Course Content

# Learning Statistics with Python

2. Mean, Median and Mode with Python

3. Variance and Standard Deviation

4. Covariance vs Correlation

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