Just a few links to let Math 113 students find websites from class with a minimum of typing.
More will be added as the semester progresses.

### JAVA APPLETS

• Moore's BPS Applets - Web resources for the fourth edition of David Moore's Basic Practice of Statistics text. Click on the Applets link.
• Histogram - check the effect of bin size on Old Faithful data (Webster West - S. Carolina).
• N=111 Exams Histogram - apply Webster's sliding bin size to our class example.
• Calculating normal probabilities - just click or slide the boundaries to find the probability of the shaded region - or try the more Accurate Normal Calculator where you enter the endpoints numerically.  Both applets are demos from Gary McClelland's Seeing Statistics project.
• Guessing Correlations - a neat "game" to show the relationship between correlations and scatterplots  Click on the "Correlation" box to play. Part of the CUWU Statistical Program at Illinois-Champaign-Urbana. See how many you can match without missing. If the link doesn't work, try a local version on the T:drive.
• Drawing a Regression Line by "Eye" Click the "Begin" box to bring up a scatterplot.  Use your mouse to draw a line on the scatterplot.  The MSE error is computed (i.e. "average" squared error).  Check the minimum MSE and see how close you can get.  Click the box to see the least squares line.  You can also guess and check the correlation.  This applet is part of the Rice Virtual Lab in Statistics. (Note:  Netscape 4.06 or better is required for Java 1.1)
• Influence in Regression - see the effects of adding an outlier to a least squares line. (Webster West - S. Carolina).
• Normal Approximation to Count data - see how the distribution of counts(binomial) in a sample relate to the sample size (n) and proportion (p).  Note:  The sample proportion is just count/n so this helps see how well the normal curve fits the sampling distribution of a sample proportion.  Try it for n=12 and p=0.1, 0.2, 0.4, 0.5, 0.6, 0.8, and 0.9. (Rice Virtual Lab in Statistics)
• Confidence Interval Simulator - (CUWU Statistical Program)  You will first need to define your "population" by specifying the values and their probabilities.
• For a quick demo, choose the "Die" option and a number of sides. Click on "Accept Box" to see the population model.
• To simulate CI's for a proportion, choose the "Coin" option and specify the population p. Again click on the "Accept Box" to see the population model.
• Click on the "Confidence Intervals" button, then specify n, CI level and the number of intervals to simulate.
• Confidence Interval Simulator - (Rice Virtual lab in Statistics).  Simulates samples of size n=10, 15, or 20 from a population with mean 50 and st. dev. 10.  Window shows conficence intervals for 100 samples, highlighting those that miss 50 at a 95% or 99% level. (Note:  Netscape 4.06 or better is required for Java 1.1)

### DATA SOURCES

• DataSurfing - Links to intereseting data sources on the Web.
• Sports Data Page  - Links to current and archived data related to various sports.

### OUR TEXT

• W.H. Freeman has a website to support David Moore's Basic Practice of Statistics. Look for online quizzes, datasets (in Minitab format), and a pfd version of the formula card.
Last updated on 09/05/99