Sign In | Subscribe
Start learning today, and be successful in your academic & professional career. Start Today!
Loading video...
This is a quick preview of the lesson. For full access, please Log In or Sign up.
For more information, please see full course syllabus of AP Statistics
  • Discussion

  • Download Lecture Slides

  • Table of Contents

Bookmark and Share

Start Learning Now

Our free lessons will get you started (Adobe Flash® required).
Get immediate access to our entire library.

Sign up for Educator.com

Membership Overview

  • Unlimited access to our entire library of courses.
  • Search and jump to exactly what you want to learn.
  • *Ask questions and get answers from the community and our teachers!
  • Practice questions with step-by-step solutions.
  • Download lesson files for programming and software training practice.
  • Track your course viewing progress.
  • Download lecture slides for taking notes.
  • Learn at your own pace... anytime, anywhere!

Planning & Conducting Surveys

Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.

  • Intro 0:00
  • Objectives 0:09
  • Census vs. Survey, Parameter vs. Statistics 0:28
    • Census vs. Survey, Parameter vs. Statistics
  • Characteristics of a Well-Designed and Well-Conducted Survey 2:15
    • Representative Sample
    • Random Sample
    • Does Not Introduce Bias
  • Bias 4:16
    • What Is It?
    • How Might It Occur?
  • Example I: Identify the Type of Bias 7:03
  • Random Sampling 10:25
    • Simple Random Sample (SRS)
  • Example II: Random Sampling 13:26
  • Random Sampling, Cont. 16:44
    • Stratified Random Sampling
    • Cluster Sample
    • Systematic Random Sample
  • Example III: Random Sampling 20:52
  • Non-Random Sampling 22:28
    • Convenience Sample
    • Voluntary Response Sample
  • Example IV: Sampling Design 25:01
    • Specify The Population
    • Describe The Sampling Design. Will You Use a Stratified Sample?