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Critical values of the Chi-square distribution with d degrees of freedom Probability of exceeding the critical value 0.05 0.01 0.001 d 3.841 6.635 10.828 5.991 9.210 13.816 7.815 11.345 16.266 9.488 13.277 18.467 11.070 15.086 20.515 12.592 16.812 22.458 14.067 18.475 24.322 15.507 20.090 26.125 16.919 21.666 27.877 18.307 23.209 29.588 INTRODUCTION TO POPULATION GENETICS, Table D.1. 2013 SA d 1 2 3 4 5 6 7 8 9 10 0.05 0.01 0.001 11 19.675 24.725 31.264 12 21.026 26.217 32.910 13 22.362 27.688 34.528 14 23.685 29.141 36.123 15 24.996 30.578 37.697 16 26.296 32.000 39.252 27.587 33.409 40.790 17 28.869 34.805 42.312 30.144 36.191 43.820 20 31.410 37.566 45.315 18 19 A chi-squared test was done. The degrees of freedom was 3 and the chi-squared test statistic calculated was 7.5. Based on critical values and a traditional (0.05) alpha level of significance, what is the interpretation of these results? Oreject the null hypothesis fail to roiect the pull bypothesis

Critical values of the Chi-square distribution with d degrees of freedom Probability of exceeding the critical value 0.05 0.01 0.001 d 3.841 6.635 10.828 5.991 9.210 13.816 7.815 11.345 16.266 9.488 13.277 18.467 11.070 15.086 20.515 12.592 16.812 22.458 14.067 18.475 24.322 15.507 20.090 26.125 16.919 21.666 27.877 18.307 23.209 29.588 INTRODUCTION TO POPULATION GENETICS, Table D.1. 2013 SA d 1 2 3 4 5 6 7 8 9 10 0.05 0.01 0.001 11 19.675 24.725 31.264 12 21.026 26.217 32.910 13 22.362 27.688 34.528 14 23.685 29.141 36.123 15 24.996 30.578 37.697 16 26.296 32.000 39.252 27.587 33.409 40.790 17 28.869 34.805 42.312 30.144 36.191 43.820 20 31.410 37.566 45.315 18 19 A chi-squared test was done. The degrees of freedom was 3 and the chi-squared test statistic calculated was 7.5. Based on critical values and a traditional (0.05) alpha level of significance, what is the interpretation of these results? Oreject the null hypothesis fail to roiect the pull bypothesis

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Critical values of the Chi-square distribution with d degrees of freedom Probability of exceeding the critical value d 0.05 0.01 0.001 d 1 3.841 6.635 10.828 2 5.991 9.210 13.816 3 7.815 11.345 16.266 4 9.488 13.277 18.467 5 11.070 15.086 20.515 6 12.592 16.812 22.458 14.067 18.475 24.322 7 8 9 15.507 20.090 26.125 16.919 21.666 27.877 10 18.307 23.209 29.588 INTRODUCTION TO POPULATION GENETICS, Table D.1 0.05 0.01 0.001 11 19.675 24.725 31.264 12 21.026 26.217 32.910 13. 22.362 27.688 34.528 14 23.685 29.141 36.123 15 24.996 30.578 37.697 16 26.296 32.000 39.252 18 19 17 27.587 33.409 40.790 28.869 34.805 42.312 30.144 36.191 43.820 20 31.410 37.566 45.315 A chi-squared test was done. The degrees of freedom was 3 and the chi-squared test statistic calculated was 7.5. Based on critical values and a traditional (0.05) alpha level of significance, what is the interpretation of these results? reject the null hypothesis fail to reject the null hypothesis not enough information is given
Transcribed Image Text:Critical values of the Chi-square distribution with d degrees of freedom Probability of exceeding the critical value d 0.05 0.01 0.001 d 1 3.841 6.635 10.828 2 5.991 9.210 13.816 3 7.815 11.345 16.266 4 9.488 13.277 18.467 5 11.070 15.086 20.515 6 12.592 16.812 22.458 14.067 18.475 24.322 7 8 9 15.507 20.090 26.125 16.919 21.666 27.877 10 18.307 23.209 29.588 INTRODUCTION TO POPULATION GENETICS, Table D.1 0.05 0.01 0.001 11 19.675 24.725 31.264 12 21.026 26.217 32.910 13. 22.362 27.688 34.528 14 23.685 29.141 36.123 15 24.996 30.578 37.697 16 26.296 32.000 39.252 18 19 17 27.587 33.409 40.790 28.869 34.805 42.312 30.144 36.191 43.820 20 31.410 37.566 45.315 A chi-squared test was done. The degrees of freedom was 3 and the chi-squared test statistic calculated was 7.5. Based on critical values and a traditional (0.05) alpha level of significance, what is the interpretation of these results? reject the null hypothesis fail to reject the null hypothesis not enough information is given
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