Art of Stat: Inference 4+

Name: Art of Stat: Inference
Author: Bernhard Klingenberg

Bernhard Klingenberg

Diseñada para iPad

- Gratis
- Ofrece compras dentro de la app

Descripción

For students and teachers of statistics.

The Art of Stat: Inference app provides:

- Inference for Proportions
+ one sample (z-test)
+ two independent samples (two sample z-test)
+ two dependent samples (McNemar)

- Inference for Means
+ one sample (t-test)
+ two independent samples (two-sample t-test)
+ two dependent samples (paired t-test)
+ several means (One-way ANOVA)

- Chi-Square Test
+ Goodness of Fit (one sample)
+ Independence/Homogeneity (contingency table)

- Data Editor
+ Create or edit datasets

Unlock all modules for a one-time small fee!

Entering your own data is easy:
If you just have a few observations (or if you have the summary statistics), simply type them in. For larger datasets, upload a CSV file of your raw data to a cloud account (such as iCloud or Google Drive) or email the file to yourself and save it on your device. Then, open the CSV file in the app and select the variables for your analysis. You can also simply copy & paste raw data from a spreadsheet app (such as Numbers on iOS or Google sheets).

To illustrate all methods, several example datasets are provided for each procedure.

The results are stunning:
The app provides relevant plots (side-by-side or stacked bar charts, boxplots, histograms) and computes and visualizes confidence intervals and P-values for testing hypotheses. All relevant information (such as standard errors, margin of errors, z- or t-scores and degrees of freedom) are clearly displayed and labeled. The P-value is visualized on a graph for the normal, t-, Chi-Squared or F-distribution.

Developed for both students and teachers as a handy tool for carrying out basic statistical inference and visualize results on the fly.

The app works in on- and offline mode (the app indicates that it is in offline mode with a large green banner), which makes it suitable for exams.

Easily share your results by taking screenshots.

10 dic 2024

Versión 2.0.0

Methods for Two Dependent Samples:
+ Paired t-test for comparing two means
+ Mc Nemar's test for comparing two proportions

Bernhard Klingenberg, que desarrolló esta app, indicó que entre las prácticas de privacidad de la app, pueden incluirse el manejo de datos que se describe a continuación. Para obtener detalles, consulta la política de privacidad del desarrollador.