Problem 6: Calculate the chi squared contingency table analysis for each set of summary data (top right of the raw data) using the Basic Statistics Calculator For each matrix, report the chi-square value (x2), the degrees of freedom (df), and the probability (p) Date Jun-08 Year Month Census River Crab pots Temp Conduct Salinity DO pH Adult Male dult Femal Juv Males luv Female Total Crab: % Juv % Fem 2008 6 1 Ash 0 27.95 27.00 16.99 4.63 6.99 29 5 20 7 61 0.44 0.20 Jun-08 2008 6 1 Com 0 29.47 26.26 16.53 4.71 7.07 36 2 37 21 96 0.60 0.24 Jun-08 2008 6 1 Eds 0 29.33 26.53 17.05 7.09 7.32 2 2 53 15 72 0.94 0.24 Sep-08 2008 9 2 Ash 93 24.89 35.06 22.32 6.72 7.29 46 10 45 34 135 0.59 0.33 Sep-08 2008 9 2 Com 154 28.34 31.67 20.12 5.26 7.15 57 21 28 13 119 0.34 0.29 Sep-08 2008 9 2 Eds 40 27.15 25.73 16.61 7.51 7.27 9 23 8 9 49 0.35 0.65 Dec-08 2008 12 3 Ash 72 12.29 18.10 11.38 8.49 7.28 30 8 46 33 117 0.68 0.35 Dec-08 2008 12 3 Com 33 12.54 21.69 13.64 8.75 7.37 52 9 37 35 133 0.54 0.33 Dec-08 2008 12 3 Eds 28 11.33 18.57 11.90 9.07 7.30 6 6 8 9 29 0.59 0.52 Mar-09 2008 3 4 Ash 32 16.49 15.16 9.48 7.67 6.94 11 3 110 40 164 0.91 0.26 Mar-09 2008 3 4 Com 116 16.83 16.23 10.11 7.60 7.06 2 3 36 12 53 0.91 0.28 Mar-09 2008 3 4 Eds 154 16.82 16.52 10.53 8.45 6.93 3 9 11 10 33 0.64 0.58 Jun-09 2009 6 5 Ash 108 28.88 15.12 9.27 3.64 6.88 21 4 23 18 66 0.62 0.33 Jun-09 2009 6 5 Com 221 27.90 15.63 9.61 4.40 6.95 12 9 19 13 53 0.60 0.42 Jun-09 2009 6 5 Eds 35 27.89 15.28 9.65 5.07 7.07 3 7 5 3 18 0.44 0.56 Sep-09 2009 9 6 Ash 77 26.56 29.19 18.36 5.18 7.04 28 5 30 14 77 0.57 0.25 Sep-09 2009 9 6 Com 69 27.68 33.86 21.47 5.30 7.00 23 4 33 18 78 0.65 0.28 Sep-09 2009 9 6 Eds 20 27.18 24.85 15.91 7.55 7.22 6 5 38 15 64 0.83 0.31 Dec-09 2009 12 7 Ash 38 12.88 25.29 15.87 14.32 6.53 34 2 12 8 56 0.36 0.18 Dec-09 2009 12 7 Com 163 12.87 23.77 15.05 14.81 6.52 7 3 10 8 28 0.64 0.39 Dec-09 2009 12 7 Eds 91 13.43 14.15 9.01 16.14 6.60 6 14 7 20 47 0.57 0.72 Mar-10 2009 3 8 Ash 39 13.44 14.14 8.87 10.24 6.73 17 4 77 29 127 0.83 0.26 Mar-10 2009 3 8 Com 83 13.94 12.46 7.55 10.53 6.95 15 5 48 28 96 0.79 0.34 Mar-10 2009 3 8 Eds 87 13.57 17.65 11.31 10.71 6.96 10 3 8 8 29 0.55 0.38 Jun-10 2010 6 9 Ash 148 30.26 25.59 16.20 3.90 7.27 36 35 111 63 245 0.71 0.40 Jun-10 2010 6 9 Com 150 30.71 28.02 17.54 3.94 7.18 19 6 42 12 79 0.68 0.23 Jun-10 2010 6 9 Eds 31 29.88 22.96 18.41 5.05 7.33 8 8 57 18 91 0.82 0.29 Sep-10 2010 9 10 Ash 167 28.04 21.22 13.27 3.22 7.41 41 16 24 77 158 0.64 0.59 Sep-10 2010 9 10 Com 116 28.48 27.71 17.41 3.71 7.50 48 35 21 24 128 0.35 0.46 Sep-10 2010 9 10 Eds 83 28.11 24.33 15.70 5.47 7.65 22 6 29 22 79 0.65 0.35 Dec-10 2010 12 11 Ash 61 11.31 30.22 19.40 9.35 7.03 28 1 17 2 48 0.40 0.06 Dec-10 2010 12 11 Com 72 12.19 35.51 22.89 8.75 6.81 17 6 15 9 47 0.51 0.32 Dec-10 2010 12 11 Eds 35 11.03 24.53 15.91 10.02 7.03 12 6 15 8 41 0.56 0.34 Mar-11 2010 3 12 Ash 24 15.95 17.78 11.23 7.20 6.63 15 2 25 9 51 0.67 0.22 Mar-11 2010 3 12 Com 91 15.69 20.30 12.76 7.41 6.31 1 1 20 7 29 0.93 0.28 Mar-11 2010 3 12 Eds 30 14.51 22.75 14.76 8.05 6.78 3 15 7 11 36 0.50 0.72
Problem 6: Calculate the chi squared contingency table analysis for each set of summary data (top right of the raw data) using the Basic Statistics Calculator For each matrix, report the chi-square value (x2), the degrees of freedom (df), and the probability (p) Date Jun-08 Year Month Census River Crab pots Temp Conduct Salinity DO pH Adult Male dult Femal Juv Males luv Female Total Crab: % Juv % Fem 2008 6 1 Ash 0 27.95 27.00 16.99 4.63 6.99 29 5 20 7 61 0.44 0.20 Jun-08 2008 6 1 Com 0 29.47 26.26 16.53 4.71 7.07 36 2 37 21 96 0.60 0.24 Jun-08 2008 6 1 Eds 0 29.33 26.53 17.05 7.09 7.32 2 2 53 15 72 0.94 0.24 Sep-08 2008 9 2 Ash 93 24.89 35.06 22.32 6.72 7.29 46 10 45 34 135 0.59 0.33 Sep-08 2008 9 2 Com 154 28.34 31.67 20.12 5.26 7.15 57 21 28 13 119 0.34 0.29 Sep-08 2008 9 2 Eds 40 27.15 25.73 16.61 7.51 7.27 9 23 8 9 49 0.35 0.65 Dec-08 2008 12 3 Ash 72 12.29 18.10 11.38 8.49 7.28 30 8 46 33 117 0.68 0.35 Dec-08 2008 12 3 Com 33 12.54 21.69 13.64 8.75 7.37 52 9 37 35 133 0.54 0.33 Dec-08 2008 12 3 Eds 28 11.33 18.57 11.90 9.07 7.30 6 6 8 9 29 0.59 0.52 Mar-09 2008 3 4 Ash 32 16.49 15.16 9.48 7.67 6.94 11 3 110 40 164 0.91 0.26 Mar-09 2008 3 4 Com 116 16.83 16.23 10.11 7.60 7.06 2 3 36 12 53 0.91 0.28 Mar-09 2008 3 4 Eds 154 16.82 16.52 10.53 8.45 6.93 3 9 11 10 33 0.64 0.58 Jun-09 2009 6 5 Ash 108 28.88 15.12 9.27 3.64 6.88 21 4 23 18 66 0.62 0.33 Jun-09 2009 6 5 Com 221 27.90 15.63 9.61 4.40 6.95 12 9 19 13 53 0.60 0.42 Jun-09 2009 6 5 Eds 35 27.89 15.28 9.65 5.07 7.07 3 7 5 3 18 0.44 0.56 Sep-09 2009 9 6 Ash 77 26.56 29.19 18.36 5.18 7.04 28 5 30 14 77 0.57 0.25 Sep-09 2009 9 6 Com 69 27.68 33.86 21.47 5.30 7.00 23 4 33 18 78 0.65 0.28 Sep-09 2009 9 6 Eds 20 27.18 24.85 15.91 7.55 7.22 6 5 38 15 64 0.83 0.31 Dec-09 2009 12 7 Ash 38 12.88 25.29 15.87 14.32 6.53 34 2 12 8 56 0.36 0.18 Dec-09 2009 12 7 Com 163 12.87 23.77 15.05 14.81 6.52 7 3 10 8 28 0.64 0.39 Dec-09 2009 12 7 Eds 91 13.43 14.15 9.01 16.14 6.60 6 14 7 20 47 0.57 0.72 Mar-10 2009 3 8 Ash 39 13.44 14.14 8.87 10.24 6.73 17 4 77 29 127 0.83 0.26 Mar-10 2009 3 8 Com 83 13.94 12.46 7.55 10.53 6.95 15 5 48 28 96 0.79 0.34 Mar-10 2009 3 8 Eds 87 13.57 17.65 11.31 10.71 6.96 10 3 8 8 29 0.55 0.38 Jun-10 2010 6 9 Ash 148 30.26 25.59 16.20 3.90 7.27 36 35 111 63 245 0.71 0.40 Jun-10 2010 6 9 Com 150 30.71 28.02 17.54 3.94 7.18 19 6 42 12 79 0.68 0.23 Jun-10 2010 6 9 Eds 31 29.88 22.96 18.41 5.05 7.33 8 8 57 18 91 0.82 0.29 Sep-10 2010 9 10 Ash 167 28.04 21.22 13.27 3.22 7.41 41 16 24 77 158 0.64 0.59 Sep-10 2010 9 10 Com 116 28.48 27.71 17.41 3.71 7.50 48 35 21 24 128 0.35 0.46 Sep-10 2010 9 10 Eds 83 28.11 24.33 15.70 5.47 7.65 22 6 29 22 79 0.65 0.35 Dec-10 2010 12 11 Ash 61 11.31 30.22 19.40 9.35 7.03 28 1 17 2 48 0.40 0.06 Dec-10 2010 12 11 Com 72 12.19 35.51 22.89 8.75 6.81 17 6 15 9 47 0.51 0.32 Dec-10 2010 12 11 Eds 35 11.03 24.53 15.91 10.02 7.03 12 6 15 8 41 0.56 0.34 Mar-11 2010 3 12 Ash 24 15.95 17.78 11.23 7.20 6.63 15 2 25 9 51 0.67 0.22 Mar-11 2010 3 12 Com 91 15.69 20.30 12.76 7.41 6.31 1 1 20 7 29 0.93 0.28 Mar-11 2010 3 12 Eds 30 14.51 22.75 14.76 8.05 6.78 3 15 7 11 36 0.50 0.72
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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Problem 6: Calculate the chi squared contingency table analysis for each set of summary data (top right of the raw data)
For each matrix, report the chi-square value (c2), the degrees of freedom (df), and the probability (p)
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