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Youth admissions to correctional services, by age and sex 2019-2020 Age at admission 12 year old 13 year old 14 year old 15 year old 16 year old 17 year old 18 year old & more number 6 62 194 343 492 548 83 a) Explains the relationship or factor (cause and effect, common cause factor, inverse cause and effect relationship, etc.) in detail. b) Creates the normal distribution of data (histogram).

Youth admissions to correctional services, by age and sex 2019-2020 Age at admission 12 year old 13 year old 14 year old 15 year old 16 year old 17 year old 18 year old & more number 6 62 194 343 492 548 83 a) Explains the relationship or factor (cause and effect, common cause factor, inverse cause and effect relationship, etc.) in detail. b) Creates the normal distribution of data (histogram).

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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Youth admissions to correctional services, by age and sex 2019-2020 Age at admission 12 year old 13 year old 14 year old 15 year old 16 year old 17 year old 18 year old & more number 6 62 194 343 492 548 83 a) Explains the relationship or factor (cause and effect, common cause factor, inverse cause and effect relationship, etc.) in detail. b) Creates the normal distribution of data (histogram).
Transcribed Image Text:Youth admissions to correctional services, by age and sex 2019-2020 Age at admission 12 year old 13 year old 14 year old 15 year old 16 year old 17 year old 18 year old & more number 6 62 194 343 492 548 83 a) Explains the relationship or factor (cause and effect, common cause factor, inverse cause and effect relationship, etc.) in detail. b) Creates the normal distribution of data (histogram).
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