b. How is it possible for the standard deviation tobe greater than the average?c. Why can I still answer the name of thedistribution in part a when the distribution of X isveryright skewed?d. What is the probability that my sampling erroris within $500 of the true mean? The distribution of income in some Third Worldcountries is considered very right skewed (manyvery poor people, very few middle income people,and even fewer wealthy people).Suppose we pick a country with a severely rightskewed distribution. Let the average salary be$2,000 per year with a standard deviation of$8,000. We randomly survey 1,000 residents ofthat country.a. What is the sampling distribution of the samplemean, including name of the distribution,its mean,error,and standard?

For the distribution of salary of a specified country, it is interpreted that: μ (mean)=$2000σ…

Answered: b. How is it possible for the standard…

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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An Excel assignment counts for 0-10 points. The scores in a class of 12 students are recorded as follows:1 5 5 6 7 7 8 8 8 9 10 10 What is the deviation of the score 10 from the mean in 13a (recall that this involves a subtraction of the mean from the particular score)? I think I got answer but want to check.
2. The mean of a statistics examination is 77.0. a. If your score is 85, would you prefer the standard deviation to be large or small for purposes of getting a better grade? Why? b. If your score is 69, would you prefer the standard deviation to be large or small? Why?
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.
The average income in a state was $64 comma 64,000 per person per year. Suppose the standard deviation is $29 comma 29,000 and the distribution is right-skewed. Suppose we take a random sample of 100 residents of the state. Complete parts (a) and (b) below. a. What value should we expect for the sample mean? Why? b. What is the standard error for the sample mean?
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
A successful basketball player has a height of 6 feet 11 inches, or 211 cm. Based on statistics from a data set, his height converts to the z score of 5.17. How many standard deviations is his height above the mean?
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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b. How is it possible for the standard deviation to be greater than the average? c.Why can I still answer the name of the distribution in part a when the distribution of X is very right skewed? d. What is the probability that my sampling error is within $500 of the true mean?