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3/ 7 75% Data that is normally distributed is clumped near the mean and then thins out away from the mean. More of the data is near the mean value and fewer of the data is away from the mean value. Normal Distribution 99.72% 95.44% 68.26% 2.14% 13,59% 34.13% 34 13% 13.59% 2.14% -3 -2 -1 +1 +2 +3 The measuring stick is marked off in units called the "standard deviation". This is a stretchy ruler. No matter how wide the bell-shaped curve is, the ruler is always 6 standard deviations long. You stretch the ruler across the entire distribution. The standard deviation marks move to accommodate the width of the distribution. With this ruler, we can talk about the distance from the mean in terms of the number of standard deviations. For instance, 34.13% + 34.13% = 68.26% of the data is within 1 standard deviation of the mean. The symbol for the standard deviation is a Greek sigma, o. To get a rough estimate of the value of a, throw out any outlier data, determine the width of the distribution graph, and then divide by 6.

3/ 7 75% Data that is normally distributed is clumped near the mean and then thins out away from the mean. More of the data is near the mean value and fewer of the data is away from the mean value. Normal Distribution 99.72% 95.44% 68.26% 2.14% 13,59% 34.13% 34 13% 13.59% 2.14% -3 -2 -1 +1 +2 +3 The measuring stick is marked off in units called the "standard deviation". This is a stretchy ruler. No matter how wide the bell-shaped curve is, the ruler is always 6 standard deviations long. You stretch the ruler across the entire distribution. The standard deviation marks move to accommodate the width of the distribution. With this ruler, we can talk about the distance from the mean in terms of the number of standard deviations. For instance, 34.13% + 34.13% = 68.26% of the data is within 1 standard deviation of the mean. The symbol for the standard deviation is a Greek sigma, o. To get a rough estimate of the value of a, throw out any outlier data, determine the width of the distribution graph, and then divide by 6.

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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3/7 75% Data that is normally distributed is clumped near the mean and then thins out away from the mean. More of the data is near the mean value and fewer of the data is away from the mean value. Normal Distribution 99.72% 95.44% 68.26% 2.14% 13.59% 34.13% 34 13% 13 59% 2.14% -3 -2 -1 +1 +2 +3 The measuring stick is marked off in units called the "standard deviation". This is a stretchy ruler. No matter how wide the bell-shaped curve is, the ruler is always 6 standard deviations long. You stretch the ruler across the entire distribution. The standard deviation marks move to accommodate the width of the distribution. With this ruler, we can talk about the distance from the mean in terms of the number of standard deviations. For instance, 34.13% + 34.13% = 68.26% of the data is within1 standard deviation of the mean. The symbol for the standard deviation is a Greek sigma, o. IS To get a rough estimate of the value of a, throw out any outlier data, determine the distribution graph, and then divide by (6. of the
Transcribed Image Text:3/7 75% Data that is normally distributed is clumped near the mean and then thins out away from the mean. More of the data is near the mean value and fewer of the data is away from the mean value. Normal Distribution 99.72% 95.44% 68.26% 2.14% 13.59% 34.13% 34 13% 13 59% 2.14% -3 -2 -1 +1 +2 +3 The measuring stick is marked off in units called the "standard deviation". This is a stretchy ruler. No matter how wide the bell-shaped curve is, the ruler is always 6 standard deviations long. You stretch the ruler across the entire distribution. The standard deviation marks move to accommodate the width of the distribution. With this ruler, we can talk about the distance from the mean in terms of the number of standard deviations. For instance, 34.13% + 34.13% = 68.26% of the data is within1 standard deviation of the mean. The symbol for the standard deviation is a Greek sigma, o. IS To get a rough estimate of the value of a, throw out any outlier data, determine the distribution graph, and then divide by (6. of the
2/7 75% 2) If all the people in Brazil joined hands and stretched themselves out in a straight line, how long would it reach? Put your number in perspective.
Transcribed Image Text:2/7 75% 2) If all the people in Brazil joined hands and stretched themselves out in a straight line, how long would it reach? Put your number in perspective.
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