When there are more than two possibilities for one or more of our variables, we must use Chi-Squared.b) Perform a Chi-Squared test on the data below to determine whether a student's grade in Statistics isindependent of their eye color.eye colorbluegreen19brown14437gradeB2096031C2056233other1424117Ho:H1:X (Chi-Squared) =df =p-value =Reject Ho or Fail to reject HoConclusion (in a sentence or two):c) Perform a Chi-Squared test on the data below to determine whether a student’s grade in Statistics isindependent of the last math class they passed before taking Statistics.Last Math ClassCollege Algebra,Trig., or Precalc62IntermediateCalculusAlgebra78A60gradeВ11516421206886.other1018613Ho:H1:X (Chi-Squared) :df =p-value =Reject Ho or Fail to reject HoConclusion (in a sentence or two): For data that can be arranged in a 2 x 2 matrix, we can use Chi-Squared to test independence, or treat it as a comparison oftwo binomial probabilities from two populations. We only knew to use the two proportion t-test in Assignment 27.10. Wethen learned in the video that you were supposed to view before starting this assignment to perform a test for independenceusing chi-squared.This is the same data from Assignment 27.10. Perform a hypothesis test to determine, "Do we havestatistically significant evidence that gun ownership and views on the death penalty are independent?"Suppose we asked the (self described) head-of-household in 180 Alaska households two questions:"Does your family own a gun?" And "Do you believe criminals who commit first degree murdershould face The Death Penalty?"In our sample, 100 households owned a gun and 70them favored the death penalty.Of the remaining 80 households who did not own a gun, 44 favored the death penalty.The data are summarized in the table below.Owns a GunYesNoTotalFavors the DeathYes7044114Penalty for MurderersNo303666Total10080180a) Using the Chi-Squared Test for Independence. Can we conclude that gun ownership and deathpenalty views are NOT independent?Ho: View of Death Penalty is Independent of gun OwnershipH1: The factors are not IndependentX* (Chi-Squared) =df =p-value =Reject Ho or Fail to reject HoConclusion (in a sentence or two):Explain to someone who hasn't had a Statistics class what it means to say that thesefactors are (or are not) independent.Note: All tests (this one and the test from Assignment 27.10) should have the same p-value.The Chi-Squared value is the square of the z-score.

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Description: When there are more than two possibilities for one or more of our variables, we must use Chi-Squared.b) Perform a Chi-Squared test on the data below to determine whether a student's grade in Statistics isindependent of their eye color.eye colorblueg

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The data are summarized in the table below. Owns a Gun Yes No Total Favors the Death Yes 70 44 114 Penalty for Murderers No 30 36 66 Total 100 80 180 a) Using the Chi-Squared Test for Independence. Can we conclude that gun ownership and death penalty views are NOT independent? Ho: View of Death Penalty is Independent of gun Ownership H1: The factors are not Independent

The data are summarized in the table below. Owns a Gun Yes No Total Favors the Death Yes 70 44 114 Penalty for Murderers No 30 36 66 Total 100 80 180 a) Using the Chi-Squared Test for Independence. Can we conclude that gun ownership and death penalty views are NOT independent? Ho: View of Death Penalty is Independent of gun Ownership H1: The factors are not Independent

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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