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SHOW WORK (you can do this on a piece of paper and take a picture to insert or attached here): Say we want to test if the sex ratio in a large lecture hall class is significantly different from the global sex ratio, then use the table to determine if you reject the hypothesis that the sex ratios in this large lecture hall class are equal to the global sex ratio (50% male, 50% female) and make that statement about the differences or lack of differences at the end of your answer. Give the equation and calculate a Chi-Square value for the following data as part of your assessment (show work): Total males: 90 Total females: 110

SHOW WORK (you can do this on a piece of paper and take a picture to insert or attached here): Say we want to test if the sex ratio in a large lecture hall class is significantly different from the global sex ratio, then use the table to determine if you reject the hypothesis that the sex ratios in this large lecture hall class are equal to the global sex ratio (50% male, 50% female) and make that statement about the differences or lack of differences at the end of your answer. Give the equation and calculate a Chi-Square value for the following data as part of your assessment (show work): Total males: 90 Total females: 110

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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SHOW WORK (you can do this on a piece of paper and take a picture to insert or attached here): Say we want to test if the sex ratio in a large lecture hall class is significantly different from the global sex ratio, then use the table to determine if you reject the hypothesis that the sex ratios in this large lecture hall class are equal to the global sex ratio (50% male, 50% female) and make that statement about the differences or lack of differences at the end of your answer. Give the equation and calculate a Chi-Square value for the following data as part of your assessment (show work): Total males: 90 Total females: 110 Chi-Square Distrihurion Degrees of Freedon Probability (p) 0.95 0.90 0.02 0.80 0.70 0.13 0.50 020 0.10 2.71 4.60 6.25 7.78 0.30 0.05 3.84 0.01 0.001 10.83 13.82 16.27 46 I07 1.64 3.22 4.64 5.99 7.29 8.56 9.80 11 03 0.10 0.35 5.99 782 0.21 0.58 1.06 1.61 2.20 2.83 349 0.45 I01 0.71 1.42 2.20 3.00 1.39 2.37 921 11.34 2. 241 3. 3.66 13.28 0.71 1.14 1.63 2.17 2.73 3.36 4.35 5.35 6.35 4.88 606 949 18.47 20.52 22.46 24 32 26.12 4 1.65 15 09 1681 18.48 5. 2.34 9.24 11.07 10.64 12.02 12.59 3.07 382 3.83 4.67 5.53 7.23 8.38 6. 7. 14.07 4.39 7.34 9 52 13.36 13.51 20 .09
Transcribed Image Text:SHOW WORK (you can do this on a piece of paper and take a picture to insert or attached here): Say we want to test if the sex ratio in a large lecture hall class is significantly different from the global sex ratio, then use the table to determine if you reject the hypothesis that the sex ratios in this large lecture hall class are equal to the global sex ratio (50% male, 50% female) and make that statement about the differences or lack of differences at the end of your answer. Give the equation and calculate a Chi-Square value for the following data as part of your assessment (show work): Total males: 90 Total females: 110 Chi-Square Distrihurion Degrees of Freedon Probability (p) 0.95 0.90 0.02 0.80 0.70 0.13 0.50 020 0.10 2.71 4.60 6.25 7.78 0.30 0.05 3.84 0.01 0.001 10.83 13.82 16.27 46 I07 1.64 3.22 4.64 5.99 7.29 8.56 9.80 11 03 0.10 0.35 5.99 782 0.21 0.58 1.06 1.61 2.20 2.83 349 0.45 I01 0.71 1.42 2.20 3.00 1.39 2.37 921 11.34 2. 241 3. 3.66 13.28 0.71 1.14 1.63 2.17 2.73 3.36 4.35 5.35 6.35 4.88 606 949 18.47 20.52 22.46 24 32 26.12 4 1.65 15 09 1681 18.48 5. 2.34 9.24 11.07 10.64 12.02 12.59 3.07 382 3.83 4.67 5.53 7.23 8.38 6. 7. 14.07 4.39 7.34 9 52 13.36 13.51 20 .09
the equation and calculate a Chi-Square value for the following data as part of your assessment (show work): Total males: 90 Total females: 110 Chi-Square Distrihution 20 190u Freedon Probability (p) 0.95 0.004 0.90 0.80 0.70 0.15 0.50 0.20 1.64 0.30 0.10 2.71 0.01 0.001 10.83 0.05 0.02 384 0.10 0.35 0.71 1.14 0.21 0.58 0.71 1.42 2.20 3.00 1.39 2.37 3.36 4.35 5.35 6.35 7.34 8.34 2.41 4.60 .25 7.78 9.24 10.64 12.02 0.45 5.99 782 921 11.34 13 28 13.82 3 22 4.64 5.99 7.29 856 9.80 11 03 12.24 13.44 3. I01 1.66 16.27 1.06 4,88 6 06 7.23 8.38 4 1.65 18.47 20.52 22.46 24 12 26.12 27.88 9.49 1.61 2.34 11.07 15.09 1.63 2.17 2.73 3.32 2.20 2.83 3.49 4.17 3.07 382 4 59 5.38 3.83 467 5.33 6.39 7.27 Nansignificant 6. 1681 18.48 12.39 7. 1407 20 09 21.67 23 21 Significant 952 13.36 14.68 15.51 6. 10.65 16.92 3.94 4.86 6.18 9.34 11.78 15.99 18.31 29.59 DELL に 18G ||は1は
Transcribed Image Text:the equation and calculate a Chi-Square value for the following data as part of your assessment (show work): Total males: 90 Total females: 110 Chi-Square Distrihution 20 190u Freedon Probability (p) 0.95 0.004 0.90 0.80 0.70 0.15 0.50 0.20 1.64 0.30 0.10 2.71 0.01 0.001 10.83 0.05 0.02 384 0.10 0.35 0.71 1.14 0.21 0.58 0.71 1.42 2.20 3.00 1.39 2.37 3.36 4.35 5.35 6.35 7.34 8.34 2.41 4.60 .25 7.78 9.24 10.64 12.02 0.45 5.99 782 921 11.34 13 28 13.82 3 22 4.64 5.99 7.29 856 9.80 11 03 12.24 13.44 3. I01 1.66 16.27 1.06 4,88 6 06 7.23 8.38 4 1.65 18.47 20.52 22.46 24 12 26.12 27.88 9.49 1.61 2.34 11.07 15.09 1.63 2.17 2.73 3.32 2.20 2.83 3.49 4.17 3.07 382 4 59 5.38 3.83 467 5.33 6.39 7.27 Nansignificant 6. 1681 18.48 12.39 7. 1407 20 09 21.67 23 21 Significant 952 13.36 14.68 15.51 6. 10.65 16.92 3.94 4.86 6.18 9.34 11.78 15.99 18.31 29.59 DELL に 18G ||は1は
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