The Human Security Report Project has been tracking wars etc. for many years. The following table lists the number of wars each year from 1992 (year #1) to 2005 (year #14): Y Year # # ofArmed Conflicts 1 52 3 46 42 7 39 10 36 12 29 1) Find the Standard Deviation of the Y values. (Round off all decimals to 1 decimal place.) 2) Make a graph of the data (x,y values) 3) Calculate the coefficient of correlation (r = ) to see how well the data is lined up. 4) Find the regression line (best line to fit the data), y = mx + b. 5) Graph the regression line on the same graph as the data. 6) What is your conclusion on the security/safety of the world from 1992-2005, and how reliable is your conclusion?
The Human Security Report Project has been tracking wars etc. for many years. The following table lists the number of wars each year from 1992 (year #1) to 2005 (year #14): Y Year # # ofArmed Conflicts 1 52 3 46 42 7 39 10 36 12 29 1) Find the Standard Deviation of the Y values. (Round off all decimals to 1 decimal place.) 2) Make a graph of the data (x,y values) 3) Calculate the coefficient of correlation (r = ) to see how well the data is lined up. 4) Find the regression line (best line to fit the data), y = mx + b. 5) Graph the regression line on the same graph as the data. 6) What is your conclusion on the security/safety of the world from 1992-2005, and how reliable is your conclusion?
MATLAB: An Introduction with Applications
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![I. Standard Deviation & Correlation
.......
The Human Security Report Project has been tracking wars etc. for
many years. The following table lists the number of wars each year
from 1992 (year #1) to 2005 (year #14):
X
Y
Year # # ofArmed Conflicts
52
46
42
39
36
29
1) Find the Standard Deviation of the Y values. (Round off all
decimals to 1 decimal place.)
2) Make a graph of the data (x,y values)
3) Calculate the coefficient of correlation (r= ) to see how well the
data is lined up.
4) Find the regression line (best line to fit the data), y = mx + b.
5) Graph the regression line on the same graph as the data.
6) What is your conclusion on the security/safety of the world from
1992-2005, and how reliable is your conclusion?
1357m의](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F283c98b8-58fa-42c0-808c-55595b01a56a%2Fa0443066-4bb2-418a-9090-32e1358d1a39%2Fraiptu_processed.jpeg&w=3840&q=75)
Transcribed Image Text:I. Standard Deviation & Correlation
.......
The Human Security Report Project has been tracking wars etc. for
many years. The following table lists the number of wars each year
from 1992 (year #1) to 2005 (year #14):
X
Y
Year # # ofArmed Conflicts
52
46
42
39
36
29
1) Find the Standard Deviation of the Y values. (Round off all
decimals to 1 decimal place.)
2) Make a graph of the data (x,y values)
3) Calculate the coefficient of correlation (r= ) to see how well the
data is lined up.
4) Find the regression line (best line to fit the data), y = mx + b.
5) Graph the regression line on the same graph as the data.
6) What is your conclusion on the security/safety of the world from
1992-2005, and how reliable is your conclusion?
1357m의
![2) Explain the issue of extrapolation. Give an example.
3) Suppose we know that P(A) = .46 and P(B) = .63
a) What is the smallest value that P(A Ç B) could possibly have?
b) What is the largest value that P(A Ç B) could possibly have?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F283c98b8-58fa-42c0-808c-55595b01a56a%2Fa0443066-4bb2-418a-9090-32e1358d1a39%2Fcicjvg_processed.jpeg&w=3840&q=75)
Transcribed Image Text:2) Explain the issue of extrapolation. Give an example.
3) Suppose we know that P(A) = .46 and P(B) = .63
a) What is the smallest value that P(A Ç B) could possibly have?
b) What is the largest value that P(A Ç B) could possibly have?
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How do I calculate these problems
![2) Explain the issue of extrapolation. Give an example.
3) Suppose we know that P(A) = .46 and P(B) = .63
a) What is the smallest value that P(A Ç B) could possibly have?
b) What is the largest value that P(A Ç B) could possibly have?](https://content.bartleby.com/qna-images/question/75b11a37-1d7d-4faf-958f-8b982170970a/2c9c7b54-ed6c-4359-a3eb-2d447bf17856/17wqdf_thumbnail.jpeg)
Transcribed Image Text:2) Explain the issue of extrapolation. Give an example.
3) Suppose we know that P(A) = .46 and P(B) = .63
a) What is the smallest value that P(A Ç B) could possibly have?
b) What is the largest value that P(A Ç B) could possibly have?
Solution
Follow-up Question
Can I get help with question 3
![2) Explain the issue of extrapolation. Give an example.
3) Suppose we know that P(A) = .46 and P(B) = .63
a) What is the smallest value that P(A Ç B) could possibly have?
b) What is the largest value that P(A Ç B) could possibly have?](https://content.bartleby.com/qna-images/question/75b11a37-1d7d-4faf-958f-8b982170970a/efd2da4e-e1c4-4ca0-a700-3c561daf9299/vkctsur_thumbnail.jpeg)
Transcribed Image Text:2) Explain the issue of extrapolation. Give an example.
3) Suppose we know that P(A) = .46 and P(B) = .63
a) What is the smallest value that P(A Ç B) could possibly have?
b) What is the largest value that P(A Ç B) could possibly have?
Solution
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