Understanding p-value – statistics help
This video explains how to use the p-value to draw conclusions from statistical output. It includes the story of Helen, making sure that the choconutties she sells have sufficient peanuts.
Types of Data: Nominal, Ordinal, Interval/Ratio - Statistics Help
If you really want to understand types of data, along with appropriate statistics and graphs, this video can help.
Choosing which statistical test to use – statistics help
Seven different statistical tests and a process by which you can decide which to use. The tests are: Test for a mean, test for a proportion, difference of proportions, difference of two means - independent samples, difference of two means - paired, chi-squared test for independence and regression. This video draws together all the CreativeHeuristics videos about Helen, her brother, Luke and the choconutties.
For a 2x2 contingency table
For two groups of subjects, each sorted according to the absence or presence of some particular characteristic or condition, this page will calculate standard measures for Rates, Risk Ratio, Odds, Odds Ratio, and Log Odds.
2-way Contingency Table Analysis
This page computes various statistics from a 2-by-2 table. It will calculate the Yates-corrected chi-square, the Mantel-Haenszel chi-square, the Fisher Exact Test, and other indices relevant to various special kinds of 2-by-2 tables:
- analysis of risk factors for unfavorable outcomes (odds ratio, relative risk, difference in proportions, absolute and relative reduction in risk, number needed to treat)
- analysis of the effectiveness of a diagnostic criterion for some condition (sensitivity, specificity, prevalence, pos & neg predictive values, adjusted predictive values, pos & neg likelihood ratios, diagnostic and error odds ratios)
- measures of inter-rater reliability (% correct or consistent, mis-classification rate, kappa, Forbes' NMI)
- other measures of association (contingency coefficient, Cramer's phi coefficient, Yule's Q)
The Comprehensive R Archive Network
R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc.
Online statistics education: An interactive multimedia course of study
Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.
- State the null hypothesis tested concerning contingency tables
- Compute expected cell frequencies
- Compute Chi Square and df
- Understand what it means for a distribution to balance on a fulcrum
- Learn which measure of central tendency will balance a distribution.
- Define basic terms including hinges, H-spread, step, adjacent value, outside value, and far out value
- Create a box plot
- Create parallel box plots
- Determine whether a box plot is appropriate for a given data set