a) Calculate the mean Hg and the standard deviation o, of the given 15 numbers (4). numbers: 311 484 828 436 316 706 539 132 762 412 760 161 664 99 772 b) Using the following equation and the calculated mean yand standard deviation o, calculate each f(4) value that corresponds to each . -(4-)/203 1 f(+)= V2n c) Plot the distribution as an against f(4) graph.

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Chapter1: Starting With Matlab
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a) Calculate the mean ug and the standard deviation o, of the given 15 numbers ().
numbers: 311 484 828 436 316 706 539 132 762 412 760 161 664 99
772
b) Using the following equation and the calculated mean pg and standard deviation og, calculate
each f(o) value that corresponds to each o.
-(4-+)/203
1
f(+)=
V2n
e
c) Plot the distribution as an o against f(4) graph.
d) Calculate the mean u and the standard deviation o of the f(4) data you generated.
Subsequently, calculate the standardized variable z for each f() value using the equation
e) Find the probabilities corresponding to each z value using the probability distribution function
(normal distribution) table
f) Plot the probabilites obtained from the table against f(4) to form a normal probability paper
plot. Plot a trendline to more clearly see the linearity.
g) From the normal probability paper plot you obtained, again find the mean and the standard
deviation of the f(4) data
Compare those values with the mean and the standard deviation values you had already
obtained for section d
h) Calculate the skewness coefficient of the f() data.
Transcribed Image Text:a) Calculate the mean ug and the standard deviation o, of the given 15 numbers (). numbers: 311 484 828 436 316 706 539 132 762 412 760 161 664 99 772 b) Using the following equation and the calculated mean pg and standard deviation og, calculate each f(o) value that corresponds to each o. -(4-+)/203 1 f(+)= V2n e c) Plot the distribution as an o against f(4) graph. d) Calculate the mean u and the standard deviation o of the f(4) data you generated. Subsequently, calculate the standardized variable z for each f() value using the equation e) Find the probabilities corresponding to each z value using the probability distribution function (normal distribution) table f) Plot the probabilites obtained from the table against f(4) to form a normal probability paper plot. Plot a trendline to more clearly see the linearity. g) From the normal probability paper plot you obtained, again find the mean and the standard deviation of the f(4) data Compare those values with the mean and the standard deviation values you had already obtained for section d h) Calculate the skewness coefficient of the f() data.
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