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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Business Weekly conducted a survey of graduates from 30 top MBA programs. On the basis of the survey, assume the mean annual salary for graduates 10 years after graduation is $132,000. Assume the standard deviation is $31,000. Suppose you take a simple random sample of 37 graduates. Round all answers to four decimal places if necessary. a. What is the distribution of X? X - N( b. What is the distribution of ? I - N c. For a single randomly selected graduate, find the probability that her salary is between $129,255 and $133,703. d. For a simple random sample of 37 graduates, find the probability that the average salary is between $129,255 and $133,703. e. For part d), is the assumption of normal necessary? O YesO No
In general, the standard error of the sampling distribution is __________the standard deviation from the related population distribution.. Group of answer choices unrelated to smaller than larger than equal to
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Business Weekly conducted a survey of graduates from 30 top MBA programs. On the basis of the survey, assume the mean annual salary for graduates 10 years after graduation is $181,000. Assume the standard deviation is $32,000. Suppose you take a simple random sample of 39 graduates. Round all answers to four decimal places if necessary. a. What is the distribution of X? X - N b. What is the distribution of a? - NO c. For a single randomly selected graduate, find the probability that her salary is between $180,714 and $188,276. d. For a simple random sample of 39 graduates, find the probability that the average salary is between $180,714 and $188,276. e. For part d), is the assumption of normal necessary? O No Yes Question Help: Message instructor Submit Question
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
The standard deviation of a variable that has a normal distribution controls? a. The spread of the curve and is interpreted as the typical distance and observation is from the mean b. The spread of the curve and is interpreted as the typical outcome c. The probability is equivalent to the binomial formula calculation, but very rare d. The location of the curve and is interpreted as the mean or average outcome
Which of the following are true? There is more than one correct answer.
← The overhead reach distances of adult females are normally distributed with a mean of 205.5 cm and a standard deviation of 7.8 cm. a. Find the probability that an individual distance is greater than 218.90 cm. b. Find the probability that the mean for 15 randomly selected distances is greater than 203.30 cm. c. Why can the normal distribution be used in part (b), even though the sample size does not exceed 30? a. The probability is (Round to four decimal places as needed.) F7 View an example Get more help - 7 F8 U F9 * 8 S 4 T DELL F10 -!!!/ ( 9 O F11 ) O F12 P Clear all PrtScr 13 { [ + 11 = Check answer 86°F Mostly sunny Insert Delete Backspace 1 2 S Inco P Ca PgUp Num Lock
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.
A university dean wishes to estimate the average number of hours his part-time instructors teach per week. The standard deviation from the previous study is 2.6 hours. How large a sample must be selected if he wants to be 99% confident of finding whether the true mean differs from the sample mean by 1 hour? 20 45 44 19 What is the margin of error? minutes

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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?