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A random survey of enrollment at 2020 community colleges across the United States yielded the following figures: 21,845;  2,442;  9,414;  7,681;  3,200;  17,500;  9,200;  7,380;  18,314;  6,557; 13,713;  17,768;  7,493;  2,771;  2,861;  1,263;  7,285;  28,165;  5,080;  11,658 (a) Assume the underlying population is normal. i.  x‾= ii.  sx=  iii.  n=  iv.   n−1=  (d) Construct a  97%  confidence interval for the population mean enrollment at community colleges in the United States. Enter your answer in interval notation. Round your answer to the nearest integer. Do not round any intermediate calculations.

A random survey of enrollment at 2020 community colleges across the United States yielded the following figures: 21,845;  2,442;  9,414;  7,681;  3,200;  17,500;  9,200;  7,380;  18,314;  6,557; 13,713;  17,768;  7,493;  2,771;  2,861;  1,263;  7,285;  28,165;  5,080;  11,658 (a) Assume the underlying population is normal. i.  x‾= ii.  sx=  iii.  n=  iv.   n−1=  (d) Construct a  97%  confidence interval for the population mean enrollment at community colleges in the United States. Enter your answer in interval notation. Round your answer to the nearest integer. Do not round any intermediate calculations.

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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A random survey of enrollment at 2020 community colleges across the United States yielded the following figures:

21,845;  2,442;  9,414;  7,681;  3,200;  17,500;  9,200;  7,380;  18,314;  6,557; 13,713;  17,768;  7,493;  2,771;  2,861;  1,263;  7,285;  28,165;  5,080;  11,658

(a) Assume the underlying population is normal.

i.  x‾=

ii.  sx= 

iii.  n= 

iv.   n−1= 

(d) Construct a  97%  confidence interval for the population mean enrollment at community colleges in the United States.

Enter your answer in interval notation.

Round your answer to the nearest integer.

Do not round any intermediate calculations.

 

(b) Define the random variables X and X in words X is the number of students enrolled from a sample of 20 community colleges in the United States. X is the mean number of students enrolled in a community college in the United States. X is the number of students enrolled at a community college in the United States. X is the mean number of students enrolled from a sample of 20 community colleges in the United States. X is the number of students enrolled at a community college in the United States. X is the mean number of students enrolled from the population of community colleges in the United States. X is the mean number of students enrolled from a sample of 20 community colleges in the United States. X is the number of students enrolled at a community college in the United States. X is the number of students enrolled at a community college in the United States. X is the number of students enrolled from a sample of 20 community colleges in the United States. (c) Which distribution should you use for this problem? Explain your choice. o X~ t20, since the sample size is small o is being used as an estimate for s. o X~ t19, since the sample size is small and s is being used as an estimate for o. o X~ t19. since the sample size is small o is being used as an estimate for s. o X~ t20, since the sample size is small and s is being used as an estimate for o. o X~ N (10,070, 7,332), since the underlying population is normal.
Transcribed Image Text:(b) Define the random variables X and X in words X is the number of students enrolled from a sample of 20 community colleges in the United States. X is the mean number of students enrolled in a community college in the United States. X is the number of students enrolled at a community college in the United States. X is the mean number of students enrolled from a sample of 20 community colleges in the United States. X is the number of students enrolled at a community college in the United States. X is the mean number of students enrolled from the population of community colleges in the United States. X is the mean number of students enrolled from a sample of 20 community colleges in the United States. X is the number of students enrolled at a community college in the United States. X is the number of students enrolled at a community college in the United States. X is the number of students enrolled from a sample of 20 community colleges in the United States. (c) Which distribution should you use for this problem? Explain your choice. o X~ t20, since the sample size is small o is being used as an estimate for s. o X~ t19, since the sample size is small and s is being used as an estimate for o. o X~ t19. since the sample size is small o is being used as an estimate for s. o X~ t20, since the sample size is small and s is being used as an estimate for o. o X~ N (10,070, 7,332), since the underlying population is normal.
(e) What will happen to the error bound and confidence interval if 300 community colleges were surveyed? Why? The error bound and confidence interval will both increase since increasing the sample size decreases variability in the sample. The error bound and confidence interval will both increase since increasing the sample size increases variability in the sample. The error bound and confidence interval will both decrease since increasing the sample size increases variability in the sample. The error bound and confidence interval will both decrease since increasing the sample size decreases variability in the sample.
Transcribed Image Text:(e) What will happen to the error bound and confidence interval if 300 community colleges were surveyed? Why? The error bound and confidence interval will both increase since increasing the sample size decreases variability in the sample. The error bound and confidence interval will both increase since increasing the sample size increases variability in the sample. The error bound and confidence interval will both decrease since increasing the sample size increases variability in the sample. The error bound and confidence interval will both decrease since increasing the sample size decreases variability in the sample.
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