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This will give you the following. : x = 0.469 S= 0.263 Q1 = = 0.228 Median = 0.489 Q3 = 0.648 Looking at the histogram and boxplot, comment on the shape:

This will give you the following. : x = 0.469 S= 0.263 Q1 = = 0.228 Median = 0.489 Q3 = 0.648 Looking at the histogram and boxplot, comment on the shape:

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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This will give you the following. : = 0.469 S = 0.263 Q1 = 0.228 Median = 0.489 Q3 = 0.648 Looking at the histogram and boxplot, comment on the shape: Now let's look at the theoretical distribution: X~ U (0, 1) μ = σ = Q1 = Median = 4 Q3 = Comment on how close the empirical and theoretical values are:
Transcribed Image Text:This will give you the following. : = 0.469 S = 0.263 Q1 = 0.228 Median = 0.489 Q3 = 0.648 Looking at the histogram and boxplot, comment on the shape: Now let's look at the theoretical distribution: X~ U (0, 1) μ = σ = Q1 = Median = 4 Q3 = Comment on how close the empirical and theoretical values are:
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Introduction

Since you have asked multiple questions, we will solve the first question for you. If you want any question to be solved, then please specify the question number or post only that question. 

Histogram is the graph which used to determine the shape of the distribution. It compare the mean, median and mode of the distribution. There are two types of skewness they are right or positive skew and left or negative skew. Box plot is the graph which used to plot the quartile values and it also helps to understand the shape of the distribution. 

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