The advertised weight is 2.13 ounces , the mean is 2.2 ounces and the standard deviation is 0.04 ounces a. What proportion of candy bars weighs lessthan the advertised weight?b. What proportion of candy bars weighs morethan 2.25 ounces?f. S8-SIac. What proportion of candy bars weighs between2.2 and 2.3 ounces?meibExeExercise 12-11: Candy Bar Weights12-10, 12-11, 14-10, 14-11, 15-6, 15-19SamStatia. If the manufacturer wants to adjust theproduction process so only 1 candy bar in1000 weighs less than the advertised weight,what will the mean of the actual weightsbe (assuming the standard deviation of theweights remains 0.04 ounces)?b. If the manufacturer wants to adjust theUniamen175apprweigstanproduction process so the mean remains at2.2 ounces but only 1 candy bar in 1000weighs less than the advertised weight, howsmall does the standard deviation of the -SIweights need to be?c. If the manufacturer wants to adjust theproduction process so the mean is reducedto 2.15 ounces but only 1 candy bar in 1000noweighs less than the advertised weight, howsmall does the standard deviation of thea.b.С.00 weights need to be?m

Name: The advertised weight is 2.13 ounces , the mean is 2.2 ounces and the
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Description: The advertised weight is 2.13 ounces , the mean is 2.2 ounces and the standard deviation is 0.04 ounces a. What proportion of candy bars weighs lessthan the advertised weight?b. What proportion of candy bars weighs morethan 2.25 ounces?f. S8-SIac. Wh

P(X < 2.13) = = P(Z < -1.75)= 0.0401 or 4.01%

Answered: The advertised weight is 2.13 ounces ,…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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The advertised weight is 2.13 ounces , the mean is 2.2 ounces and the standard deviation is 0.04 ounces

a. What proportion of candy bars weighs less
than the advertised weight?
b. What proportion of candy bars weighs more
than 2.25 ounces?
f. S
8-SI
a
c. What proportion of candy bars weighs between
2.2 and 2.3 ounces?
meib
Exe
Exercise 12-11: Candy Bar Weights
12-10, 12-11, 14-10, 14-11, 15-6, 15-19
Sam
Stati
a. If the manufacturer wants to adjust the
production process so only 1 candy bar in
1000 weighs less than the advertised weight,
what will the mean of the actual weights
be (assuming the standard deviation of the
weights remains 0.04 ounces)?
b. If the manufacturer wants to adjust the
Unia
men
175
appr
weig
stan
production process so the mean remains at
2.2 ounces but only 1 candy bar in 1000
weighs less than the advertised weight, how
small does the standard deviation of the -SI
weights need to be?
c. If the manufacturer wants to adjust the
production process so the mean is reduced
to 2.15 ounces but only 1 candy bar in 1000
noweighs less than the advertised weight, how
small does the standard deviation of the
a.
b.
С.
00 weights need to be?m

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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