HOMEWORK 4 UPDATED

.docx

School

University Of Connecticut *

*We aren’t endorsed by this school

Course

5603

Subject

Industrial Engineering

Date

Apr 3, 2024

Type

docx

Pages

Uploaded by UltraExplorationGiraffe29

This assignment is done by FAZAL FAZAL AND VEDA VYAAS BOORLA PROBLEM 1 clearwatch = data.frame(clearwatch) clearwatch P=prop.table(table(clearwatch$Fashion,clearwatch$Functionality)) P total_customers= length(clearwatch$Customer) total_customers #1a pa= sum(clearwatch$Fashion>clearwatch$Functionality) pa p1=pa/total_customers p1 #1b pb=sum(clearwatch$Functionality>clearwatch$Fashion) pb p2=pb/total_customers p2 #1c sum(P["Blue Sky",]) #1d sum(P[,"Blue Sky"]) #1e P["Blue Sky","Blue Sky"] #1f sum(P["Blue Sky",]) - P["Blue Sky","Blue Sky"] #1g sum(P[,"Blue Sky"])- P["Blue Sky","Blue Sky"] #1h sum(P["Blue Sky",])+ sum(P[,"Blue Sky"]) - P["Blue Sky","Blue Sky"] #1i sum(P["Blue Sky",])-P["Green Nature","Blue Sky"] #1j sum(P["Blue Sky",])-P["Blue Sky","Green Nature"]

PROBLEM 2 #2a prob.table <- table(Tracy$Years) / sum(table(Tracy$Years)) Prob= data.frame(prob.table) Prob prob1 = sum(prob.table[names(prob.table) >= 5]) prob1 prob2 = sum(prob.table[names(prob.table) <= 5]) prob2 prob3 = sum(prob.table[names(prob.table) > 3 & names(prob.table) <= 7]) prob3 #2b mean(Tracy$Car) median(Tracy$Car) sd(Tracy$Car) max(Tracy$Car) min(Tracy$Car) range= max(Tracy$Car)- min(Tracy$Car) range

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