Last revised: Decmeber 8, 2015
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- December 3: I added a few R commands to the Short List of Useful R Commands
- October 20: Youngshil's office hours will be Wednesday Oct 21, 10-11am.
- October 1:
- Summary of Hypothesis Tests (part 1)
- List of topics and terms covered (possibily incomplete)
- Aug 14: Short List of Useful R Commands This is an edited version of short list of useful commands that I found on the web. This will be useful for doing homework, labs, etc.
- I removed the homework assignment after class and put up a slightly revised one this morning (Friday). The changes are small
- I suggest buying the textbook from an online company.
- We will be using R for statistical computing which is FREE. You can download it from https://www.r-project.org.
- Coin toss simulation and properties of binomial distribution. Also illustrates effect of sample size on accuracy of estimation. There is an example of the use of a function written to save a bit of work.
- Coin toss simulation using a function which is a more streamlined version of the one above.
- Birthday problem and using a loop.
- Graphing Data
- Pie Charts. There are two examples of pie charts, as well as a bar chart.
- Shows how to do graphs discussed in notes on graphing. They don't look exactly like the ones in the notes, but same types of graphs.
- More on Histograms. This also illustrates effect of sample size, draw from a random normal distribution, how to overlay a normal distribution, and put multiple plots on a single psge.
- Descriptive Statistics
- Probability Distributions
- Sampling Distributions
- In Lecture exercises on Sampling Distributions.
R code: to be done in class
- Confidence Intervals
- Hypothesis Testing
- Hypothesis Testing: Comparing two groups
- Hypothesis Testing for 2 groups (review). Bring
laptop (preferable) or hand calculator and be ready to solve some problems.
- Answers to problems in lecture. This will be posted
R code: (posted after class): Examples in lecture.
- Hypothesis Testing: Comparing two categorical variables
- Analysis of Variance: Comparing two or more means.
- Association and Regression.
- Multiple Association and Regression.
Materials for Labs