Statistic for the day: Most popular street name in US: Second or 2 nd Number of Second (or 2 nd ) streets: 10866 Assignment: Read Sections 5.1, 5.2 Exercises:

Slides:



Advertisements
Similar presentations
+ Sampling and Surveys Inference for Sampling The purpose of a sample is to give us information about alarger population. The process of drawing conclusions.
Advertisements

Sampling Distributions 2-2 This content begins on page 44 of a book that is on a truck that is on it’s way to Lassiter.
Sampling.
Statistics for Managers Using Microsoft® Excel 5th Edition
Experimental Design Statistics Introduction Remember, population and sample Samples –1523 randomly chosen voters –6 Black capped chickadees –The.
Chapter 7 Sampling Distributions
Exam Info You will need a PICTURE ID to turn in your exam! Take the exam in the correct section! No hats, baggy clothes, scarves, or cell phones on exam.
JAMM 444: Public Opinion Survey methodology Comparing survey methods Planning your surveys.
Chapter 12 Sample Surveys. At the end of this chapter, you should be able to Identify populations, samples, parameters and statistics for a given problem.
Chapter 4 How to get the Data Part1 n In the first 3 lectures of this course we spoke at length about what care we should take in conducting a study ourselves.
Chapter 12 Sample Surveys
Chapter 7 Selecting Samples
Section 5.1. Observational Study vs. Experiment  In an observational study, we observe individuals and measure variables of interest but do not attempt.
David Kilgour Statistics David Kilgour Statistics.
Sampling Sampling Big Questions – Main Ideas 1)Should you include everyone or just a sample? 2)Probability versus Non-probability 3)How large? Response.
For our statistics group project, we selected the exhalation study to utilize different sampling methods of data. Part one of the assignment was to complete.
Copyright ©2005 Brooks/Cole, a division of Thomson Learning, Inc. How to Get a Good Sample Chapter 4.
Sample Surveys Ch. 12. The Big Ideas 1.Examine a Part of the Whole 2.Randomize 3.It’s the Sample Size.
How We Form Political Opinions Political Opinions Personal Beliefs Political Knowledge Cues From Leaders.
COLLECTING QUANTITATIVE DATA: Sampling and Data collection
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
Intro Stats Lesson 1.3 B Objectives: SSBAT classify different ways to collect data. SSBAT distinguish between different sampling techniques. Standards:
By 2030, more than half the youth in the U.S. will be of a racial and/or ethnic minority.
Sampling Distribution
THE WHO AND HOW. Opinion Polling. Who does polling? News organizations like CNN, Fox News, ABC, and NBC. Polling organizations like Rasmussen, Gallup,
1 1 Slide Chapter 7 (b) – Point Estimation and Sampling Distributions Point estimation is a form of statistical inference. Point estimation is a form of.
Chapter 4 Designing Studies
Homework Read pages Page 467: 1 – 16, 29 – 34, 37, 38, 59.
Measurements, Mistakes and Misunderstandings in Sample Surveys Lecture 1.
DATA COLLECTION METHODS Sampling
Chapter 12 Notes Surveys, Sampling, & Bias Examine a Part of the Whole: We’d like to know about an entire population of individuals, but examining all.
Sampling. Sampling Can’t talk to everybody Select some members of population of interest If sample is “representative” can generalize findings.
1 Sampling Techniques. 2 Introduction I l A unit is the entity that is of interest to us. l The population consists of all units of interest. l The population.
Chapter 12 Sample Surveys
Section 5.1 Designing Samples Malboeuf AP Statistics, Section 5.1, Part 1 3 Observational vs. Experiment An observational study observes individuals.
Feb. 6 Statistic for the day: Number of Florida high school students who take physical education courses online: 1204 Assignment: Continue to review for.
Sampling Methods.
Chap 1-1 Statistics for Managers Using Microsoft Excel ® 7 th Edition Chapter 1 Defining & Collecting Data Statistics for Managers Using Microsoft Excel.
Slide 1 Copyright © 2004 Pearson Education, Inc. Misuses of Statistics  Bad Samples  Small Samples  Misleading Graphs  Pictographs  Distorted Percentages.
Mar. 22 Statistic for the day: Percent of Americans 18 or older who believe Martha Stewart’s sentence should include jail time: 53% Assignment: Read Chapter.
Sampling Chapter 1. EQT 373 -L2 Why Sample? Selecting a sample is less time-consuming than selecting every item in the population (census). Selecting.
© Nuffield Foundation 2011 Nuffield Free-Standing Mathematics Activity Parking permits.
1. Population and Sampling  Probability Sampling  Non-probability Sampling 2.
Experiments Main role of randomization: Assign treatments to the experimental units. Sampling Main role of randomization: Random selection of the sample.
Section 5.1 Designing Samples AP Statistics
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 7-1 Chapter 7 Sampling Distributions Basic Business Statistics.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 1-1 A Population is the set of all items or individuals of interest.
Part III – Gathering Data
Copyright © 2008 Pearson Education, Inc.. Slide 1-2 Chapter 1 The Nature of Statistics Section 1.3 Other Sampling Designs.
Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 7-1 Chapter 7 Sampling and Sampling Distributions Basic Business Statistics 11 th Edition.
Copyright © 2014 Pearson Education. All rights reserved Sampling LEARNING GOAL Understand the importance of choosing a representative sample.
STATISTICAL DATA GATHERING: Sampling a Population.
Basic Business Statistics
Chapter 3 Surveys and Sampling © 2010 Pearson Education 1.
Unit 8: The Normal Distribution. Probability distributions The probability of an outcome in an interval is shown in an histogram as the area above that.
Sampling HMS 320 Spring Why sample? Why not survey or collect data from the whole population?
1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.
Chapter 5 Sampling and Surveys. Section 5.3 Sample Surveys in the Real World.
Statistics Definitions Part 2. Representative Sample For a sample to be representative of a population, it must possess the same characteristics as the.
Sample Design AP Statistics. Quick definitions Response Variable / Dependent Variable (the output) Explanatory Variables /Independent Variables (input)
Statistic for the day: % of Americans who didn’t attend college who say they believe in extraterrestrials: 37 Who did attend college: 47 Assignment: Read.
Statistic for the day: Payment that 5 former employees of Du Pont in 1988 demanded for keeping the formula for Lycra secret: $10,000,000 Assignment: Read.
Population vs Sample Population = The full set of cases Sample = A portion of population The need to sample: More practical Budget constraint Time constraint.
Unit 2 Review. Developing a Thesis A thesis is a question or statement that the research will answer When writing a thesis, ask: Is it specific? Are the.
Last lecture summary Five numbers summary, percentiles, mean Box plot, modified box plot Robust statistic – mean, median, trimmed mean outlier Measures.
Stat 100 Jan. 21 Read Chapter 4, Try problems 1,2, 5,7,9,14,15,17
محيط پژوهش محيط پژوهش كه قلمرو مكاني نيز ناميده مي شود عبارت است از مكاني كه نمونه هاي آماري مورد مطالعه از آنجا گرفته مي شود .
جمعیت –نمونه –روشهای نمونه گیری دکتر محسن عسکرشاهی دکترای آمار زيستی
نمونه گيري و انواع آن تدوین کننده : ملیکه سادات ابراهیمی
Surveys How to create one.
Presentation transcript:

Statistic for the day: Most popular street name in US: Second or 2 nd Number of Second (or 2 nd ) streets: Assignment: Read Sections 5.1, 5.2 Exercises: pp #1, 2, 3, 5 Source: 1990 Census These slides were created by Tom Hettmansperger and in some cases modified by David Hunter

Likely New Hampshire voters: Did the speech Howard Dean gave to his supporters after the Iowa Caucuses raise serious doubts in your mind that he can be a good candidate for president, or did it not affect your view of him? Gallup Poll Yes, raised serious doubts No, did not have an effect No opinion 30%69%1%

So in our example, if the sample size is 1600, then the square root is 40 and so the MARGIN OF ERROR is: Or 2.5 % And we report 30% + 2.5% 1/40 = 0.025

Summary: We have a simple random sample from the population of telephone owners who are likely voters in the NH primary. We have a simple random sample from the population of telephone owners who are likely voters in the NH primary. We find the percentage from our sample. We find the percentage from our sample. The MARGIN OF ERROR is 1 divided by the square root of the sample size. The MARGIN OF ERROR is 1 divided by the square root of the sample size. For 1600 the MARGIN OF ERROR is.025. For 1600 the MARGIN OF ERROR is.025.  Hence we report: PERCENTAGE The margin of error does not depend on the population size, only on the sample size! The margin of error does not depend on the population size, only on the sample size!

The Morning After Pill The Morning After Pill YesNo Not sure 59.1%37.1%3.8% Do you think that the ‘morning-after’ contraceptive pill should be available over the counter? USA Today call-in poll (

Pie Chart for Contraceptive Poll

The responding group is not representative of any larger group! Opinions reflect only those of the people who decide to respond. These polls are unscientific and worthless. READ P61 OF THE TEXT BOOK. What Is Wrong With the Poll?

Volunteer response vs. volunteer sample Contraceptive call-in poll? Volunteer sample! 1936 Literary Digest poll? Volunteer response! Which is worse? Volunteer sample!

Do you have a tattoo? YesMenNoMenYesWomenNoWomen 11%89%13%87% Based on: 37 men 77 women Stat100.2 F01

Pie Chart: Tattoos

What is the margin of error for the different percentages? What should you report? Example: men who answer yes 11% N = 37 Margin of error =.16 or 16% Report: 11% + 16% So there is a huge margin of error and the 11% is fairly uncertain.

What Is Wrong With the tattoo Survey? What is the target population? What sort of sample do we have?

Sampling methods (Simple) random sampling (Simple) random sampling Stratified random sampling Stratified random sampling Cluster sampling Cluster sampling Systematic sampling Systematic sampling Bad: Haphazard or convenience sampling (as in tattoo survey) Bad: Haphazard or convenience sampling (as in tattoo survey)

Stratified random sampling Divide population into subgroups, or strata Divide population into subgroups, or strata From each stratum, select a random sample From each stratum, select a random sample Example: Select a random sample from each of four groups of students (in-state non-minority, in-state minority, out-of-state non-minority, out-of-state minority) to ensure adequate representation of each group.

Cluster sampling Divide population into subgroups, or clusters Divide population into subgroups, or clusters Select a random sample of clusters Select a random sample of clusters Measure individuals within selected clusters according to some plan Measure individuals within selected clusters according to some plan Example: To study high schoolers, first take a random sample of schools and then look in depth at all students in selected schools

Systematic sampling From a list of individuals in the population, select every k th individual From a list of individuals in the population, select every k th individual Example: Does anyone know the origin of the word “decimate”?