# Resource Library

#### Statistical Topic

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• ### Against All Odds: 8. Normal Calculations

In this free online video program, "students will discover how to convert the standard normal and use the standard deviation; how to use a table of areas to compute relative frequencies; how to find any percentile; and how a computer creates a normal quartile plot to determine whether a distribution is normal. Vehicle emissions standards and medical studies of cholesterol provide real-life examples."
• ### Binomial Probabilities Calculator

The page will calculate the following: Exact binomial probabilities, Approximation via the normal distribution, Approximation via the Poisson Distribution. This page will calculate and/or estimate binomial probabilities for situations of the general "k out of n" type, where k is the number of times a binomial outcome is observed or stipulated to occur, p is the probability that the outcome will occur on any particular occasion, q is the complementary probability (1-p) that the outcome will not occur on any particular occasion, and n is the number of occasions.
• ### Probability and Statistics Object Library

This library contains a plethera of downloadable applets and the components of the applets for use by teachers and students of probability and statistics. These objects (both executable files and source code) can be downloaded, modified if desired, and reused.
• ### Rice Virtual Lab in Statistics

This site has a wide collection of statistical objects inluding an online textbook covering first-year non-calculus based statistics (e.g. Normal distribution, ANOVA, Chi-Square). There is a simulation/demonstration section containing Java Applets on these first-year topics (ANOVA, Binomial Distribution,Central Limit Theorem, Chi Square, Confidence Interval, Correlation, Central Tendency, Effect Size, Goodness of Fit, Histogram, Normal Distribution, Power, Regression, Repeated Measures, Restriction of Range, Sampling Distribution, Skew, t-test, Transformations). Additionally, this page contains links for 10 case studies covering the topics in the first-year statistics course. There is also a page with some basic statistical analysis tools that will aid in doing the computations.
• ### ** Regression

This applet from Statistical Java allows the user to generate bivariate data for analysis with simple linear regression. The page describes the equations used to generate the data and estimate the regression lines. Users manipulate data generated and create their own line of best fit to try and match the computer generated regression line. This page was formerly located at http://www.stat.vt.edu/~sundar/java/applets/Regression.html
• ### Virtual Laboratories in Probability and Statistics

This site consists of an integrated set of components that include expository text, applets, data sets, graphics, and other elements. Applets may also be used to build additional learning objects. The goal of this resource is to provide free, high quality, interactive, web-based resources for students and teachers of probability and statistics.
• ### Systematic reviews of non-experimental (observational) studies

This PowerPoint presentation discusses observational studies in relation to meta-analysis. It covers why they are used, bias, and other topics.
• ### Strategies for data analysis

This presentation on data analysis addresses observational studies and randomized controlled trials in two different sections. Types of studies are defined and examples of each study is given to emphasize the differences. Factors and variables are also discussed.
• ### Nonprobability Sampling

This site describes numerous methods of nonprobability sampling, including accidental, haphazard or convenience sampling and the many types of purposive methods.
• ### **Understanding ANOVA visually

Visual ANOVA is a simple little program that puts the theory on ANOVA into a simple visual whole. It assumes that you've read the Even if your understanding is incomplete at this time, it is worth playing with Visual ANOVA since that may clear up the big picture for you.