5. A. Draw a bell-shaped curve and label the axis with the 7 values including the mean of 500 in the center and the other 6 values of 1. 2, and 3 standard deviations away from the mean B. Approximately what percentage of data values fall below 500?C. Approximately what percentage of data values fall between 400 and 600 ?D. Approximately what percentage of data values fall between 300 and 700?E. Approximately what percentage of data values fall between 200 and 800? F. Approximately what percentage of data values fall above 600?G. Approximately what percentage of data values fall below 200? H. Approximately what percentage of data values fall between 400 and 700 ? KTMKhalia MerriweatherLAB 1 WordKhalia MerriweatheresignLayoutReferencesMailingsReviewViewHelpTell me what you want to do5. Suppose a bell-shaped data set has a mean of 500 and standard deviation of 100.Answer the following questions using a bell-shaped distribution and the empirical rule.A. Draw a bell-shaped curve and label the axis with the 7 values including themean of 500 in the center and the other 6 values of 1, 2, and 3 standarddeviations away from the mean.B. Approximately what percentage of data values fall below 500?C. Approximately what percentage of data values fall between 400 and 600?D. Approximately what percentage of data values fall between 300 and 700?E. Approximately what percentage of data values fall between 200 and 800?F. Approximately what percentage of data values fall above 600?G. Approximately what percentage of data values fall below 200?H. Approximately what percentage of data values fall between 400 and 700?archhodeleteprt scfizSUfnf10f9 144f814backspace&089.96%24

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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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5. A. Draw a bell-shaped curve and label the axis with the 7 values including the mean of 500 in the center and the other 6 values of 1. 2, and 3 standard deviations away from the mean

B. Approximately what percentage of data values fall below 500?

C. Approximately what percentage of data values fall between 400 and 600 ?

D. Approximately what percentage of data values fall between 300 and 700?

E. Approximately what percentage of data values fall between 200 and 800?

F. Approximately what percentage of data values fall above 600?

G. Approximately what percentage of data values fall below 200?

H. Approximately what percentage of data values fall between 400 and 700 ?

KTM
Khalia MerriweatherLAB 1 Word
Khalia Merriweather
esign
Layout
References
Mailings
Review
View
Help
Tell me what you want to do
5. Suppose a bell-shaped data set has a mean of 500 and standard deviation of 100.
Answer the following questions using a bell-shaped distribution and the empirical rule.
A. Draw a bell-shaped curve and label the axis with the 7 values including the
mean of 500 in the center and the other 6 values of 1, 2, and 3 standard
deviations away from the mean.
B. Approximately what percentage of data values fall below 500?
C. Approximately what percentage of data values fall between 400 and 600?
D. Approximately what percentage of data values fall between 300 and 700?
E. Approximately what percentage of data values fall between 200 and 800?
F. Approximately what percentage of data values fall above 600?
G. Approximately what percentage of data values fall below 200?
H. Approximately what percentage of data values fall between 400 and 700?
arch
ho
delete
prt sc
fiz
SU
fn
f10
f9 144
f8
14
backspace
&
08
9.
96
%24

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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