Statistics Professor for iOS

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Developer’s Description

Updated version!!Designed by a Columbia University Biostatistics Ph.D., this app provides tables and examples that have been helping researchers...

Updated version!!Designed by a Columbia University Biostatistics Ph.D., 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) tononparametric (Wilcoxon rank sum, Wilcoxon signed rank, chi-square, Fisher's exact, McNemar's, Kruskal-Wallis, and Mantel-Haenszel). ***************************************Version 1.04 has added:Regression modelsLinear regressionLogistic regressionSurvival analysis (Cox proportional hazards regression)as well as sections on Data and Model Building Tips and Rules. These are details often overlooked by researchers and can lead to potentially serious consequences. ****************************************For each statistical test or model, 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 app is designed to help you learn statistics using a straightforward approach by presenting the key concepts clearly and in an easy to follow fashion. 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.Your ratings and reviews are always appreciated and give us the incentive to develop future versions. Feel free to visit us at www.akissconsulting.com or www.statisticsconsult.com