Homework: pg. 357 #34-36, 38 34.) Subjects: the students living in the selected dormitory Factor: the rate structure Treatments: paying one flat rate or.

Slides:



Advertisements
Similar presentations
+ Experiments How to Experiment Well: The RandomizedComparative Experiment The remedy for confounding is to perform a comparative experiment in which some.
Advertisements

AP Statistics Section 5.2 B More on Experiments
DESIGNING EXPERIMENTS
Warm-Up Grab a sheet and review!. Section 4.2 Experiments Some of these things are going to look familiar, but remember…we are talking about different.
Introduction to the Design of Experiments
Section 5.2 Designing Experiments AP Statistics
5.2 Designing Experiments
Objectives (BPS chapter 9) Producing data: experiments  Experiments  How to experiment badly  Randomized comparative experiments  The logic of randomized.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
AP STATISTICS Section 5.2 Designing Experiments. Objective: To be able to identify and use different experimental design techniques. Experimental Units:
CHAPTER 9: Producing Data: Experiments. Chapter 9 Concepts 2  Observation vs. Experiment  Subjects, Factors, Treatments  How to Experiment Badly 
C HAPTER 5: P RODUCING D ATA DESIGNING EXPERIMENTS.
Section 5.2 Designing Experiments. Observational Study - Observes individuals and measures variables of interest but DOES NOT attempt to influence the.
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.
Producing Data: Experiments BPS - 5th Ed. Chapter 9 1.
 Get out homework and discuss with neighbor.  Be prepared with any questions you might have.  Get out materials for notes.
Chapter 5: Producing Data 5.2 – Designing Experiments.
Chapter 6.1 Part 2.
Chapter 4: Designing Studies
CHAPTER 4 Designing Studies
Warm-up A newspaper article about an opinion poll says that “43% of Americans approve of the president’s overall job performance.” Toward the end of the.
Take-home quiz due! Get out materials for notes!
Experiments: What Can Go Wrong?
Section 5.2 Designing Experiments
CHAPTER 4 Designing Studies
Designing Experiments
Designing Experiments
Chapter 4: Designing Studies
Analysis of Variance (ANOVA)
CHAPTER 4 Designing Studies
Warm Up Imagine you want to conduct a survey of all public high school seniors in San Jose to determine how many colleges they plan to apply to this year.
CHAPTER 9: Producing Data— Experiments
Chapter 4: Designing Studies
Statistical Reasoning December 8, 2015 Chapter 6.2
Section 5.2 EXPERIMENTAL DESIGN.
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.
Warm-up Page 260 #91-98 (Please remember that these are not just “busy work”. These are good review for your test.) I will open up the Socrative room.
Introduction to the Design of Experiments
Chapter 4: Designing Studies
CHAPTER 4 Designing Studies
Chapter 4: Designing Studies
Chapter 4: Designing Studies
Chapter 4: Designing Studies
CHAPTER 4 Designing Studies
Chapter 4: Designing Studies
Experiments & Observational Studies
Chapter 4: Designing Studies
Chapter 4: Designing Studies
CHAPTER 4 Designing Studies
Chapter 4: Designing Studies
CHAPTER 4 Designing Studies
Chapter 4: Designing Studies
Chapter 3 producing data
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
Chapter 5.2 Designing Experiments
Experimental Design Statistics.
Chapter 4: Designing Studies
CHAPTER 4 Designing Studies
Chapter 4: Designing Studies
Analysis of Variance (ANOVA)
Chapter 4: Designing Studies
Chapter 4: Designing Studies
Principles of Experimental Design
CHAPTER 4 Designing Studies
10/28/ B Experimental Design.
Chapter 4: Designing Studies
If you have your parent letter, please turn in at my desk (scissors on my desk). Get out your homework and materials for notes!
Presentation transcript:

Homework: pg. 357 #34-36, 38 34.) Subjects: the students living in the selected dormitory Factor: the rate structure Treatments: paying one flat rate or paying peak/off-peak rates Response: the amount and time of use and total network use 35.) Subjects: the individuals who were called Factors: (1) type of call; (2) offered survey results Treatments: (1) giving name/no survey results; (2) identifying university/ no survey results; (3) giving name and university/ no survey results; (4) giving name/offering survey results; (5) identifying university/offer survey results; (6) giving name and university/offering survey results Response: whether or not the interview was completed

36.) Subjects: 300 sickle-cell patients Factor: type of medication Treatments: hydroxyurea and placebo Response: number of pain episodes 38.) A. Units: middle schools Response: physical activity and lunchtime consumption of fat B. There are two factors (physical activity program and nutrition program) and four treatments (activity intervention, nutrition intervention, both interventions, and neither intervention). C. At least four experimental units are required for the experiment; but, as we will see in the next section, using only four experimental units is not a good idea.

5.2 Principles of Experimental Design

Experimental Design Basic Principles of statistical design of experiments: Control the effects of lurking variables on the response (compare 2 or more treatments) Replicate each treatment on many units to reduce chance of variation in the results Randomize—use impersonal chance to assign experimental units to treatments

Sit or Stand Activity: Control: Replicate: Randomize:

Experimental Design Completely randomized design—all units are assigned a treatment at random

Example: pg. 364 #39 You are trying to compare the effectiveness of two ways to treat prostate disease. The two treatments are traditional surgery and a new method that does not require surgery. You have 300 prostate patients who are willing to serve as subjects in an experiment. Use a diagram to outline the design of a randomized comparative experiment.

Experimental Design (Form of Control) Block design —group of units that are known to be similar before the treatments Form blocks based on most important, unavoidable sources of variability Then randomly assign treatments within each block EACH block should have units that receive each treatment Blocks ≠ Treatment groups For example, block design is necessary if you have 50 female and 20 male volunteers to use in a medication study, and you think that the medication might affect men and women differently. Form blocks by gender by putting the 50 females on one list and the 20 males on another. Randomly choose 25 females and 10 males to be in the treatment group. The remaining 25 females and 10 males will be the control group. Since both groups have the same gender makeup, any difference between the groups can be attributed to the medicine, not to gender differences.

Experimental Design Matched Pairs design —block 2 units together based on similar traits Randomly assign treatments (one control; one treatment) Can be a match with yourself Common Block Design

Pg. 372 #48 We want to compare the growth of trees given more CO2 and those that were not. We can afford to treat 3 circular areas with more CO2 A.) Describe a completely randomized design using 6 well separated 30 meter circular areas in a pine forest. B.) Areas within the forest may differ in soil fertility. Describe a matched pairs design using three pairs of circles that will reduce the extra variation due to different fertility. Sketch the circles and carry out the randomization your design calls for.

Double blind experiment —neither subjects nor those who measure the response variable know which treatment a subject received Helps treat every subject the same, regardless of treatment Lack of realism —cannot realistically duplicate conditions we want to study

Goal of experiments: Statistically Significant: an observed effect so large that it would rarely occur by chance Review of 5.2 is on page 373. Good overview of new vocabulary.

HW: pg 365 #41, 44 pg 371 #49,50