The Central Limit Theorem explains why the distribution of the population mean will be for any sample mean states that sample means are approximately nomal allows us to draw conclusions about sample means shows us that all data when big enough will have a normal distribution is the reason the shape of a combination of uncertain numbers goes up in the middle

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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The Central Limit Theorem
explains why the distribution of the population mean will be for any sample mean
states that sample means are approximately normal
allows us to draw conclusions about sample means
shows us that all data when big enough will have a normal distribution
is the reason the shape of a combination of uncertain numbers goes up in the middle
QUESTION 24
When uncertain numbers are averaged together, the distribution of the average
Goes up in the middle and down on the ends
Goes down in the middle and up on the ends
O Triangular
O Uniform
O is linear
QUESTION 25
When uncertain inputs have a non-linear relationship with one another, average inputs will equal average outputs.
O True
O False
Transcribed Image Text:The Central Limit Theorem explains why the distribution of the population mean will be for any sample mean states that sample means are approximately normal allows us to draw conclusions about sample means shows us that all data when big enough will have a normal distribution is the reason the shape of a combination of uncertain numbers goes up in the middle QUESTION 24 When uncertain numbers are averaged together, the distribution of the average Goes up in the middle and down on the ends Goes down in the middle and up on the ends O Triangular O Uniform O is linear QUESTION 25 When uncertain inputs have a non-linear relationship with one another, average inputs will equal average outputs. O True O False
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