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e sample proportion valu

e sample proportion valu

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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11.42% of all vehicles in operation in the US are SUVs (sports utility vehicles). Suppose a random sample of n = 60 will be selected. Whether or not the vehicle is an SUV will be recorded, and the sample proportion will be computed. Based on the information provided, which option applies to the distribution of possible sample proportion values? 0 The distribution of all possible sample proportion values is normal because the population distribution of responses is normal. The distribution of all possible sample proportion values is unknown because the sample size is not large enough. The distribution of all possible sample proportion values is approximately normal because the sample size n is large enough (at least 10 successes and at least 10 failures). The distribution of all possible sample proportion values is approximately normal because the sample size n is large enough (larger than 25).
Transcribed Image Text:11.42% of all vehicles in operation in the US are SUVs (sports utility vehicles). Suppose a random sample of n = 60 will be selected. Whether or not the vehicle is an SUV will be recorded, and the sample proportion will be computed. Based on the information provided, which option applies to the distribution of possible sample proportion values? 0 The distribution of all possible sample proportion values is normal because the population distribution of responses is normal. The distribution of all possible sample proportion values is unknown because the sample size is not large enough. The distribution of all possible sample proportion values is approximately normal because the sample size n is large enough (at least 10 successes and at least 10 failures). The distribution of all possible sample proportion values is approximately normal because the sample size n is large enough (larger than 25).
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