Block designs and matched pairs designs

Slides:



Advertisements
Similar presentations
Math 145 August 5, Review Methods of Acquiring Data: 1. Census – obtaining information from each individual in the population. 2. Sampling – obtaining.
Advertisements

AP Statistics Section 5.2 B More on Experiments
DESIGNING EXPERIMENTS
Section 3.2: Experiments in the Real World
Chapter 6: Experiments in the Real World
Chapter 5 Producing Data
1.6 (extra) Design of Experiments: Principles Sampling design.
Chapter 5 Data Production
Questions for Course Evaluation
Section 3. Double Blind - Neither the subjects nor the people working with them know which treatment each subject is receiving Block Design - A block.
Section 5.2 Designing Experiments AP Statistics
Experiments Part 3. The purpose of the design is to rule out these alternative causes, leaving only the actual factor that is the real cause.
AP Statistics.  Observational study: We observe individuals and measure variables of interest but do not attempt to influence responses.  Experiment:
More Designs Section 4.2B. Block Group of experimental units or subjects that are known before the experiment to be similar in some way that is expected.
Designing Experiments Purpose for experiments – to study the response of one variable to the changes in other variables. Experimental Units (Subjects)
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 4 Designing Studies 4.2Experiments.
Designing Samples Chapter 5 – Producing Data YMS – 5.1.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 4 Designing Studies 4.2Experiments.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
Math 145 September 20, Review Methods of Acquiring Data: 1. Census – obtaining information from each individual in the population. 2. Sampling –
C HAPTER 5: P RODUCING D ATA DESIGNING EXPERIMENTS.
CHAPTER 9: Producing Data Experiments ESSENTIAL STATISTICS Second Edition David S. Moore, William I. Notz, and Michael A. Fligner Lecture Presentation.
Warm Up 2/20/2014. Principles of Experimental Design (CRR) 1)Control the effects of lurking variables on the response, most simply by comparing.
Producing Data (C11-13 BVD) C13: Experiments and Observational Studies.
Experimental Design. Types of Designs by how units are randomized to treatments Completely Randomized Block Matched Pair.
5.2 Day 2: Designing Experiments
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 4 Designing Studies 4.2Experiments.
Math 145 December 3, Review Methods of Acquiring Data: 1. Census – obtaining information from each individual in the population. 2. Sampling – obtaining.
Chapter 5.2 Designing experiments. Terminology The individuals on which the experiment is done are the experiment units. When the units are human beings.
{ Chapter 6.2 Part 2. Experimental Design Terms Terms: Response variable – measures outcome (dependent, y) Explanatory variable – attempts to explain.
Exploring Relationships Between Variables. The explanatory variable attempts to “explain” the response variable. You would use the explanatory variable.
 Get out homework and discuss with neighbor.  Be prepared with any questions you might have.  Get out materials for notes.
Matched Pair and Block Design I can distinguish between a completely randomized design and a randomized block design. I know when a matched pair experimental.
Chapter 6 Designing Experiments. Section 6.2 Experiments in the Real World.
Section 5.2 Designing Experiments AP Statistics October 27 th, 2014.
CHAPTER 4 Designing Studies
Chapter 5 Data Production
CHAPTER 4 Designing Studies
Day 31 AGENDA: DG minutes Hand back THQ3.
CHAPTER 4 Designing Studies
MATH 2311 Sections 6.2 & 6.3.
Section 5.2 Designing Experiments
CHAPTER 4 Designing Studies
WARM - UP An astronaut wants to examine the effects of space exposure on the percent of bone loss. The bone mass of lab rats are recorded before they.
Chapter 4: Designing Studies
Analysis of Variance (ANOVA)
CHAPTER 4 Designing Studies
CHAPTER 9: Producing Data— Experiments
Chapter 4: Designing Studies
Advanced Placement Statistics
DRILL If you needed to select 5 students from a group of 6250, how could you use the table of random digits to carry out the selection process. Starting.
5.1 – Designing Samples.
CHAPTER 4 Designing Studies
The first documented experimental design
CHAPTER 4 Designing Studies
CHAPTER 4 Designing Studies
CHAPTER 4 Designing Studies
Chapter 4: Designing Studies
Designing Experiments
Warmup A drug company wants to test a new drug, statsium, to determine if it improves memory in young adults. There will be two treatments: a daily.
Principles of Experimental Design
Experimental Design Statistics.
CHAPTER 4 Designing Studies
Homework: pg. 357 #34-36, ) Subjects: the students living in the selected dormitory Factor: the rate structure Treatments: paying one flat rate or.
CHAPTER 4 Designing Studies
Analysis of Variance (ANOVA)
Exploring Relationships Between Variables
Principles of Experimental Design
CHAPTER 4 Designing Studies
10/28/ B Experimental Design.
Presentation transcript:

Block designs and matched pairs designs AP Statistics

Double Blind Experiments Neither the subjects nor the people who have contact with them know which treatment a subject received.

Matched pairs designs Matched pairs designs compare two treatments ONLY. We choose blocks of two units that are as closely matched as possible. We assign one of the treatments to each unit by tossing a coin or reading odd and even digits from Table B. ALTERNATIVELY, each block in a matched pairs design may consist of just one subject who gets both treatments one after the other. Each subject serves as his or her own control. The order of the treatments can influence the subject’s response, so we randomize the order for each subject by a coin toss. YOU MUST HAVE INDEPENDENT OBSERVATIONS FOR A MATCHED PAIRS DESIGN

We erect a pole at each location to hold the boards. Example 5.16 p 301 Are cereal leaf beetles more strongly attracted by the color yellow or by the color green? Agriculture researchers want to know, because they detect the presence of the pests in farm fields by mounting sticky boards to trap insects that land on them. The board color should attract beetles as strongly as possible. We must design an experiment to compare yellow and green by mounting boards on poles in a large field of oats. WE can do this with a matched pairs design. The experimental units are locations in the field far enough apart to represent independent observations. We erect a pole at each location to hold the boards. We will mount a board of each color on both poles. We will have to randomly select the color that goes on top and on the bottom by a coin toss or using odd digits in table B. We compare the number of trapped beetles on the green board with the number of trapped beetles on the yellow board on the SAME POLE!

A Block Design a group of experimental units or subjects that are known before the experiment to be similar in some way that is expected to affect the response to the treatments. In a block design, the random assignment of units to treatments is carried out separately within each block.

Here is a mapping of this experiment: Example 5.17 Comparing cancer therapies  The progress of a type of cancer differs in women and in men. A clinical experiment to compare three therapies for this cancer therefore treats sex as a blocking variable. Two separate randomizations are done. One assigning the female subjects and the other assigning the male subjects. They are groups of subjects that differ in some way (sex in this case) that is apparent BEFORE the experiment. Here is a mapping of this experiment: