Question 1

How do I calculate a confidence interval with Simple Statistics?

Accepted Answer

Use the `confidenceInterval` function by providing a sample array and confidence level. For example, `ss.ci(sample, 0.95)` returns the interval. Refer to the API documentation for detailed usage and assumptions.

Question 2

Simple Statistics vs jStat: which is better for JavaScript?

Accepted Answer

Simple Statistics is lighter and dependency-free, ideal for basic to intermediate needs. jStat offers more advanced features but has dependencies. Choose based on your project's complexity; if you need simplicity and no bloat, Simple Statistics is the way to go.

Question 3

Can Simple Statistics handle missing or NaN values in data?

Accepted Answer

No, the library expects clean numeric arrays. You must preprocess data to remove or impute missing values before passing them to functions, as it doesn't include built-in handling for such cases.

Question 4

Is Simple Statistics suitable for real-time data streaming apps?

Accepted Answer

It's designed for batch computations, not incremental updates. For real-time analytics, you might need to adapt it with custom caching or look to libraries optimized for streaming data.

Question 5

What's the bundle size impact in a web app?

Accepted Answer

The minified version is relatively small due to no dependencies, but for optimal performance, use ES6 imports to tree-shake unused functions. Check the benchmarks for specific size details.

Question 6

How to contribute to the Simple Statistics project?

Accepted Answer

Visit the GitHub repository for guidelines, which include writing literate JavaScript, running tests, and ensuring cross-browser compatibility. Contributions should align with the project's focus on clarity and correctness.

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