### What Values Can We Estimate Using a Confidence Interval?

In this course, we will estimate mean values, but you can also estimate other statistics such as variances, mathematical expectations, and more.

Now, let's dive into the function for calculating confidence intervals.

```python
st.norm.interval(confidence=0.95, loc=np.mean(dist), scale=st.sem(dist))
```

The `st.norm.interval()` function is used to compute a confidence interval with the following parameters:
- The `confidence` parameter represents the **confidence level**;
- The `loc` parameter signifies the **mean value of the distribution**;
- The `scale` is the **standard error of the mean**.

### What Is Standard Error of the Mean?

The standard error of the mean, often called standard error, measures how likely the population mean is to deviate from a sample mean.

Try to change the `confidence` parameter and observe the changes.

# Importing libraries
import scipy.stats as st
import numpy as np

# Creating random normal distribution
dist = st.norm.rvs(size=1000, loc=50, scale=2)

# Finding confidence interval
confidence = st.norm.interval(confidence=0.95, loc=np.mean(dist), scale=st.sem(dist))

print(confidence)

This course gives you a basic knowledge of statistics. It is intended for students with basic knowledge of Python syntax as they will be working with NumPy and pandas modules. During the course, you will become familiar with the basic concepts and then gradually move on to more complex concepts and tasks.

This section will help us deal with the first real statistical case: finding confidence intervals. It requires knowledge of NumPy, pandas, Matplotlib, and Seaborn library to calculate math formulas and build visualization! To encourage you to pass this section, I want to point out that you will run across a small amount of theory but a significant amount of practice!

An inseparable part of a data analyst's life is conducting hypothesis testing. After completing this section, you will understand the idea behind testing in statistics and will be able to conduct a t-test using Python.

Calculating Confidence Interval with Python

What Values Can We Estimate Using a Confidence Interval?

What Is Standard Error of the Mean?