#Week 10 Overview#
This week you will learn about basic statistical analysis by using distribution functions and summary statistics. First, you will learn about representing data by a distribution, and how summary statistics can simplify this description. Next you will learn about more powerful distributions functions, including ones generated directly from the data like a probability mass function and a cumulative density function, as well as more commonly used theoretical distributions that can be used to approximate data. Finally, you will learn about visualization distributions by using matplotlib and seaborn.
#####By the end of this lesson, you should accomplish the following learning objectives:######
- Understand the different summary statistics.
- Understand how to create and use mass and density functions to represent data sets.
- Understand how theoretical distributions can be used to approximate data sets.
- Understand how to visualize distributions by using Python.
| Activities and Assignments | Time Estimate | Deadline* | Points |
|---|---|---|---|
| Week 10 Introduction Video | 10 Minutes | Tuesday | NA |
| Week 10 Lesson 1: Statistics: Summary Measures | 2 Hours | Thursday | 20 |
| Week 10 Lesson 2: Statistics: Distributions | 2 Hours | Thursday | 20 |
| Week 10 Lesson 3: Statistics: Visualization | 2 Hours | Thursday | 20 |
| Week 10 Quiz | 45 Minutes | Friday | 70 |
| Week 10 Assignment Submission | 3 Hours | The following Monday | 60% of the grade from the Instructor, 40% of the grade from Peer grading |
| Week 10 Completion of Peer Review | 3 Hours | The following Saturday | 30 |
*Please note that unless otherwise noted, the due time is 6pm Central time!