Computer Project

Computer Project. Computer projects are designed to be relevant to your success in the class. The result of computer simulation should be summarized, and each study question be answered in a form of report. Completed report assignment must be submitted to an appropriate dropbox in iLEARN before the deadline. The report submission must be a single file of either word document (.doc, or .docx) or pdf document (.pdf), which includes the summary of computer output, the graphs (if any), and your response to the simulation result as well as to the study question(s).

Project	Simulation/analysis by R/RStudio	Background and study question(s)
No.1	Monty Hall Problem	Assignment No.2
No.2	Capture-Recapture Problem	Assignment No.3
No.3	Spatial Distribution of IED	Assignment No.4
No.4	Summary Statistics, Exploratory Data Analysis, and see below for further instruction	Assignment No.6 & 7
No.5	Data Analysis Demo, and see below for the instruction	Assignment No.8

Data sets for assignment No.6 and No.7. Data sets are required in the case studies 1 and 2 of assignment No.6 and No.7. Here you need to create a data file by yourself, or to set a variable which stores the data directly in R.

• Case study 1: We can set the data as a vector of constant values, and store it directly into the variable X:

  X = c(4.2, 2.0, 3.6, 3.8, 2.6, 3.5, 3.2, 2.6, 2.5, 1.7, 3.3, 4.8)
  

• Case study 2: You need to download the data file chocolate.txt, and scan it to the variable X:

  X = scan(file.choose())
  

R code for assignment No.7. You may take advantage of the following R code in your data analysis: Download project05.R, and edit it to fit for each study question.

• Case Study 1: You will test whether the new process reduces the amount of trimmed aluminum or not.

  X = c(4.2, 2.0, 3.6, 3.8, 2.6, 3.5, 3.2, 2.6, 2.5, 1.7, 3.3, 4.8)
  mu0 = 3.5
  alt.status = "less"
  

• Case Study 2: You will test whether the manufacturer's claim is false or not.

  X = scan(file.choose())
  mu0 = 30
  alt.status = "greater"
  

Data sets for assignment No.8. Download the following data sets with respective sample R code files. Run R code, and explain and interpret what you find in the output.

1. bloodcell.txt (R code: bloodcell.R)
2. morning.txt, afternoon.txt (R code: service.R)
3. vo2max.txt (R code: vo2max.R)

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