Statistics for Data Science and Business Analysis - Cross Tables and Scatter Plots

The video tutorial explores how to represent relationships between variables using cross tables for categorical data and scatter plots for numerical data. It begins with an introduction to cross tables, also known as contingency tables, using an investment example. The tutorial then explains how to visualize data with side-by-side bar charts. It concludes with a detailed discussion on scatter plots, using SAT scores as an example, highlighting trends, concentrations, and outliers. The video wraps up by introducing the next topic: descriptive statistics.

What are cross tables and how are they used in data analysis?

How can the totals of rows and columns in a cross table aid in further analysis?

Explain the significance of scatter plots in representing numerical data.

Describe the relationship between writing and reading scores as observed in the scatter plot.

What is an outlier in the context of scatter plots, and why is it important to identify them?