01 - Introduction, Descriptive statistics (Sept. 6-13)

Looking at Data and Distributions of One Variable


Learning Objectives

  • Understand the overall concept of transforming data into information as a useful method for making decisions when faced with uncertainty. 
  • Explain the difference between a categorical and quantitative variable by giving an example of each.
  • List the most appropriate plots to display a categorical versus quantitative variable.
  • Describe the overall shape, location, and spread of the distribution from a histogram. 
  • Identify potential outliers or points that deviate from the overall pattern. 
  • List the steps to create a boxplot (five-number summary) and explain the rule for identifying outliers.

 Videos & Video Lectures

 

Readings

  • IPS Text - Chapter 1.1-1.3
  • Lab Manual - Review Introduction

 

Assignments

 

Required Online Adobe Connect Sessions

  • Wednesday, September 7 | 7-7:45pm ET -Happy Hour with Rod Little
    • Topic: Introductions
    • Week 1 Happy Hour Recording
  • Monday, September 12 | 7-8:20 pm ET - Lab 1 with Swastina Shrestha:
    • Topic: SPSS Intro, Variables, Data Sets & Distributions
    • Week 1 Lab Recording

Powerpoint Slides

 

Additional Resources