A large university took a random sample of the students and found that 35% were married. The researcher wondered if that proportion was the same for the entire student population. When the marriage records of all students were checked, the researcher found out that 31% of the students were married. Which of the following is the correct statement?Group of answer choicesBoth 35% and 31% are statisticsThe 35% is a statistic and 31% is the parameterBoth 35% and 31% are parametersThe 31% is a statistic and the 35% is the parameter

A farmer owned hundreds of chickens. He had a new group of baby chicks born in the spring. He took a sample 50 chicks and discovered 24 were roosters (48%). Later, an employee separated all the new chickens into hens/roosters and found that out of the 400 chickens, 220 were roosters (55%). Which of the following is the correct statement?Group of answer choicesBoth 48% and 55% are parametersThe 55% is a statistic and the 48% is the parameter.Both 48% and 55% are statisticsThe 48% is a statistic and 55% is the parameter

A recent Health of Boston report suggests that 14% of female residents suffer from asthma as opposed to 6% of males. Suppose 250 females and 200 males responded to the study. Which of the following is the correct value of the test statistics?Multiple Choice−1.76−2.761.762.76

A social scientist wishes to conduct a survey. She plans to ask a yes/no question to a random sample from the U.S. adult population. One proposal is to select 100 people; another proposal is to select 900 people.Which of the following is true regarding the sample proportion p̂ of "yes" responses? The sample proportion from the sample of 900 is more likely to be close to the true population proportion, p. The sample proportion from sample of 100 is more likely to be close to the true population proportion, p. The sample proportion in either proposal is equally likely to be close to the true population proportion, p, since the sampling is random.

Based on a simple random sample, is there a difference in the proportion of married people between the education levels of Less than High School and More than High School? To answer this statistical question, which statistical procedure should be/should not be used and why? Respond and explain why. (The typical format for each answer is "yes/no, [reason why each works or does not work]") The hypothesis test to compare two proportions? Explain Chi-Square Test of Independence? Explain. Hypothesis test to compare two independent means? Explain. Hypothesis test for Paired Comparisons? Explain. ANOVA? Explain.

A social scientist wishes to conduct a survey. She plans to ask a yes/no question to a random sample from the U.S. adult population. One proposal is to select 100 people; another proposal is to select 900 people.If the study were conducted repeatedly (selecting different samples of people each time), which one of the following would be true regarding the resulting sample proportions of "yes" responses? Different sample proportions would result each time, but for sample size 900 they would be centered (have their mean) at the true population proportion, whereas for sample size 100 they would not. For either sample size, using the same size each time, as long as the sampling is done with replacement, their mean would be 0. Different sample proportions would result each time, but for either sample size, they would be centered (have their mean) at the true population proportion. Different sample proportions would result each time, but for sample size 100 they would be centered (have their mean) at the true population proportion, whereas for sample size 900 they would not.