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Student 1 Student 2 Student 3 Student 4 Age 22 24 35 19 1. Compute distance between student 1 and student 2. standing Undergrad Graduate Sophomore Freshman 2. Practice problem: compute dissimilarity matrix. Got in Trouble Did Not Get in Trouble 71 83 Boys 46 Girls 37 Test result P N N N Zip code 07102 09234 07102 07102 GPA 4 3.6 3.5 3 Owns Car 3. Is gender and getting in trouble at school (both nominal variables) are correlated? Below is the table documenting the raw numbers of boys and girls and their respective behavior issues (or lack thereof): Is this correlation statistically significant with 5% significance level? Y IN Y Y

Student 1 Student 2 Student 3 Student 4 Age 22 24 35 19 1. Compute distance between student 1 and student 2. standing Undergrad Graduate Sophomore Freshman 2. Practice problem: compute dissimilarity matrix. Got in Trouble Did Not Get in Trouble 71 83 Boys 46 Girls 37 Test result P N N N Zip code 07102 09234 07102 07102 GPA 4 3.6 3.5 3 Owns Car 3. Is gender and getting in trouble at school (both nominal variables) are correlated? Below is the table documenting the raw numbers of boys and girls and their respective behavior issues (or lack thereof): Is this correlation statistically significant with 5% significance level? Y IN Y Y

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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Student 1 Student 2 Student 3 Student 4 Age 22 Boys Girls 24 35 19 1. Compute distance between student 1 and student 2. standing Undergrad Graduate Sophomore Freshman 2. Practice problem: compute dissimilarity matrix. 46 37 Got in Trouble Did Not Get in Trouble 71 83 Test result P IN IN IN Zip code 07102 09234 07102 07102 GPA 4 3.6 3.5 3 Owns Car Y IN 3. Is gender and getting in trouble at school (both nominal variables) are correlated? Below is the table documenting the raw numbers of boys and girls and their respective behavior issues (or lack thereof): Is this correlation statistically significant with 5% significance level? Y Y
Transcribed Image Text:Student 1 Student 2 Student 3 Student 4 Age 22 Boys Girls 24 35 19 1. Compute distance between student 1 and student 2. standing Undergrad Graduate Sophomore Freshman 2. Practice problem: compute dissimilarity matrix. 46 37 Got in Trouble Did Not Get in Trouble 71 83 Test result P IN IN IN Zip code 07102 09234 07102 07102 GPA 4 3.6 3.5 3 Owns Car Y IN 3. Is gender and getting in trouble at school (both nominal variables) are correlated? Below is the table documenting the raw numbers of boys and girls and their respective behavior issues (or lack thereof): Is this correlation statistically significant with 5% significance level? Y Y
Σ Σ 11 \frac{(1+d_{ij}^{\left(f\right)})\ldots\left(1+d^{}_{ij}_{}^{\left(6\right)}\right)}{6} d(¹) (i, j) = 2 = d(2) (i, j)=1=1 d(3) (i, j) = 1=1-0|| d(4) (i, j) = 1=1 2.06 Q2 d(5) (i, j) = .4=√/14 - 3.6|² d(6) (i, j) 11-0 == Q3 student 1 student 2 Francesco Bettinardi Sep 29, 2022 student 3 student 4 (1+2)+(1+1)+(1+1)+(1+1)+(.4+1)+(1+1) 6 46 Get in Trouble Boys Girls Total 83 122 - 241² (1-2)² (46-40.97)² 30.97 Z=3.84 117-83 237 = 40.97 120-83 3727³ = 42.03 + student 1 + 0 2.1 4.125 1.5 (71-76.03)² (37-42.03)² 76.03 42.03 Dont Get in trouble Total x² = 2.07 not statistaclly significant(not correlated 71 117-154 76.03 117 237 83 120-15477.97 120 154 237 + 237 student 2 = 10 (83-77.97)² 77.97 2.82 1.92 = 2.07 = x² student 3 10 5.83 student 4 lo 0 ⠀
Transcribed Image Text:Σ Σ 11 \frac{(1+d_{ij}^{\left(f\right)})\ldots\left(1+d^{}_{ij}_{}^{\left(6\right)}\right)}{6} d(¹) (i, j) = 2 = d(2) (i, j)=1=1 d(3) (i, j) = 1=1-0|| d(4) (i, j) = 1=1 2.06 Q2 d(5) (i, j) = .4=√/14 - 3.6|² d(6) (i, j) 11-0 == Q3 student 1 student 2 Francesco Bettinardi Sep 29, 2022 student 3 student 4 (1+2)+(1+1)+(1+1)+(1+1)+(.4+1)+(1+1) 6 46 Get in Trouble Boys Girls Total 83 122 - 241² (1-2)² (46-40.97)² 30.97 Z=3.84 117-83 237 = 40.97 120-83 3727³ = 42.03 + student 1 + 0 2.1 4.125 1.5 (71-76.03)² (37-42.03)² 76.03 42.03 Dont Get in trouble Total x² = 2.07 not statistaclly significant(not correlated 71 117-154 76.03 117 237 83 120-15477.97 120 154 237 + 237 student 2 = 10 (83-77.97)² 77.97 2.82 1.92 = 2.07 = x² student 3 10 5.83 student 4 lo 0 ⠀
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