The Art of Stat: Inference app offers a comprehensive set of modules for statistical analysis:
- 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
All modules can be accessed by a one-time small fee.
Entering data in the app is user-friendly. You can either input observations directly or utilize the Data Editor function for easier handling of summary statistics. For larger datasets, importing a CSV file from a cloud account like iCloud or Google Drive is supported. Sample datasets are also available for use.
The generated results are accompanied by informative visual aids such as side-by-side bar charts, boxplots, and histograms. The app calculates and presents confidence intervals, P-values, standard errors, margin of errors, and relevant statistical scores clearly. P-values are graphically displayed according to different distribution types for better interpretation.
Catering to both students and educators, this app serves as a convenient resource for performing fundamental statistical analyses with real-time visualization capabilities.
Operating seamlessly in online and offline modes, it is a reliable tool suitable for exam environments, clearly indicating offline status when applicable with a noticeable green banner.
Sharing outcomes is effortless through the built-in screenshot feature.
Overview
Art of Stat: Inference is a Freeware software in the category Education developed by Bernhard Klingenberg.
The latest version of Art of Stat: Inference is 1.6.0, released on 05/22/2024. It was initially added to our database on 05/22/2024.
Art of Stat: Inference runs on the following operating systems: iOS.
Users of Art of Stat: Inference gave it a rating of 5 out of 5 stars.
Pros
- Comprehensive coverage of statistical inference concepts
- Includes practical examples and exercises to aid in learning
- Written by an experienced author in the field
Cons
- May be too technical for beginners or those without a strong statistical background
- Some readers may find the content challenging to understand
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