Stat Trek

 

Statistics, Probability, and Survey Sampling

The goal of this web site is to help you solve common statistical problems - quickly, easily, and accurately - without having to ask anyone for help.

  • Free statistics tutorials cover the central ideas of basic statistics: probability, distributions, sampling theory, estimation, hypothesis testing, and survey sampling -- all explained in plain English.

  • Analytical tools eliminate computational drudgery. Everything is online and easy to use. Frequently-asked questions and sample exercises steer you clear of potential problems.

  • Online statistics glossary takes the mystery out of statistical jargon. To access the glossary, simply click the Help link at the top of any Stat Trek web page.

A few of Stat Trek's training aids and analytical tools are described below. To see the complete list of products and services, click here.


Free Statistics Tutorials: Teach Yourself

Are you baffled by binomials, puzzled by proportions, dazed by distributions, or just plain stymied by statistics? Stat Trek's on-line statistics tutorials can help. One tutorial covers statistics, probability, and survey sampling. The other tutorial focuses exclusively on topics covered by the Advanced Placement (AP*) Statistics examination. Both tutorials are set up to get you productive as quickly and painlessly as possible. Topics are introduced in short, easy-to-understand modules. And, best of all, the tutorials are free. > Learn more


On-Line Statistical Tools: Fast, Easy, and Free

Retrieve information quickly and easily from standard statistical tables. Count combinations and permutations. Compute probabilities and confidence intervals. Whether you need a z-score, a t-score, a probability, a cumulative probability, a list of random numbers, or other statistical information, Stat Trek's on-line statistical tools will make the task quick and easy. > Learn more


Cost-Effective Survey Sampling

What sample size do I need? Will it provide the precision I require? Which sampling method is best? How should I allocate sample to strata or to clusters? Would a different design be cheaper or offer more precision? If these questions sound familiar, then you need the Sample Planning Wizard. This on-line tool allows you to easily compare different sampling methods and different sample allocation plans to develop the most cost-effective survey sample design for your study. > Learn more


Pass the AP* Statistics Exam: Earn College Credit

Each year, the College Board administers a standardized test called the Advanced Placement Statistics Examination. The exam, which is open to everyone, assesses proficiency in introductory statistics. Students who score well earn credit for college-level courses. To pass the test, you need a good study guide, the right calculator, and a willingness to study hard. Stat Trek can help you identify the best study guide and calculator, so all you have to do is study. > Learn more


Free, Informative Email Newsletter

Don't be without Stat Trek's flagship email newsletter - an easy-to-read source of proven analytical strategies and tips that you can put to use with confidence. Find the right techniques for valid, effective analysis. Identify strengths and weaknesses of your research. Conduct cost-effective research. Send no money - We're too busy to bill you. > Subscribe now



*   AP and Advanced Placement Program are registered trademarks of the College Board, which was not involved in the production of, and does not endorse this web site.

Acknowledgments

We wish to express our appreciation to those who assisted in the development of this web site. We are particularly grateful to the following folks.

  • Many thanks to Peter J. Acklam, who wrote the algorithm for the Normal distribution. He has generously shared that algorithm, and you can access it at: http://home.online.no/~pjacklam/notes/invnorm.

  • We are also grateful to Geoffrey C. Barnes, Ph.D, who wrote a helpful VB.Net implementation of the Acklam algorithm.

  • A big tip of the hat to Justus Randolph for discovering and helping to correct an annoying bug in the Stat Trek program.

  • And we are indebted to Ian Smith for alerting us to a problem with the chi square calculator and for his practical suggestions to fix the problem.




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