1. On average, what would you expect to be the mean of the four times? 441 days . How much variation would you expect from your answer in part (a)? (Hint: Use the three-standard-deviations rule.) "he sample mean is expected to fall between and days

1. On average, what would you expect to be the mean of the four times? 441 days . How much variation would you expect from your answer in part (a)? (Hint: Use the three-standard-deviations rule.) "he sample mean is expected to fall between and days

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Description: 7.2.51Question HelpFor earthquakes with a magnitude 7.5 or greater on the Richter scale, the time between successive earthquakes has a mean of 441 days and a standard deviation of363 days. Suppose that you observe a sample of four times between succ

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 list of test scores has a mean of 50. Estimate whether the standard deviation is closest to 0, 1, 2 or 10. (This problem requires NO arithmetic - instead, I'm looking at your intuition about standard deviation) 12, 25, 14, 17, 12, 13, 12 (a) 0 (b) 1 (c) 2 (d) 10
Which is NOT a correct statement about the variance and standard deviation? a. The standard deviation is the sqaure root of the variance b. The standard deviation is useful when considering how close the data are to the mean c. The variance is roughly the average sqaured distance from the mean d. None of above
B Choosing a topic Sk.. For data that is not normally distributed we can't use z-scores. However, there is an equation that works on any distribution. It's called Chebyshev's formula. The formula 1 where p is the minimum percentage of scores that fall within k k2 is p = 1 - standard deviations on both sides of the mean. Use this formula to answer the following questions. a) If you have scores and you don't know if they are normally distributed, find the minimum percentage of scores that fall within 2.2 standard deviations on both sides of the mean? b) If you have scores that are normally distributed, find the percentage of scores that fall within 2.2 standard deviations on both sides of the mean? c) If you have scores and you don't know if they are normally distributed, how many standard deviations on both sides of the mean do we need to go to have 64 percent of the scores? Note: To answer part c you will need to solve the equation for k.