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O A. If 1000 different random samples of size n= 35 individuals from a populatiga whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of 1.93 or less in about of the samples. O B. If 1000 different random samples of size n = 35 individuals from a population whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of exactly 1.93 in about of the samples. O C. If 1000 different random samples of size n= 35 individuals from a population whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of 1.93 or more in about of the samples.

O A. If 1000 different random samples of size n= 35 individuals from a populatiga whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of 1.93 or less in about of the samples. O B. If 1000 different random samples of size n = 35 individuals from a population whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of exactly 1.93 in about of the samples. O C. If 1000 different random samples of size n= 35 individuals from a population whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of 1.93 or more in about of the samples.

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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(d) One consequence of the popularity of the Internet is that it is thought to reduce television watching. Suppose that a random sample of 35 individuals who consider themselves to be avid Internet users results in a mean time of 1.93 hours watching television on a weekcay. Determine the likelihood of obtaining a sample mean of 1.93 hours or less from a population whose mean is presumed to be 2.35 hours. The likelihood is 0.0990. (Round to four decimal places as needed.) Interpret this probability. Select the correct choice below and fill in the answer box within your choice, (Round to the nearest integer as needed.) O A. If 1000 different random samples of size n=35 individuals from a population whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of 1.93 or less
Transcribed Image Text:(d) One consequence of the popularity of the Internet is that it is thought to reduce television watching. Suppose that a random sample of 35 individuals who consider themselves to be avid Internet users results in a mean time of 1.93 hours watching television on a weekcay. Determine the likelihood of obtaining a sample mean of 1.93 hours or less from a population whose mean is presumed to be 2.35 hours. The likelihood is 0.0990. (Round to four decimal places as needed.) Interpret this probability. Select the correct choice below and fill in the answer box within your choice, (Round to the nearest integer as needed.) O A. If 1000 different random samples of size n=35 individuals from a population whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of 1.93 or less
O A. If 1000 different random samples of size n = 35 individuals from a populatiga whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of 1.93 or less in about of the samples. O B. If 1000 different random samples of size n= 35 individuals from a population whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of exactly 1.93 in about of the samples. OC. If 1000 different random samples of size n = 35 individuals from a population whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of 1.93 or more in about of the samples.
Transcribed Image Text:O A. If 1000 different random samples of size n = 35 individuals from a populatiga whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of 1.93 or less in about of the samples. O B. If 1000 different random samples of size n= 35 individuals from a population whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of exactly 1.93 in about of the samples. OC. If 1000 different random samples of size n = 35 individuals from a population whose mean is assumed to be 2.35 hours is obtained, we would expect a sample mean of 1.93 or more in about of the samples.
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