WK 5 KC

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American Military University *

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302

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Statistics

Date

Jun 12, 2024

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pdf

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Week 5 Knowledge Check Homework Practice Questions Your work has been saved and submitted Written Jun 4, 2024 12:21 AM - Jun 4, 2024 2:25 AMAttempt 1 of 4 Attempt Score 16.5 / 20 - 82.5% Overall Grade (Highest Attempt) 16.5 / 20 - 82.5 % Question 1 1 /1 point There is no prior information about the proportion of Americans who support Medicare-for-all in 2019. If we want to estimate 95% confidence interval for the true proportion of Americans who support Medicare-for-all in 2019 with a 0.3 margin of error, how many randomly selected Americans must be surveyed? Answer: (Round up your answer to nearest whole humber) 11 v
W Hide question 1 feedback Z-Critical Value = NORM.S.INV(.975) = 1.96 n = Question 2 1 /1 point Select the correct answer for the blank: If everything else stays the same, the required sample size as the confidence level increases to reach the same margin of error. Answer: v ) Increases ) Decreases ~ ) Remains the same Question 3 1 /1 point
A random sample of college basketball players had an average height of 66.35 inches. Based on this sample, (65.6, 67.1) found to be a 94% confidence interval for the population mean height of college basketball players. Select the correct answer to interpret this interval. () 94% of college basketball players have height between 65.6 and 67.1 inches. O There is a 94% chance that the population mean height of college basketball players is between 65.6 and ~ 67.1 inches. v ) We are 94% confident that the population mean height of college basketball players is between 65.6 and 67.1 inches. ") We are 94% confident that the population mean height of college basketball players is 66.35 inches. Question 4 1 / 1 point The population standard deviation for the height of college basketball players is 3.5 inches. If we want to estimate 97% confidence interval for the population mean height of these players with a 0.5 margin of error, how many randomly selected players must be surveyed? (Round up your answer to nearest whole number) Answer: 231 v W Hide question 4 feedback Z-Critical Value = NORM.S.INV(.985) = 2.17009 n =
Question 5 1 /1 point The population standard deviation for the height of college basketball players is 3.4 inches. If we want to estimate 95% confidence interval for the population mean height of these players with a 0.5 margin of error, how many randomly selected players must be surveyed? (Round up your answer to nearest whole number) Answer: 178 v W Hide question 5 feedback Z-Critical Value = NORM.S.INV(.975) = 1.96 n =
Question 6 1 /1 point The population standard deviation for the height of college basketball players is 3 inches. If we want to estimate a 99% confidence interval for the population mean height of these players with a 0.5 margin of error, how many randomly selected players must be surveyed? (Round up your answer to nearest whole number) Answer: 239 v W Hide question 6 feedback Z-Critical Value = NORM.SINV(.995) = 2.575 n = Question 7 1 /1 point There is no prior information about the proportion of Americans who support free trade in 2018. If we want to estimate a 97.5% confidence interval for the true proportion of Americans who support free trade in 2018 with a 0.16 margin of error, how many randomly selected
Americans must be surveyed? Answer: (Round up your answer to nearest whole humber) 50 v W Hide question 7 feedback Z-Critical Value = NORM.S.INV(.9875) = 2.241403 n = Question 8 1 /1 point Suppose a marketing company wants to determine the current proportion of customers who click on ads on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.42 based on a random sample of 100 customers. Compute a 92% confidence interval for the true proportion of customers who click on ads on their smartphones and fill in the blanks appropriately. ___0.334 __ «v+(50%) <p < 0.506 v (50 %) (round to 3 decimal places)
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