Introduction to Engineering and Scientific Computing with Python

10 Working with Data

DOI: 10.1201/9781003256861-10

Chapter Objectives

• Learn how to make initial observations on data sets with the help of graphical depictions.
• Be able to compute typical sample statistics to characterize a data set.
• Understand how data relate to populations, and how distributions describe the latter.
• Learn how to simulate numbers drawn from different distributions using random number generators from the Python NumPy random module.
• Be able to make claims with data − an introduction to hypothesis testing.
• Learn how to fit mathematical models to data and evaluate their adequacy.

Scientists and engineers make discoveries and decisions based on information obtained through experiments and observations. Experiments are planned ...