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Q2) In the following table (A), FBI 2012 data for violent crimes is reported by sex of offenders and the sex of victims. a) What is the independent variable? sex of offender b) How many errors of prediction will be made if the independent variable is ignored? 5940-5360 = 580. c) How many fewer errors will be made if the independent variable is taken into account?

Q2) In the following table (A), FBI 2012 data for violent crimes is reported by sex of offenders and the sex of victims. a) What is the independent variable? sex of offender b) How many errors of prediction will be made if the independent variable is ignored? 5940-5360 = 580. c) How many fewer errors will be made if the independent variable is taken into account?

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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I had a question on how to calculate the E1 and E2 in lambda and how to answer Q2. parts b and c. I'm confused on which is which and how to calculate each. 

Q2) In the following table (A), FBI 2012 data for violent crimes is reported by sex of offenders and the sex of victims. a) What is the independent variable? sex of offender b) How many errors of prediction will be made if the independent variable is ignored? 5940 - 5360 - 580 c) How many fewer errors will be made if the independent variable is taken into account? d) Calculate lambda. Interpret the result. e) Calculate Lambda for Table B comparing sex of victim vs race (Table B). Interpret the result. f) Which relationship is stronger: the one for sex of offenders/victims or race of offenders/victims? Table A Sex of Victim Male Female Total Sex of Offender Male 1600 3760 5360 Female 140 440 580 Total 1740 4200 5940
Transcribed Image Text:Q2) In the following table (A), FBI 2012 data for violent crimes is reported by sex of offenders and the sex of victims. a) What is the independent variable? sex of offender b) How many errors of prediction will be made if the independent variable is ignored? 5940 - 5360 - 580 c) How many fewer errors will be made if the independent variable is taken into account? d) Calculate lambda. Interpret the result. e) Calculate Lambda for Table B comparing sex of victim vs race (Table B). Interpret the result. f) Which relationship is stronger: the one for sex of offenders/victims or race of offenders/victims? Table A Sex of Victim Male Female Total Sex of Offender Male 1600 3760 5360 Female 140 440 580 Total 1740 4200 5940
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