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Do the part d, e, f and g only  tha

Do the part d, e, f and g only  tha

MATLAB: An Introduction with Applications
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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Do the part d, e, f and g only 

tha

In this question, you will explore the shape of standardized scores of a uniform distribution versus a normal distribution. (a) First, you will explore with the uniform distribution. Generate 1000 data points from Uniform(0, 1), and assign these 1000 data points to an R. object called simulateUniform. Attach your code. (b) Standardized all data in simulate Uniform by subtracting the sample mean from each data point and then dividing it by the sample standard deviation. Assign the standardized data to an R object called standardizedUniform. Attach code. (c) Compute the mean and standard deviation of the standardized data in standardizedUniform. What are the mean and standard deviation? Attach code. (d) Draw a histogram of the standardized data in standardizedUniform. Describe the shape of the histogram. Does it look normal? Why? Attach the code and the histogram. (e) Now, you will explore with the normal distribution. Generate 1000 data points from N(10,5), and assign these 1000 data points to an R object called simulateNormal. Attach your code. (f) Standardized all data in simulate Normal by subtracting the sample mean from each data point and then dividing it by the sample standard deviation. Assign the standardized data to an R object called standardizedNormal. Attach code. (g) Compute the mean and standard deviation of the standardized data in standardizedNormal. What are the mean and standard deviation? Attach code. (h) Draw a histogram of the standardized data in standardizedNormal. Describe the shape of the histogram. Does it look normal? Why? Attach the code and the histogram.
Transcribed Image Text:In this question, you will explore the shape of standardized scores of a uniform distribution versus a normal distribution. (a) First, you will explore with the uniform distribution. Generate 1000 data points from Uniform(0, 1), and assign these 1000 data points to an R. object called simulateUniform. Attach your code. (b) Standardized all data in simulate Uniform by subtracting the sample mean from each data point and then dividing it by the sample standard deviation. Assign the standardized data to an R object called standardizedUniform. Attach code. (c) Compute the mean and standard deviation of the standardized data in standardizedUniform. What are the mean and standard deviation? Attach code. (d) Draw a histogram of the standardized data in standardizedUniform. Describe the shape of the histogram. Does it look normal? Why? Attach the code and the histogram. (e) Now, you will explore with the normal distribution. Generate 1000 data points from N(10,5), and assign these 1000 data points to an R object called simulateNormal. Attach your code. (f) Standardized all data in simulate Normal by subtracting the sample mean from each data point and then dividing it by the sample standard deviation. Assign the standardized data to an R object called standardizedNormal. Attach code. (g) Compute the mean and standard deviation of the standardized data in standardizedNormal. What are the mean and standard deviation? Attach code. (h) Draw a histogram of the standardized data in standardizedNormal. Describe the shape of the histogram. Does it look normal? Why? Attach the code and the histogram.
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