Publications by Kathryn Vernon, Muneeb Ul Qayyum, Raegan Conklin
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3.7. The tensile strength of Portland cement is being studied. Four different mixing techniques can be used economically. A completely randomized experiment was conducted and the following data were collected: tech1 <- c(3129, 3000, 2865, 2890) tech2 <- c(3200, 3300, 2975, 3150) tech3 <- c(2800 ,2900, 2985, 3050) tech4 <- c( 2600 ,2700, 2600...
3157 sym R (4653 sym/21 pcs) 11 img
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3.7 tech1 <- c(3129, 3000, 2865, 2890) tech2 <- c(3200, 3300, 2975, 3150) tech3 <- c(2800 ,2900, 2985, 3050) tech4 <- c( 2600 ,2700, 2600 ,2765) technique <- c(tech1[1:length(tech1)],tech2[1:length(tech2)]) dafr <- data.frame(tech1,tech2,tech3,tech4) dafr2 <- cbind(stack(dafr[1:4])) atest <- aov(values~ind,dafr2) (c) Use the Fisher LSD ...
3323 sym R (3702 sym/15 pcs) 9 img
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1. A chemist wishes to test the effect of four chemical agents on the strength of a particular type of cloth. Because there might be variability from one bolt to another, the chemist decides to use a randomized block design, with the bolts of cloth considered as blocks. She selects five bolts and applies all four chemicals in random order to each...
2427 sym R (1397 sym/6 pcs)
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The effect of five different ingredients (A, B, C, D, E) on the reaction time of a chemical process is being studied. Each batch of new material is only large enough to permit five runs to be made. Furthermore, each run requires approximately 1.5 hours, so only five runs can be made in one day. The experimenter decides to run the experiment as a ...
1574 sym R (1334 sym/4 pcs)
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4.3 A chemist wishes to test the effect of four chemical agents on the strength of a particular type of cloth. Because there might be variability from one bolt to another, the chemist decides to use a randomized block design, with the bolts of cloth considered as blocks. She selects five bolts and applies all four chemicals in random order to eac...
2752 sym R (2204 sym/6 pcs)
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5.3 An engineer suspects that the surface finish of a metal part is influenced by the feed rate and the depth of cut. He selects three feed rates and four depths of cut. He then conducts a factorial experiment and obtains the following data: feedrate <- c(rep(.2,12),rep(.25,12),rep(.30,12)) depth <- rep(c(.15,.18,.2,.25),9) results <- c(74 ,79 ...
2609 sym R (5160 sym/22 pcs) 4 img
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a) Propose a data collection layout with a randomized run order We used the design function in R for creating a \(2^4\) factorial design. Each factor (A,B,C,D) has two settings: A: Pin Elevation (Position 1 or Position 3) B: Bungee Position (Position 2 or Position 3) C: Release Angle (\(140^\circ\) or \(170^\circ\)) D: Ball Type (Yellow Foam or R...
2189 sym R (1943 sym/10 pcs) 2 img
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14.3. A manufacturing engineer is studying the dimensional variability of a particular component that is produced on three machines. Each machine has two spindles, and four components are randomly selected from each spindle. The results follow. Analyze the data, assuming that machines and spindles are fixed factors. According to Dr.Matis’s vid...
815 sym R (935 sym/4 pcs) 1 img
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Summary of Data We are going to first read in the data from a github site and display the data. dat<-read.csv("https://raw.githubusercontent.com/tmatis12/datafiles/main/US_Japanese_Cars.csv",fileEncoding="UTF-8-BOM") knitr::kable(dat) USCars JapaneseCars 18 24 15 27 18 27 16 25 17 31 15 35 14 24 14 19 14 28 15 23 15 27 14 20 15 22 ...
1277 sym R (1197 sym/6 pcs) 1 img 1 tbl
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Load in the SkuMaster.csv dataset.This dataset shows things such as shelf life, Lead time, method of transport, and method of packaging plus more data1 <- (read.csv("https://raw.githubusercontent.com/vernonkat/Coursework/main/HW3SKU%20Master.csv",fileEncoding="UTF-8-BOM")) We would only like to consider those observations for which the Cubic Feet...
3211 sym R (1908 sym/14 pcs) 11 img