SchoolStat vs Art of Stat

Simple easy to use statistics program for students of high schools, colleges and universities. Adapted from SchoolStat for Macintosh released originally in 1989. Aims to facilitate teaching of introductory statistics and to be a useful tool for statistical computations anywhere an iPhone can go. - Enter data into a fully functional spreadsheet with thousands of rows and columns, name the columns and perform statistical computations with results stored in the log panel. - Spreadsheet includes functions for trigonometry, table & cell access, maths, statistics, strings, logical, date, time, financial and matrix manipulations (>180 in total). Resize cells, zoom and swipe to scroll, file saving/opening and emailing. Series and sorting functions. Quick sum, average, min, max. Intuitive cell editing and selection. - Spreadsheet also supports cut/copy/paste and shake to undo. - One, two or multiple sample statistics available for named columns including descriptive, confidence intervals, correlation, linear regression, sign test, Wilcoxon paired test, Paired t-test, Mann-Whitney U test, Student's independent t-test, Kolmogorov-Smirnov test, One-way ANOVA, Kruskal-Wallis test. - Odds ratio and sensitivity/specificity testing. - Create graphical displays using box plots, pie chart, stem & leaf displays, histograms, linear or scatter plots. - Visualise "active" probability tables for multiple distributions to aid understanding of parameter changes for beta, binomial, Cauchy, chi square, exponential, F-, gamma, geometric, hypergeometric, logistic, lognormal, normal, Poisson, t-, Weibull distributions. - Static tables available for chi-square, F-, Inverse normal and normal, Kruskal Wallis, Mann-Whitney, T- and Wilcoxon distributions. - Log window supports annotation, text cut/copy/paste, file saving/opening/emailing, addition of time/date stamp and is automatically saved. - Graph window creates pdf resolution independent files, which can be copied, and file saving/opening/emailing. - Full help descriptions for all functions and sample spreadsheet files accompanying quick tutorial.

News: The Explore Data app is now part of the all new Art of Stat app, which contains this and seven other modules. Please consider getting the Art of Stat app for the latest updates and features: https://apps.apple.com/us/app/art-of-stat/id6755374228 ------ The Art of Stat: Explore Data app includes statistical methods for exploring categorical and quantitative data. Obtain summary statistics, contingency tables or correlation coefficients and easily generate bar- and pie charts, histograms, boxplots (including side-by-side boxplots), dotplots or interactive scatterplots that let you color dots by a third variable. Several example datasets are preloaded for you to explore (including instructions on the statistical analysis), but you can also enter your own data or import a CSV file from a cloud account. The following methods are implemented: - Analyzing One Categorical Variable - Comparing Groups on a Categorical Variable - Analyzing the Relationship Between Two Categorical Variables - Analyzing One Quantitative Variable - Comparing Groups on a Quantitative Variable - Analyzing the Relationship Between Two Quantitative Variables (Linear Regression) The app provides: - Frequency tables and bar and pie charts for exploring one categorical variable. - Contingency tables, conditional proportions and side-by-side or stacked bar charts for exploring a categorical variable across several groups or the association between two categorical variables. - Mean, standard deviation and the 5-number summary together with histograms, boxplots and dotplots to explore a quantitative variable. - Side-by-side boxplots, stacked histograms or density plots for comparing a quantitative variable across several groups. - Interactive scatterplots with regression lines to analyze the relationship between two quantitative variables. Correlation statistics and linear regression parameters and predictions. Plots of raw and studentized residuals. The app comes with several example datasets preloaded, which you can directly open in the app to explore the app's various features. You can also type in your own data or upload your own CSV file (which any spreadsheet program can create) and select variables from it. Finally the app includes a basic spreadsheet program called Data Editor to create and edit data. You can also copy & paste data from a spreadsheet app such as Google Sheets, Excel or Apple’s Numbers app. Several sample datasets are provided.