Question 1 4.5 pts Suppose that 55% of registered voters in North Carolina are registered Republican, 45% are registered Democrat, and 10% are registered as independent. A local paper wants to collect a sample to help predict the next election. - They want to take a sample of 1,500 voters. - They randomly select 1,500 registered voters from the state of North Carolina. - They end up with 300 Independents, 700 Republicans. and 500 Democrats. Is this an example of a simple random sample of registered voters in North Carolina? 0 Yes, they made sure that they gathered a certain amount of registered voters from each of the three categories. 0 No, each group should have the same number of voters. 0 Yes, each registered voter had an equal chance of being selected. 0 No, not all registered voters had an equal chance of being selected. Question 2 4.5 pts Asurvey is carried out at the University of North Carolina Chapel Hill to estimate the proportion of all graduate students living on campus in the current term. Of the 14,855 graduate students enrolled at the campus, a random sample of 300 was surveyed. What is the sample? 0 The 14,855 graduate students at University of North Carolina Chapel Hill. 0 All students at University of North Carolina Chapel Hill. 0 All graduate students in North Carolina. 0 The random sample of 300 students. Question 3 4.5 pts At Yale University, 58% of students are receiving nancial aid in various forms. The school blog selects a random sample of 150 students and 65% of the students that responded that they were receiving some sort of nancial aid. Which of the following statements is false? 0 58% is the parameter and 65% is the statistic' O The population is all of the students at Yale University. 0 65% is the population and 58% is the sample. 0 Another random sample could produce a statistic different than 65%. Question 4 4.5 pts Data was collected in 50 cities across the United Kingdom on the percentage of 25 - 30 year olds in the workforce. - Data was collected in 2015 and then again in 2019. - Gains or losses in percent employment were measured and then conclusions were made. What kind of design was this? I. Asample survey II. An observational study lll. An experimental design 0 lllonly 0 ll Only 0 lOnly 0 land || Only Question 5 4.5 pts What is the purpose of nding a sample mean or proportion? O The purpose is to estimate the population mean or proportion. O The purpose is to show what one part of the population mean or proportion looks like. 0 There is no purpose in taking a sample. It will always be inaccurate. Q There is no purpose becuase you should always nd the population mean or proportion. Estimates are not accurate. Question 6 4.5 pts ls pancakes and eggs or hot oatmeal with bacon a more lling breakfast for teenagers? - Sixty student volunteers were randomly split into two groups and then randomly assigned their breakfast. - One group is fed pancakes and eggs, while the other group is fed hot oatmeal and bacon. - Each student volunteer rates his/her breakfast on a scale of 1 - 10 on how hungry they were an hour later. If the pancake and eggs had a signicantly higher average score, which of the following is true? 0 Pancake and eggs are more lling for all teenagers. C) All the aspects of experimental design were present. In general students nd pancake and eggs to be more lling after an hour than hot oatmeal and bacon and we can apply this conclusion to all students. 0 Since the treatments were not randomly assigned the researchers can make the conclusion that pancake and eggs causes the students to be fuller longer. 0 Pancake and eggs are more lling for the sixty volunteers. Question 7 4.5 pts Each of the 32 NFL teams has 53 players. A sample of 75 players is to be chosen using the following method. . Each team will be asked to place 53 pieces of paper with its players' names into a hat and randomly draw out two names. - The two names from each team will be combined to make up the sample. Explain how this method could result in less bias than a simple random sample. Justify your answer. 0 In order for it to result in less bias we will need to take a random sample of the teams and use the whole teams chosen as part of the sample. 0 It results in less bias because this will ensure that all players chosen will all be either offensive or defensive players. 0 It does not result in less bias the only way to reduce bias is to do a simple random sample. 0 It results in less bias because each team will have an equal number of players represented in the sample
