Publications by JORIELYN S. MANLA
Problem Set #6
library(aod) library(ggplot2) Example: A researcher is interested in how variables, such as GRE (Graduate Record Exam scores), GPA (grade point average) and prestige of the undergraduate institution, effect admission into graduate school. The response variable, admit/don’t admit, is a binary variable. Load data The dataset has a binary res...
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Laboratory Exercise 4
Given Data PROBLEM: An experiment was conducted to determine if either firing temperature or furnace position affects the baked density of a carbon anode. The data are shown below. Position 800°C 825°C 850°C 1 570 1063 565 1 565 1080 510 1 583 1043 590 2 528 988 526 2 547 1026 538 2 521 1004...
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Problem Set #5
Introduction Manipulating the Data Multiple Linear Regression Creating the Regression Model Interpreting the Regression Model Looking at the Model’s Output Correlation/Coefficient of Determination Mean Squared Error Hypothesis Test/T-test F-test Coefficient Confidence Intervals Model Assumptions Residual Analysis Transformations Reducing...
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Problem Set #5
Introduction Manipulating the Data Multiple Linear Regression Creating the Regression Model Interpreting the Regression Model Looking at the Model’s Output Correlation/Coefficient of Determination Mean Squared Error Hypothesis Test/T-test F-test Coefficient Confidence Intervals Model Assumptions Residual Analysis Transformations Reducing...
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Midterm Exam
Question 1. Consider the data set given below x<-c(0.22, -2.54, 0.52, 0.75, 25) # and weights given by w<-c(2, 1, 3, 1, 2) # Give the value of mu that minimizes the least squares equation Answer: The least squares equation is sum((x - mu)^2). x = c(0.22, -2.54, 0.52, 0.75, 25) w = c(2, 1, 3, 1, 2) mu = sum(x * w) / sum(w) cat("The value of ...
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Laboratory Exercise 3: LSD
II. Given Data PROBLEM: An industrial engineer is investigating the effect of four assembly methods (A, B, C, D) on the assembly time for a color television component. Four operators are selected for the study. Furthermore, the engineer knows that each assembly method produces such fatigue that the time required for the last assembly may be gre...
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Problem Set #2
page 16 1. Take the Galton dataset and find the mean, standard deviation and correlation between the parental and child heights. child parent 1 61.7 70.5 2 61.7 68.5 3 61.7 65.5 4 61.7 64.5 5 61.7 64.0 6 62.2 67.5 child parent Min. :61.70 Min. :64.00 1st Qu.:66.20 1st Qu.:67.50 Medi...
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Problem Set No. 2
page 16 1. Take the Galton dataset and find the mean, standard deviation and correlation between the parental and child heights. data<-data(galton) head(galton) child parent 1 61.7 70.5 2 61.7 68.5 3 61.7 65.5 4 61.7 64.5 5 61.7 64.0 6 62.2 67.5 summary(galton) child parent Min. :61.70 Min. ...
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Laboratory Exercise 2: Randomized Complete Block Design (RCBD)
II. Given Data PROBLEM: Three different washing solutions are being compared to study their effectiveness in retarding bacteria growth in 5-gallon milk containers. The analysis is done in a laboratory, and only three trials can be run on any day. Because days could represent a potential source of variability, the experimenter decides to use a ...
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STAT 55: LAB. EXERCISE 1
Exploratory Data Analysis: I. Descriptive Statistic ## Datus$Batch: 1 ## Batch Calcontent ## Min. :1 Min. :23.39 ## 1st Qu.:1 1st Qu.:23.40 ## Median :1 Median :23.46 ## Mean :1 Mean :23.46 ## 3rd Qu.:1 3rd Qu.:23.48 ## Max. :1 Max. :23.56 ## --------------------------------------------...
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