). The lower arm Limb amputees are about 30000 in city which classified Q51 by level into: Amputee level Hemipelvectomy Hip Disarticulation (HP) Transfemoral TF (Above Knee AKA) Knee Disarticulation (KD) Transtibial TT (Below Knee BKA) Quantities 325 195 4670 1320 8420 Ankle Disarticulation 6420 Symes Partial Foot PF (Chopart) Toe amputation And according to the ages: 2304 3150 3196 Patient age Quantities 10 to less than 20 1110 20 to less than 30 11230 30 to less than 40 8300 40 to less than 5 5450 50 to less than 60 2230 60 to less than 70 1680 1- Variation and standard deviation of the level statistics 2- Variation and standard deviation of the age groups statistics
). The lower arm Limb amputees are about 30000 in city which classified Q51 by level into: Amputee level Hemipelvectomy Hip Disarticulation (HP) Transfemoral TF (Above Knee AKA) Knee Disarticulation (KD) Transtibial TT (Below Knee BKA) Quantities 325 195 4670 1320 8420 Ankle Disarticulation 6420 Symes Partial Foot PF (Chopart) Toe amputation And according to the ages: 2304 3150 3196 Patient age Quantities 10 to less than 20 1110 20 to less than 30 11230 30 to less than 40 8300 40 to less than 5 5450 50 to less than 60 2230 60 to less than 70 1680 1- Variation and standard deviation of the level statistics 2- Variation and standard deviation of the age groups statistics
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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