Degree (AD ), She is able to take a random sample of n = 100 of those c.c. stuents, and 64 of those students received an AD. Find her 90% confidence interval for the true proportion of c.c. students in her state that receive an AD. Be sure to either i)Use full calculator syntax including proper label on your output or i)write down the formula, plug in the appropriate nun bers, and then give the calculated interval including a proper label. 1-prop-Z Int x: 64,n: 100, Clevel.90, interval (.56105,.71895 b. 1-prop-Z Int x: 64,n: 100, Clevel .90, interval (.66105,.71896 1-prop-Z Int x: 64,n: 100, Clevel .90, interval (.51105,.70950 1-prop-Z Int x: 64,n: 100, Clevel .90, interval (.61105,.81105 by C.

A genetic experiment with peas resulted in one sample of offspring that consisted of 442 green peas and 156 yellow peas.  a. Construct a 95​% confidence interval to estimate of the percentage of yellow peas. b. It was expected that​ 25% of the offspring peas would be yellow. Given that the percentage of offspring yellow peas is not​ 25%, do the results contradict​expectations?

A professor sampled 46 students from a large university to obtain a 95% confidence interval for the proportion of students in favor of raising ASB fees. The interval was (0.356, 0.397). If the professor had used a 90% confidence interval instead, the confidence interval would have been ... A) Wider and would have a smaller chance of missing the true proportion. B) Narrower and would have a larger chance of missing the true proportion. C) Narrower and would have a smaller chance of missing the true proportion. D) Wider and would have a larger chance of missing the true proportion.

A genetic experiment with peas resulted in one sample of offspring that consisted of 417green peas and166yellow peas. a. Construct a 95​% confidence interval to estimate of the percentage of yellow peas. b. It was expected that​ 25% of the offspring peas would be yellow. Given that the percentage of offspring yellow peas is not​ 25%, do the results contradict​ expectations? A genetic experiment with peas resulted in one sample of offspring that consisted of 417 green peas and 166 yellow peas. a. Construct a 95​% confidence interval to estimate of the percentage of yellow peas. b. It was expected that​ 25% of the offspring peas would be yellow. Given that the percentage of offspring yellow peas is not​ 25%, do the results contradict​ expectations?

What if we're able to use a normal model. To construct a 95% Confidence Interval, we use the following formula: p hat ± ME for 95% CI If p hat = 0.38 and ME for 95% CI = 0.096, what is CI?  Keep the numbers in 3 decimal places. Put the two numbers in ( ) and use a comma, then a space between the two numbers.