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X: 13. Internet and Nobel Laureates Listed below are numbers of Internet users per 100 people and numbers of Nobel Laureates per 10 million people (from Data Set 16 “Nobel Laureates and Chocolate" in Appendix B) for different countries. Is there sufficient evidence to conclude that there is a linear correlation between Internet users and Nobel Laureates?

X: 13. Internet and Nobel Laureates Listed below are numbers of Internet users per 100 people and numbers of Nobel Laureates per 10 million people (from Data Set 16 “Nobel Laureates and Chocolate" in Appendix B) for different countries. Is there sufficient evidence to conclude that there is a linear correlation between Internet users and Nobel Laureates?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 24PFA
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Suestion 29, using the large data set, (Question 13 in given for reference) QUESTION 13 IS JUST FOR REFERENCE XE 13. Internet and Nobel Laureates Listed below are numbers of Internet users per 100 people and numbers of Nobel Laureates per 10 million people (from Data Set 16 “Nobel Laureates and Chocolate" in Appendix B) for different countries. Is there sufficient evidence to conclude that there is a linear correlation between Internet users and Nobel Laureates? L. 29. Internet and Nobel Laureates Repeat Exercise 13 using all of the paired Internet/Nobel data listed in Data Set 16 “Nobel Laureates and Chocolate" in Appendix B. 29. Internet and Nobel Laureates Use all of the paired Internet/Nobel data listed in Data Set 16 “Nobel Laureates and Chocolate" in Appendix B. COUNTRY CHOCOLATE NOBEL POPULATION INTERNET Australia 4.5 5.5 22 79.5 Austria 10.2 24.3 79.8 Belgium 4.4 8.6 11 78 Brazil 2.9 0.1 197 45 Canada 3.9 6.1 34 83 China 0.7 0.1 1344 38.3 Denmark 8.5 25.3 6 90 Finland 7.3 7.6 89.4 France 6.3 9 65 79.6 Germany 11.6 12.7 82 83 Greece 2.5 1.9 11 53 Ireland 8.8 12.7 76.8 Italy 3.7 3.3 61 56.8 Japan 1.8 1.5 128 79.1 Netherlands 4.5 11.4 17 92.3 Norway 9.4 25.5 94 Poland 3.6 3.1 39 64.9 Portugal 2 1.9 11 57.8 Spain 3.6 1.7 46 67.6 Sweden 6.4 31.9 94 Switzer land 11.9 31.5 8 85.2 UK 9.7 18.9 63 86.8 USA 5.3 10.8 312 77.9 Calculation Hypothesis Test Problem Type Disrtibution Null H_0: Alternative H_1: Notation Our Cartionaon Linear Correlation Two tail Student (t) Hypothesis rho= rho neg Given Significance alpha Sample Size n= Point Estimate Critical Values Critical Value talpha/2 #NUM! #NUM! Test Statistic Standard Error SE #NUM! Test Statistic test #NUM! Condussion Reject the null, O oor
Transcribed Image Text:Suestion 29, using the large data set, (Question 13 in given for reference) QUESTION 13 IS JUST FOR REFERENCE XE 13. Internet and Nobel Laureates Listed below are numbers of Internet users per 100 people and numbers of Nobel Laureates per 10 million people (from Data Set 16 “Nobel Laureates and Chocolate" in Appendix B) for different countries. Is there sufficient evidence to conclude that there is a linear correlation between Internet users and Nobel Laureates? L. 29. Internet and Nobel Laureates Repeat Exercise 13 using all of the paired Internet/Nobel data listed in Data Set 16 “Nobel Laureates and Chocolate" in Appendix B. 29. Internet and Nobel Laureates Use all of the paired Internet/Nobel data listed in Data Set 16 “Nobel Laureates and Chocolate" in Appendix B. COUNTRY CHOCOLATE NOBEL POPULATION INTERNET Australia 4.5 5.5 22 79.5 Austria 10.2 24.3 79.8 Belgium 4.4 8.6 11 78 Brazil 2.9 0.1 197 45 Canada 3.9 6.1 34 83 China 0.7 0.1 1344 38.3 Denmark 8.5 25.3 6 90 Finland 7.3 7.6 89.4 France 6.3 9 65 79.6 Germany 11.6 12.7 82 83 Greece 2.5 1.9 11 53 Ireland 8.8 12.7 76.8 Italy 3.7 3.3 61 56.8 Japan 1.8 1.5 128 79.1 Netherlands 4.5 11.4 17 92.3 Norway 9.4 25.5 94 Poland 3.6 3.1 39 64.9 Portugal 2 1.9 11 57.8 Spain 3.6 1.7 46 67.6 Sweden 6.4 31.9 94 Switzer land 11.9 31.5 8 85.2 UK 9.7 18.9 63 86.8 USA 5.3 10.8 312 77.9 Calculation Hypothesis Test Problem Type Disrtibution Null H_0: Alternative H_1: Notation Our Cartionaon Linear Correlation Two tail Student (t) Hypothesis rho= rho neg Given Significance alpha Sample Size n= Point Estimate Critical Values Critical Value talpha/2 #NUM! #NUM! Test Statistic Standard Error SE #NUM! Test Statistic test #NUM! Condussion Reject the null, O oor
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