Hands-On Exploratory Data Analysis with Python

T-test

The T-test is a type of test most commonly used in inferential statistics. This test is most commonly used in scenarios where we need to understand if there is a significant difference between the means of two groups. For example, say we have a dataset of students from certain classes. The dataset contains the height of each student. We are checking whether the average height is 175 cm or not:

• Population: All students in that class
• Parameter of interest: μ, the population of a classroom
• Null hypothesis: The average height is μ = 175
• Alternative hypothesis: μ > 175
• Confidence level: α = 0.05

We have listed all the parameters. Now, we can use hypothesis testing:

1. Let's first set up the dataset:

import numpy as npheight = np.array([172, ...