The histogram shows the reviewer ratings on a scale from1 (lowest) to 5 (highest) of a recently published book.(a) Find the mean, variance, and standard deviation of theprobability distribution.(b) Interpret the results.(a) The mean is(Type an integer or a decimal. Do not round.)The variance is(Round to two decimal places as needed.)The standard deviation is(Round to two decimal places as needed.).(b) Interpret the results. Select all that apply.A. The typical rating deviates from the mean by about 4.B. The average rating for the book is approximately 1.C. The typical rating deviates from the mean by about 1.D. The average rating for the book is approximately 4.Probability0.5-0.40.20.1-0.00.020Reviewer Ratings0.084-N20.214 0.239-003Rating140.443FinQOS

E(X)=∑xP(X=x)V(X)=E(X2)−(E(x))2

Answered: The histogram shows the reviewer…

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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For the normal probability plot shown below, the correlation between the random variable X and expected z-scores is 0.889. Determine whether the sample data (n = 15) could have come from a population that is normally distributed Click the icon to view the normal probability plot. Click here to view the table of critical values of the correlation coefficient. OA. The normal probability plot indicates that the sample data could have come from a population that is normally distributed B. The normal probability plot does not indicate that the sample data could have come from a population that is normally distributed
The instructor takes a random sample of size from the population data and obtains the following sample data: x 405 385 495 385 555 470 8 The sample standard deviation is, a 69.17 b 66.51 c 63.14 d 61.49
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Karl Pearson developed a measure that describes the skewness of a distribution, called the coefficient of skewness. The formula is Skewness = 3 (mean-median)/standard deviation. The value of this measure generally lies between -3 and +3. The closer the value lies to -3, the more the distribution is skewed left. The closer the value lies to +3, the more the distribution is skewed right. A value close to 0 indicates a symmetric distribution. Find the coefficient of skewness of the following distributions and comment on the skewness. Compute the coefficient of skewness for the data in Problem 25 Problem 25 data: The following data (see photo) represent the weights (in grams) of random sample of 50 M&M plain candies.
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Karl Pearson developed a measure that describes the skewness of a distribution, called the coefficient of skewness. The formula is Skewness = 3 (mean-median)/standard deviation. The value of this measure generally lies between -3 and +3. The closer the value lies to -3, the more the distribution is skewed left. The closer the value lies to +3, the more the distribution is skewed right. A value close to 0 indicates a symmetric distribution. Find the coefficient of skewness of the following distributions and comment on the skewness. Mean = 100, median = 100, standard deviation = 15
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Find the variance and standard deviation. Round the variance to two decimal places and standard deviation to at least three decimal places.
Karl Pearson developed a measure that describes the skewness of a distribution, called the coefficient of skewness. The formula is Skewness = 3 (mean-median)/standard deviation. The value of this measure generally lies between -3 and +3. The closer the value lies to -3, the more the distribution is skewed left. The closer the value lies to +3, the more the distribution is skewed right. A value close to 0 indicates a symmetric distribution. Find the coefficient of skewness of the following distributions and comment on the skewness. Compute the coefficient of skewness for this data (See photo): The following data represent the length of eruption for a random sample of eruptions at the Old Faithful geyser in Calistoga, California.

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