cenuno / dsc-1-09-22-section-recap-summary-seattle-ds-career-040119

Section Recap

Introduction

This short lesson summarizes the topics we covered in section 09 and why they'll be important to you as a data scientist.

Objectives

You will be able to:

• Understand and explain what was covered in this section
• Understand and explain why this section will help you become a data scientist

Key Takeaways

In this section, we really dug into statistical distributions. Key takeaways include:

• The difference between discrete and continuous statistical distributions
• The value of using stem and leaf plots for visualizing a data set
• How to describe the distribution of data sets using Probability Mass Functions, Cumulative Distribution Functions and Probability Density Functions.
• The characteristics of a gaussian distribution
• Differences between the normal and the standard normal distribution
• How skewness and kurtosis can be used to measure how different a given distribution is from a normal distribution
• The uses of z-scores and p-values for describing a distribution
• How a one sample z-test is a very simple form of hypothesis testing.