Stats tester mini vs Art of Stat

### Features of this app ### 1. By using Stats tester mini, you can perform some statistics tests and obtain graphs by an easy operation. 2. Since one sample group (multiple data) is entered in one window, it is very easy to enter or edit the data. 3. Unlike other test apps, not only final conclusions such as p-values, but also intermediate results are shown. 4. Input data and test results can be recorded by sharing (mail, memo). There is no need to make notes on paper. 5. You can import data by copy/paste from apps such as Excel, Numbers, memo, etc. 6. Numerical input is very easy with the built-In ten-keyboard (phone and calculator layouts). 7. This app has been fully verified to work with the M1 Mac. The M1 Mac makes it easy to work with other apps (Numbers, Excel etc.). ## how to use ## Each test screen has [Help], [Example], [Graph], [Calc], [Clear] and [Share] Buttons. On the "How to use this app" screen, details such as its features and specifications are written. ### Statistic methods ### Below are the statistical methods in Stats tester mini. (The upgraded version "Stats tester plus" offers 18 more methods.) 1. Mean, SD, Skewness, Kurtosis, etc. 1) Arithmetic, Geometric and Harmonic means 2) Standard Deviation (2) 3) Standard Error of the mean (sem) 4) 95 and 99% Confidence interval (CI) 5) Sum 6) Sum of Square 7) Variance, Unbiased variance 8) Coefficient of variation (%CV) 9) Skewness (2) 10) Kurtosis (3) 11) Graph 2. Median, Range, Quartiles and Boxplot. 1) Median 2) Maximum 3) Minimum 4) 1st Quartile 5) 3rd Quartile 6) Quartile Deviation 7) Boxplot Graph 3. One-Sample t-Test (to Specified Mean) 1) Mean 2) Standard deviation (2) 3) Standard error of the mean (sem) 4) One-sample t-test --> p value 5) Confidence interval (CI) 6) Graph 4. Two-Sample t-Test (Student's and Welch's t-Tests) 1) Mean 2) Standard deviation (2) 3) Standard error of the mean (sem) 4) Student t-test --> p value 5) Welch's procedure --> p value 6) Graph 5. Paired-Sample t-test 1) Mean 2) Standard error of the mean (sem) 3) Paired t-test --> p value 4) Graph 6. One-Way Analysis of Variance (ANOVA) 1) Mean 2) Standard error of the mean (sem) 3) Analysis of variance --> p value 4) ANOVA table 5) Graph 7. Linear Regression and Test for Pearson Correlation Coefficient 1) Correlation coefficient 2) Regression coefficient (Linear Regression) 3) Coefficient of determination 4) Test for correlation coefficient --> p value 5) Graph 8. Shapiro-Wilk Test (Normality) and Q-Q Plot 1) Kurtosis α4 (α4=3 --> normal distribution) 2) Shapiro-Wilk test --> p value 3) Q-Q Plot (Normal probability plot) graph 9. Chi-Square Test (2X2 Independence) ### Acknowledgment ## DGChartst library distributed under the Apache 2.0 license was utilized to make graphs. https://github.com/danielgindi/Charts http://www.apache.org/licenses/LICENSE-2.0.html

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.