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According to a newspaper, 68% of high school seniors have a driver's license. Suppose we take a random sample of 200 high school seniors and

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According to a newspaper, 68% of high school seniors have a driver's license. Suppose we take a random sample of 200 high school seniors and nd the proportion who have a driver's license. a. What value should we expect for our sample proportion? b. What is the standard error? 6. Use your answers to parts (a) and (b) to complete this sentence: We expect _% to have their driver's license, give or take %. d. Suppose we increased the sample size from 200 to 600. What effect would this have on the standard error? Recalculate the standard error to see if your prediction was correct. a. We should expect a sample proportion of |:|%. (Type an integer or a decimal. Do not round.) b. The standard error is El. (Type an integer or decimal rounded to three decimal places as needed.) c. Use your answers to ll in the blanks below. We expect I:% of students to have a driver's license, give or take |:|%. (Type integers or decimals rounded to one decimal place as needed.) d. Select the correct choice below and ll in the answer box to complete your choice. (Type an integer or decimal rounded to one decimal place as needed.) O A. The standard error would remain the same. The standard error is still % . O B. We cannot determine what would happen to the standard error without performing the calculation. After performing the calculation, the new standard error is % O C. The standard error would increase. The new standard error is %. O D. The standard error would decrease. The new standard error is %.In 2018 it was estimated that approximately 43% of the American population watches the Super Bowl yearly. Suppose a sample of 134 Americans is randomly selected. After verifying the conditions for the Central Limit Theorem are met, nd the probability that the majority (more than 50%) watched the Super Bowl. First, verify that the conditions of the Central Limit Theorem are met. The Random and Independent condition holds assuming independence. The Large Samples condition The Big Populations condition reasonably be assumed to hold. The probability is |:|. (Type an integer or decimal rounded to three decimal places as needed.) According to data released in 2016, 69% of students in the United States enroll in college directly after high school graduation. Suppose a sample of 178 recent high school graduates is randomly selected. After verifying the conditions for the Central Limit Theorem are met, find the probability that at most 62% enrolled in college directly after high school graduation. First, verify that the conditions of the Central Limit Theorem are met. The Random and Independent condition The Large Samples condition The Big Populations condition reasonably be assumed to hold. The probability is |:. (Type an integer or decimal rounded to three decimal places as needed.)

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