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Calculating Confidence Interval with Python

Course Content

Learning Statistics with Python

## Calculating Confidence Interval with Python

If we are working with a small distribution (size less than or equal to 30) that approximates the normal distribution, we will use t-statistics.

How to calculate the confidence interval?

• We use the `t.interval()` function from `scipy.stats` for the Student's T distribution.
• As mentioned earlier, `alpha` represents the confidence level.
• `df` stands for the number of degrees of freedom.
• `loc` represents the mean.
• `sem` represents the standard error of the sample.

Degrees of Freedom

Degrees of freedom are the number of independent information elements used to estimate a parameter.

The formula for degrees of freedom is `N - 1`, where `N` is the sample size.

Feel free to adjust the `alpha` parameter and observe the resulting changes.

Everything was clear?

Section 5. Chapter 6