Math 143 B/D
Introduction to Probability and Statistics
Fall, 2009

*Course information links

Course syllabus
Course calendar
Homework assignments
KnightVision (exam solutions, etc.)
Technology:
StatCrunch
short guide to the software
clickable Moore datasets (will open up in StatCrunch)
Guidebooks for TI graphing calculators: 83 | 83-Plus/Silver Ed. | 85 | 86 | 89/92-Plus | 89-Titanium
Professor Scofield's homepage (See for a current list of office hours)
Formulas: Sheet for Final Exam

* Applets

Distributions of univariate data
Some targeted examples from BPS4
Histograms: effect of adjusting bin size
Mean vs. median
Sampling
Simple random sample
Distribution of simulated dice rolls
Reese's Pieces: distribution of a sample proportion
Sampling distribution of a sample mean
Probability
Probability as long-term relative frequency
Let's Make a Deal simulations
normal approximation to binomial distribution: Rice applet | BPS applet
Normal probabilities:
How changing the parameters changes the distribution
Area in the “tails”
Central limit theorem: Normal approximation to the Sample Mean
Law of Large Numbers
Two quantitative variables
Some targeted BPS4e examples
Correlation game
Regression by Eye
Influence of points on the regression line
Explore relationship between scatterplot, regression line and residuals
Inference
Confidence interval for a single population mean: Rice applet | BPS applet
Tests of significance: illustration | the P-value | statistical significance
1-way ANOVA
Illustrating the concept of the power of a test
Miscellaneous
2-asset portfolios
Resources for these and other demonstrations
WH Freeman Publishers: applets to accompany BPS4e
Rice Virtual Lab in Statistics
istics.net
Seeing Statistics

* W.H. Freeman (our text's publisher) BPS-related links

Extra chapters
Chapter 26: Nonparametric Tests
Chapter 27: Statistical Process Control
Chapter 28: Multiple Regression
Chapter 29: Two-Way ANOVA
Answers to odd exercises
BPS Tables and Formulas card
Errata in 3rd printing of BPS, 4th Ed.

* Handouts (from 143 taught with another textbook)

Some worksheets distributed during the semester:
Worksheet 1 on data
Worksheet 2 on (sample) standard deviation. Answers
Worksheet 3 on normal distributions. Answers
Worksheet 4, a first look at regression. Answers
Worksheet 5 on random sampling.
Worksheet 6 on t distributions.
Worksheet 7 on inference for population means (1-sample t).
Worksheet 8 on two-way tables.
Worksheet 9, a first look at regression. Answers
Handouts used in previous semesters (when, perhaps, another textbook was used)
One-sample t procedures for means
1-sample z procedures for proportions; 2-sample procedures for means and proportions
Summary sheet of formulas for 1 and 2-sample procedures
Chi-squared tests
ANOVA
Inference practice problems and their solutions
Simple linear regression analysis
General questions to help guide studying for final exam

* Tips for studying and policies: Group work and integrity | Reading the textbook

* Miscellany: Grading codes

* Other software links

R website
R is powerful free statistical software which may be installed on your own computer. The professor will not provide general instruction to the class on its use. You may, however, familiarize yourself with it on your own, and use it to do homework.
Mozilla homepage, for its latest Firefox web browser
Get the latest version of Adobe's Acrobat Reader

This page maintained by: Thomas L. Scofield
Department of Mathematics and Statistics, Calvin College

Last Modified: Friday, 11-Dec-2009 14:37:30 EST