How can we know how far or major the skewness and outlier number to be considered approximately normal or not?

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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How can we know how far or major the skewness and outlier number to be considered approximately normal or not?

Checking the Conditions
osbiV,vlisa S.X 030 esitaite)2 A
Here are the conditions for a one-sample t-interval for a population mean
To check for independence
1. The data are collected using a random sample
randomized
experiment
without
2. When sampling
replacement, the
equal to 10% of the population size.
To check that the shape of the
3. The sample size is_large (n ≥ 30)
sampling distribution
OR
www.ed
from the population or a
ob woh
is less than or
If n < 30, the sample data are free from strong
Sample size
is approximately normal:
sonsbilno
strong skewness or outliers.
Transcribed Image Text:Checking the Conditions osbiV,vlisa S.X 030 esitaite)2 A Here are the conditions for a one-sample t-interval for a population mean To check for independence 1. The data are collected using a random sample randomized experiment without 2. When sampling replacement, the equal to 10% of the population size. To check that the shape of the 3. The sample size is_large (n ≥ 30) sampling distribution OR www.ed from the population or a ob woh is less than or If n < 30, the sample data are free from strong Sample size is approximately normal: sonsbilno strong skewness or outliers.
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