Art of Stat: Inference 4+

Name: Art of Stat: Inference
Author: Bernhard Klingenberg

Bernhard Klingenberg

專為 iPad 設計

- 免費
- 提供 App 內購買

簡介

The Art of Stat: Inference app provides access to the following modules:

- Inference for Proportions (one and two independent samples)
- Inference for Means (one and two independent samples)
- Inference in Linear Regression Models (slope, confidence & prediction intervals)
- Chi-Square Test (Independence/Homogeneity and Goodness of Fit)
- One-way ANOVA for comparing several means
- Data Editor for creating or manipulating data

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 or use the new Data Editor. For larger datasets, upload a CSV file of your raw data to a cloud account (such as iCloud or Google Drive) or simply email the file to yourself. 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). Sample datasets are also provided.

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-, or Chi-Squared 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.

2023年9月26日

版本 1.6.0

- Data Editor for creating or manipulating data
- Use population standard deviation for inference about mean
- Color dots by third categorical/quantitative variable

開發者「Bernhard Klingenberg」指出 App 的隱私權實務可能包含下方描述的資料處理。如需更多資訊，請參閱開發者的隱私權政策。