According to the central limit theorem (CLT), no matter which distribution the data is collected from, as long as some conditions are met, we can always expect the sample average to behave like a normal random variable, i.e., the sampling distribution can be approximated by a normal distribution. Which is NOT a CLT condition for sample mean? a) The sample size has to be larger than 10. b) The original distribution of the data is Normal. c) A random sample with sample size is less than 30 with no outliers. d) A random sample with sample size is larger than 30 with no extreme outlier
According to the central limit theorem (CLT), no matter which distribution the data is collected from, as long as some conditions are met, we can always expect the sample average to behave like a normal random variable, i.e., the sampling distribution can be approximated by a normal distribution. Which is NOT a CLT condition for sample mean? a) The sample size has to be larger than 10. b) The original distribution of the data is Normal. c) A random sample with sample size is less than 30 with no outliers. d) A random sample with sample size is larger than 30 with no extreme outlier
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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According to the central limit theorem (CLT), no matter which distribution the data is collected from, as long as some conditions are met, we can always expect the sample average to behave like a normal random variable, i.e., the sampling distribution can be approximated by a
Which is NOT a CLT condition for sample mean?
a) The sample size has to be larger than 10.
b) The original distribution of the data is Normal.
c) A random sample with sample size is less than 30 with no outliers.
d) A random sample with sample size is larger than 30 with no extreme outlier
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