A manufacturer of widgets finds that 8% of the widgets are defective when they come off the assembly line. A worker proposes a new assembly technique which he claims will reduce the percentage of delective Wlagets. His technique is tried on 240 randomly selected widgets and it turns out 13 are defective. Using the Minitab printout below, test to determine if the new assembly technique reduces thepercentage of defective widgets. Test at a = 0.01. Show all six steps to receive full credit.Test and Cl for One Proportion: Defective WidgetsMethodp: event proportionExact method is used for this analysis.Descriptive StatisticsN240Event Sample p13 0.054167TestNull hypothesisHo: p = 0.08Alternative hypothesis H1: p < 0.08P-Value0.08295% Upper Boundfor P0.084741 A manufacturer of widgets finds that 8% of the widgets are defective when they come off the assemblyline. A worker proposes a new assembly technique which he claims will reduce the percentage ofdefective widgets. His technique is tried on 240 randomly selected widgets and it turns out 13 aredefective. Using the Minitab printout below, test to determine if the new assembly technique reduces thepercentage of defective widgets. Test at a = 0.01. Show all six steps to receive full credit.Test and Cl for One Proportion: Defective WidgetsMethodp: event proportionExact method is used for this analysis.Descriptive Statistics95% Upper BoundN Event Sample p24013 0.054167for p0.084741TestNull hypothesisHo: p = 0.08Alternative hypothesis H₁: p<0.08P-Value0.082

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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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A manufacturer of widgets finds that 8% of the widgets are defective when they come off the assembly line. A worker proposes a new assembly technique which he claims will reduce the percentage of delective Wlagets. His technique is tried on 240 randomly selected widgets and it turns out 13 are defective. Using the Minitab printout below, test to determine if the new assembly technique reduces the percentage of defective widgets. Test at a = 0.01. Show all six steps to receive full credit. Test and Cl for One Proportion: Defective Widgets Method p: event proportion Exact method is used for this analysis. Descriptive Statistics N 240 Event Sample p 13 0.054167 Test Null hypothesis Ho: p = 0.08 Alternative hypothesis H1: p < 0.08 P-Value 0.082 95% Upper Bound for P 0.084741