# App on Mobile Phones

For those of you who need a 24/7 statistics tutor, you can find our Statistics Professor app on iPhone, Blackberry and Android.

The app is offered at a price of \$2.99.

Please see  http://itunes.apple.com/us/app/statistics!/id482878387?mt=8 for more detailed information.

Screenshots of Statistics Professor App on iPhone

Description of Statistics Professor App

Designed by a Columbia University Biostatistics Ph.D. and author of “Hierarchical models: What the data are really telling us”, this app provides tables and examples that have been helping researchers and students learn statistics over the past decade.

A wide variety of statistical tests are covered from parametric tests(one sample z, one sample t, two sample t, paired t, analysis of variance:ANOVA) to nonparametric (Wilcoxon rank sum, Wilcoxon signed rank, chi-square, Fisher’s exact, McNemar’s, Kruskal-Wallis, and Mantel-Haenszel).

For each statistical test, a helpful table is provided that outlines the concept behind the test, the keywords or key idea used to identify the specific type of test, as well as the form of the hypothesis statement related to the test. This is followed by the presentation of the test statistic and an example. The examples shown in the app outline in detail exactly how the test is used starting with the set-up of the data set and hypothesis statement, to a detailed step by step breakdown of the statistical formula and importantly, what its result means.

This statistics app is designed to make learning statistics a much easier process by presenting the key concepts clearly and in an easy to follow fashion. A solid foundation in statistics is required for a wide variety of fields ranging from finance to medicine, psychology to sociology. Whether you are a researcher or student, this app can serve as a valuable reference to help you correctly decide on the choice of statistical test to meet your goals.

The updated 1.04 version has added

•           Regression models
•           Linear regression
•           Logistic regression
• Survival analysis (Cox proportional hazards regression)
• Sections on Data and Model Building Tips and Rules. These are details often overlooked by researchers and can lead to potentially serious consequences.