Hands-On Exploratory Data Analysis with Python

statsmodels library

Let's perform hypothesis testing using the stats library. Let's consider the following scenario.

In a study about mental health in youth, 48% of parents believed that social media was the cause of their teenagers' stress:

• Population: Parent with a teenager (age >= 18)
• Parameter of interest: p
• Null hypothesis: p = 0.48
• Alternative hypothesis: p > 0.48

Data: 4,500 people were surveyed, and 65% of those who were surveyed believed that their teenagers' stress is due to social media.

Let's start the hypothesis testing:

1. First, import the required libraries:

import statsmodels.api as smimport numpy as npimport matplotlib.pyplot as pltimport pandas as pd

2. Next, let's declare the variables:

n = 4500pnull= 0.48phat = 0.65