Visualize and interact with the most important concepts in intro stats
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| 名前 | Art of Stat: Concepts |
|---|---|
| バージョン | 1.4.0 |
| アップデート | 2024年08月14日 |
| サイズ | 34 MB |
| カテゴリー | 教育 |
| インストール | 500+ |
| 開発元 | Bernhard Klingenberg, Art of Stat |
| Android OS | Android 5.0+ |
| Google Play ID | com.artofstat.concepts |
Art of Stat: Concepts · スクリーンショット
Art of Stat: Concepts · 説明
Explore the Central Limit Theorem, learn about the coverage probability of confidence intervals, and visualize and compute Type I & II Errors and Power in hypothesis testing.
Build understanding by experiencing these important concepts step-by-step in a playful manner.
The Art of Stat: Concepts app provides access to the following modules:
- The Central Limit Theorem for Means
- The Central Limit Theorem for Proportions
- Explore Coverage
- Errors & Power
Select from several real population distributions (left and right-skewed or fairly symmetric) and simulate taking a sample from the population.
Visualize how the sampling distribution builds, step-by-step. Explore the effect on the sampling distribution as you increase the sample size. Overlay the normal distribution.
Compare the sampling distribution of the mean to the population distribution, both visually and in terms of key statistics.
Explore what 95% coverage for a confidence interval for a population mean or proportion implies.
See the Type I and Type II error and explore how they depend on the sample size and the true parameter value. Find and visualize the power of a hypothesis test.
Build understanding by experiencing these important concepts step-by-step in a playful manner.
The Art of Stat: Concepts app provides access to the following modules:
- The Central Limit Theorem for Means
- The Central Limit Theorem for Proportions
- Explore Coverage
- Errors & Power
Select from several real population distributions (left and right-skewed or fairly symmetric) and simulate taking a sample from the population.
Visualize how the sampling distribution builds, step-by-step. Explore the effect on the sampling distribution as you increase the sample size. Overlay the normal distribution.
Compare the sampling distribution of the mean to the population distribution, both visually and in terms of key statistics.
Explore what 95% coverage for a confidence interval for a population mean or proportion implies.
See the Type I and Type II error and explore how they depend on the sample size and the true parameter value. Find and visualize the power of a hypothesis test.
