0.485 0.599 0.794 0.989 1.239 1.690 2.167 2.833 3.822 5.493 0.710 0.972 0.857 1.104 1.344 1.647 2.180 2.700 2.733 3.325 3.490 4.594 6.423 1.152 1.450 1.735 2.088 4.168 5.380 7.357 10 1.265 1.479 1.827 2.156 2.558 3.247 3.940 4.865 6.179 8.295 11 1.587 1.834 2.232 2.603 3.053 3.816 4.575 5.578 6.989 9.237 12 1.935 2.214 2.661 3.074 3.571 4.404 5.226 6.304 7.807 10.182 13 2.305 2.617 3.112 3.565 4.107 5.009 5.892 7.041 8.634 11.129 14 2.697 3.041 3.582 4.075 4.660 5.629 6.571 7.790 9.467 12.078 15 3.107 3.483 4.070 4.601 5.229 6.262 7.261 8.547 10.307 13.030 16 3.536 3.942 4.573 5.142 5.812 6.908 7.962 9.312 11.152 13.983 17 3.980 4.416 5.092 5.697 6.408 7.564 8.672 10.085 12.002 14.937 18 4.439 4.905 5.623 6.265 7.015 8.231 9.390 10.865 12.857 15.893 19 4.913 5.407 6.167 6.844 7.633 8.907 10.117 11.651 13.716 16.850 20 5.398 5.921 6.723 7.434 8.260 9.591 10.851 12.443 14.578 17.809 21 5.895 6.447 7.289 8.034 8.897 10.283 11.591 13.240 15.445 18.768 22 6.404 6.983 7.865 8.643 9.542 10.982 12.338 14.041 16.314 19.729 23 6.924 7.529 8.450 9.260 10.196 11.689 13.091 14.848 17.187 20.690 24 7.453 8.085 9.044 9.886 10.856 12.401 13.848 15.659 18.062 21.652 7 001 eG 40 OG 4G 10 590 11 531 12 120 14 611 16 472 18010
0.485 0.599 0.794 0.989 1.239 1.690 2.167 2.833 3.822 5.493 0.710 0.972 0.857 1.104 1.344 1.647 2.180 2.700 2.733 3.325 3.490 4.594 6.423 1.152 1.450 1.735 2.088 4.168 5.380 7.357 10 1.265 1.479 1.827 2.156 2.558 3.247 3.940 4.865 6.179 8.295 11 1.587 1.834 2.232 2.603 3.053 3.816 4.575 5.578 6.989 9.237 12 1.935 2.214 2.661 3.074 3.571 4.404 5.226 6.304 7.807 10.182 13 2.305 2.617 3.112 3.565 4.107 5.009 5.892 7.041 8.634 11.129 14 2.697 3.041 3.582 4.075 4.660 5.629 6.571 7.790 9.467 12.078 15 3.107 3.483 4.070 4.601 5.229 6.262 7.261 8.547 10.307 13.030 16 3.536 3.942 4.573 5.142 5.812 6.908 7.962 9.312 11.152 13.983 17 3.980 4.416 5.092 5.697 6.408 7.564 8.672 10.085 12.002 14.937 18 4.439 4.905 5.623 6.265 7.015 8.231 9.390 10.865 12.857 15.893 19 4.913 5.407 6.167 6.844 7.633 8.907 10.117 11.651 13.716 16.850 20 5.398 5.921 6.723 7.434 8.260 9.591 10.851 12.443 14.578 17.809 21 5.895 6.447 7.289 8.034 8.897 10.283 11.591 13.240 15.445 18.768 22 6.404 6.983 7.865 8.643 9.542 10.982 12.338 14.041 16.314 19.729 23 6.924 7.529 8.450 9.260 10.196 11.689 13.091 14.848 17.187 20.690 24 7.453 8.085 9.044 9.886 10.856 12.401 13.848 15.659 18.062 21.652 7 001 eG 40 OG 4G 10 590 11 531 12 120 14 611 16 472 18010
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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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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