To represent the population of the entire population, we use the symbol p. 0 True 0 False Question 2 10 pts In order to estimate the proportion of students that use social media at your school you take a simple random sample of 375 students. Of the 375 students, 300 use social media with a margin of error of 0.15. Which of the following represents the condence interval used to estimate the proportion of students that use social media? 0 (0.60, 0.90) O (0.80, 0.95) O (0.75, 0.85) O (0.65, 0.95) Question 3 10 pts Which of the following is not a condition that needs to be satised in order to construct a condence interval which estimates a population proportion? O The sample size needs to be greater than 30. O The population distribution needs to be normally distributed. 0 The sample needs to come from a random sample. 0 The population needs to be 10 times the sample size. Question 4 10 pts A report of a sample survey of 1,014 millennials says the following: A 95% condence interval was created and it was found that between 40% and 60% of all millennials expect to wait until age 30 to get married. What does the condence interval of (40%, 60%) reveal? 0 It does not give us any insight into the population proportion of millennials that wait until age 30 to get married. 0 The true population proportion of millennials that wait until age 30 to get married is always between 40% and 60%. Q If a different sample survey of 1,014 millennials was taken then this condence interval would be exactly the same. 0 The true population proportion of millennials that wait until age 30 to get married is possibly between 40% and 60%. Question 5 10 pts An online newspaper sent out a poll regarding the highest level of math that adults think they needed. The 90% confidence interval for a random sample of 200 people stated that Geometry was the highest level of math they think they needed was constructed. The confidence interval was (0.12, 0.38). The point estimate (sample proportion) used to construct the confidence interval was: O 0.25 O 0.38 O 0.20 O 0.13Question 6 10 pts An online newspaper sent out a poll regarding the highest level of math that adults think they needed. The 90% confidence interval for a random sample of 200 people stated that Geometry was the highest level of math they think they needed was constructed. The confidence interval was (0.12, 0.38). The margin of error for the confidence interval was: O 0.38 O 0.13 O 0.25 O 0.20Question 7 10 pts A grocery store would like to determine whether or not they should continue to sell shortbread cookies. . They take a random sample of 550 customers. . 30% of the customers purchase shortbread cookies. Construct a 95% confidence interval to estimate the proportion of customers that purchase shortbread cookies. All conditions for confidence intervals have been met. O (0.28, 0.320) O (0.261 , 0.338) O (0.20, 0.40) O (0.25, 0.35)Question 8 10 pts When constructing a 99% confidence interval which of the following is true? O If you construct 100 intervals, 99 of the intervals will NOT contain the population proportion. When you construct the confidence interval you are sure you have created an interval that will capture the population proportion. O If you construct 100 intervals, 99 of the intervals will contain the population proportion. Because the confidence level is so high, we used the population proportion to construct the confidence interval instead of the sample proportion.Question 9 10 pts What does the circled portion represent in the confidence interval formula? * p(1- p) n O Sample proportion O Sample Size Confidence interval O Margin of errorQuestion 10 10 pts When using a sample proportion to estimate a population proportion, why must we add a margin of error? 0 Every sample proportion obtained can be different. The margin of error gives us a range of values that are possible for the population proportion. it allows the sample proportion to be \"off\" by a little. 0 The margin of error allows for mistakes if a random sample is not used. 0 Every sample proportion obtained will be the same. The margin of error gives us a range of values that are possible for the population proportion. it allows the sample proportion to be \"off\" by a little. 0 Every sample proportion obtained can be different. The margin of error makes sure that we capture the population proportion 100% of the time