Observational Study vs. Experimental Design

Slides:



Advertisements
Similar presentations
Explaining the parts of an experiment
Advertisements

GATHERING DATA Chapter Experiment or Observe?
AP Statistics Chapter 5 Notes.
Chapter 2 – Experimental Design and Data Collection Math 22 Introductory Statistics.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 4 Gathering Data Section 4.1 Experimental and Observational Studies.
1. Prediction: to tell something before it happens 2. Hypothesis: a possible answer to a question based on gathered information.
1. Researchers use the terms variable, subject, sample, and population when describing their research. 2. Psychologists do research to measure and describe.
Producing Data 1.
Section 1.3 Introduction to Experimental Design 1.3 / 1.
CHAPTER 9: Producing Data Experiments ESSENTIAL STATISTICS Second Edition David S. Moore, William I. Notz, and Michael A. Fligner Lecture Presentation.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
Producing Data (C11-13 BVD) C13: Experiments and Observational Studies.
Simple Comparative Experiments Section 2.3. More on Experiments An experiment is a planned intervention undertaken to observe the effects of one or more.
AP Statistics Semester One Review Part 2 Chapters 4-6 Semester One Review Part 2 Chapters 4-6.
Collection of Data Jim Bohan
The population in a statistical study is the entire group of individuals about which we want information The population is the group we want to study.
4.3 Using Studies Wisely Objective SWBAT Describe the scope of inference that is appropriate in a statistical study.
4.1 Statistics Notes Should We Experiment or Should We Merely Observe?
Ten things about Experimental Design AP Statistics, Second Semester Review.
1.3 Experimental Design. What is the goal of every statistical Study?  Collect data  Use data to make a decision If the process to collect data is flawed,
AP Statistics Review Day 2 Chapter 5. AP Exam Producing Data accounts for 10%-15% of the material covered on the AP Exam. “Data must be collected according.
Statistics: Experimental Design
WARM-UP A factory has 20 assembly lines producing a popular toy. The company wishes to inspect a representative sample of 100 toys. Through sampling,
Chapter 9 Designing Experiments
Lecture #1 Tuesday, August 23, 2016
Inference for Proportions
Chapter 4: Designing Studies
Probability and Statistics
Chapter 4: Designing Studies
CHAPTER 10 Comparing Two Populations or Groups
Observational Studies and Experiments
4.3: Using Studies Wisely.
Producing Data, Randomization, and Experimental Design
Producing Data, Randomization, and Experimental Design
Accel Precalculus Unit #1: Data Analysis Lesson #4: Introduction to Statistics.
When Can We Draw Conclusions?
Ten things about Experimental Design
Chapter 4: Designing Studies
Chapter 4: Designing Studies
CHAPTER 4 Designing Studies
Statistics Experimental Design
Do Now: SWBAT: Apply the three principles of experimental design.
Basic Concepts in Social Science Research
Do Now On google classroom.
Chapter 4: Designing Studies
Chapter 4: Designing Studies
I. Introduction and Data Collection C. Conducting a Study
Chapter 4: Designing Studies
Day 1 Parameters, Statistics, and Sampling Methods
Warm Up Compare and contrast the following concepts as they relate to designing studies and experiments: Stratified Random Sample Blocking How are they.
Chapter 4: Designing Studies
CHAPTER 4 Designing Studies
Chapter 9 Designing Experiments
CHAPTER 4 Designing Studies
Chapter 4: Designing Studies
Chapter 4: Designing Studies
Chapter 4: Designing Studies
Statistics Section 1.3 Describe the components and types of censuses
Psychological Experimentation
Principles of Experimental Design
Experimental Design Statistics.
Chapter 4: Designing Studies
Chapter 4: Designing Studies
CHAPTER 10 Comparing Two Populations or Groups
Chapter 4: Designing Studies
Chapter 4: Designing Studies
Principles of Experimental Design
Probability and Statistics
Three important principles of experimental design are:
CHAPTER 4 Designing Studies
Presentation transcript:

Observational Study vs. Experimental Design

Observations and Experiments There are two approaches to collecting data in statistics – observational studies and experiments. In observational studies, researchers observe characteristics from samples of an existing population and use the information collected to make inferences about the population. In an observational study, the researcher gathers data without trying to change anything. In an experiment, researchers gather data by imposing a treatment and observing responses.  

Observational Studies There are several key steps involved in designing an observational study. Determine the focus of the study. What is the variable of interest? What information is needed to answer the main question of interest? Develop a plan to collect data. How will subjects be observed?   Determine the most appropriate sampling method and select the sample. Collect the data.   Describe and interpret the data using appropriate statistical procedures and graphs.   Report the findings of the study.

Experimental Design The basic principles of experimental design are Randomization – Experimental units/subjects should be randomly assigned to treatment groups;  Control - Experimenters need to control any lurking variables, generally by comparing multiple treatment groups; Replication – The experiment should involve many experimental units/subjects.