March 10, Monday, March 10th. 1. Bell Work: Week #5 OAA. 2. Vocabulary: Sampling Ch. 9-1 MB pg Notes/Examples: Sampling Ch.

Similar documents
b. Stopping students on their way out of the cafeteria is a good way to sample if we want to know about the quality of the food there.

3. Data and sampling. Plan for today

Stats: Modeling the World. Chapter 11: Sample Surveys

Chapter 3 Monday, May 17th

Objectives. Module 6: Sampling

Stat Sampling. Section 1.2: Sampling. What about a census? Idea 1: Examine a part of the whole.

Statistics and Data Long-Term Memory Review Review 1

Other Effective Sampling Methods

17. BUSINESS To get reaction about a benefits package, a company uses a computer program to randomly pick one person from each of its departments.

AP Statistics S A M P L I N G C H A P 11

Basic Practice of Statistics 7th

Honors Statistics. Daily Agenda

STA 218: Statistics for Management

Gathering information about an entire population often costs too much or is virtually impossible.

Chapter 8. Producing Data: Sampling. BPS - 5th Ed. Chapter 8 1

Sample Surveys. Sample Surveys. Al Nosedal. University of Toronto. Summer 2017

Chapter 12 Summary Sample Surveys

Chapter 12: Sampling

MAT 1272 STATISTICS LESSON STATISTICS AND TYPES OF STATISTICS

BELLWORK Vocabulary 4-5 MB pg White Boards!! square root

SAMPLING BASICS. Frances Chumney, PhD

Statistical Measures

Chapter 4: Designing Studies

Sampling Terminology. all possible entities (known or unknown) of a group being studied. MKT 450. MARKETING TOOLS Buyer Behavior and Market Analysis

BELLWORK Vocabulary 4-5 MB pg. 182 CLICKERS!!

Honors Statistics. Daily Agenda

Lesson 13: Populations, Samples, and Generalizing from a Sample to a Population

Stat472/572 Sampling: Theory and Practice Instructor: Yan Lu Albuquerque, UNM

Sampling Designs and Sampling Procedures

Polls, such as this last example are known as sample surveys.

Math. Integrated. Trimester 3 Revision Grade 7. Zayed Al Thani School. ministry of education.

CHAPTER 8: Producing Data: Sampling

PUBLIC EXPENDITURE TRACKING SURVEYS. Sampling. Dr Khangelani Zuma, PhD

Sample Surveys. Chapter 11

7.1 Sampling Distribution of X

Unit 8: Sample Surveys

Essential Question How can you list the possible outcomes in the sample space of an experiment?

STAT 100 Fall 2014 Midterm 1 VERSION B

Name: Spring P. Walston/A. Moore. Topic worksheet # assigned #completed Teacher s Signature Tree Diagrams FCP

7-3 Skills Practice. Percent and Estimation. Lesson 7 3. Estimate by using fractions % of % of % of 90 4.

Collecting, Displaying, and Analyzing Data

Elements of the Sampling Problem!

Class 10: Sampling and Surveys (Text: Section 3.2)

MAT Midterm Review

The Savvy Survey #3: Successful Sampling 1

Population vs. Sample

Exam 2 Review. Review. Cathy Poliak, Ph.D. (Department of Mathematics ReviewUniversity of Houston ) Exam 2 Review

Student-Built Glossary

CH 13. Probability and Data Analysis

Session V: Sampling. Juan Muñoz Module 1: Multi-Topic Household Surveys March 7, 2012

SURVEY ON USE OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT)

Massachusetts Renewables/ Cape Wind Survey

4.1: Samples & Surveys. Mrs. Daniel AP Stats

Describe the variable as Categorical or Quantitative. If quantitative, is it discrete or continuous?

POLI 300 PROBLEM SET #2 10/04/10 SURVEY SAMPLING: ANSWERS & DISCUSSION

Warm Up The following table lists the 50 states.

CHAPTER 4 Designing Studies

Overview of the Course Population Size

CC-13. Start with a plan. How many songs. are there MATHEMATICAL PRACTICES

Leasehold Management Service Standards

Section 6.4. Sampling Distributions and Estimators

Lesson Lesson Tutorials

Cluster Assessment Pre visits Community Involvement & Census

Census 2000 and its implementation in Thailand: Lessons learnt for 2010 Census *

Probability Homework

Unit 1B-Modelling with Statistics. By: Niha, Julia, Jankhna, and Prerana

Full file at

Sampling, Part 2. AP Statistics Chapter 12

Sampling. I Oct 2008

large group of moving shorebirds (or other organism).

Chapter 14: Censuses, Surveys, Polls and Studies Enumeration

Lesson 7: Calculating Probabilities of Compound Events

LOGO GENERAL STATISTICS OFFICE OF VIETNAM

October 6, Linda Owens. Survey Research Laboratory University of Illinois at Chicago 1 of 22

Key Words: age-order, last birthday, full roster, full enumeration, rostering, online survey, within-household selection. 1.

Introduction INTRODUCTION TO SURVEY SAMPLING. Why sample instead of taking a census? General information. Probability vs. non-probability.

Chapter 4. Probability and Counting Rules. McGraw-Hill, Bluman, 7 th ed, Chapter 4

Second explosion at Japan nuclear plant

Richard F. Bernotas Middle School Spanish

Study Guide 3: Addition of Whole Numbers Category 2: Computation and Algebraic Relationships

Math 1342 Exam 2 Review

Census: Gathering information about every individual in a population. Sample: Selection of a small subset of a population.

Data sources data processing

Pre-Calculus Multiple Choice Questions - Chapter S14

Date. Probability. Chapter

Methodology Marquette Law School Poll February 25-March 1, 2018

Statistical and operational complexities of the studies I Sample design: Use of sampling and replicated weights

Objectives To find probabilities of mutually exclusive and overlapping events To find probabilities of independent and dependent events

Methodology Marquette Law School Poll October 26-31, 2016

Lesson 1. Numbers Large and Small. Let s Explore

green, green, green, green, green The favorable outcomes of the event are blue and red.

2, 3, 4, 4, 5, 5, 5, 6, 6, 7 There is an even number of items, so find the mean of the middle two numbers.

News English.com Ready-to-use ESL/EFL Lessons by Sean Banville Facebook creator is Time Person of the Year

Toss two coins 60 times. Record the number of heads in each trial, in a table.

Travel Writing: Getting Paid to See the World. Justin Bergman. Stanford Continuing Studies. Creative Writing Program. Winter 2015

STAT 311 (Spring 2016) Worksheet W8W: Bernoulli, Binomial due: 3/21

12.1 Practice A. Name Date. In Exercises 1 and 2, find the number of possible outcomes in the sample space. Then list the possible outcomes.

not human choice is used to select the sample.

A Guide to Sampling for Community Health Assessments and Other Projects

Chapter 7 Homework Problems. 1. If a carefully made die is rolled once, it is reasonable to assign probability 1/6 to each of the six faces.

Transcription:

Monday, March 10th 1. Bell Work: Week #5 OAA 2. Vocabulary: Sampling Ch. 9-1 MB pg. 462 3. Notes/Examples: Sampling Ch. 9-1

1. Bell Work: Students' Lesson HeightsObjective: Students 2. Vocabulary: will identify Ch. 9.1 sampling methods and recognize 3. Notes/Examples: biased Ch. 9.1 samples 4. HW: MB pg. 464 #8-20 HW: MB pg. 464 #8-20

Learn to identify sampling methods and to recognize biased samples. Math Book page 462 Vocabulary population sample random sample systematic sample stratified sample convenience sample voluntary-response sample biased sample OH Academic Content Standards 8.5.7; 8.5.9

V.I.P. Vocabulary The population is the entire group being studied. The sample is the part of the population being surveyed.

ONE MORE TIME!!!! This must really be important! Population - the entire group being considered for a survey Sample - the part of the population being surveyed

To get accurate information, it is important to use a good sampling method. In a random sample, each member of the population has an equal chance of being selected. A random sample is best, but other methods can be used.

Systematic Sampling A sample of the population that has been selected using a pattern.

Stratified Sampling A sample of a population taken at random from randomly chosen subgroups

Convenience Sampling A sample based on members of the population that are easiest to reach

Voluntary-response a.k.a Self-selected A sample in which members choose to be in the sample

The larger the sample size, the better your sample will represent the entire population.

A. Random B. Systematic C. Stratified D. Convenience E. Voluntary-Response March 10, 2014

A. Random B. Systematic C. Stratified D. Convenience E. Voluntary-Response March 10, 2014

A. Random B. Systematic C. Stratified D. Convenience E. Voluntary-Response March 10, 2014

A. Random B. Systematic C. Stratified D. Convenience E. Voluntary-Response March 10, 2014

A. Random B. Systematic C. Stratified D. Convenience E. Voluntary-Response March 10, 2014

A. Random B. Systematic C. Stratified D. Convenience E. Voluntary-Response March 10, 2014

A. Random B. Systematic C. Stratified D. Convenience E. Voluntary-Response March 10, 2014

A. Random B. Systematic C. Stratified D. Convenience E. Voluntary-Response March 10, 2014

Math Humor Did you hear the news that everyone in the world now has a telephone? In a recent survey, 100% of the people who were called said that they had one. March 10, 2014

A fitness magazine printed a readers survey. Statements 1, 2, and 3 are interpretations. Which do you think the magazine would use? 1. The average American exercises 3 times a week. 2. The average reader of this magazine exercises 3 times a week. 3. The average reader who responded to the survey exercises 3 times a week.

People who read fitness magazines are likely to be interested in exercise. This could make the sample biased in favor of people who exercise more times per week. March 10, 2014

Sometimes, these sampling methods result in biased samples. A biased sample does not accurately represent the population. The data collected from biased samples is not reliable.

Identifying Biased Samples A radio station manager chooses 1500 names from the local phone book to survey people about their listening habits. Population Sample Possible Bias People in the local area Up to 1500 people who take the survey Not all people are in the phone book

An advice columnist asks her readers to write in with their opinions about how to hang the toilet paper on the roller. Population Sample Possible Bias Readers of the column Readers who write in Only readers with strong opinions write in.

An eighth grade student council member polls classmates about a new school mascot. Population Sample Possible Bias

The United States Census Bureau conducts a survey every ten years to determine the population of the United States. The first U.S. census taken was in 1790. Two hundred men rode on horseback to count the number of people in each household, and data was recorded on small scraps of paper. This census cost the government just $45,000! Until 1960, the population survey was conducted mostly door to door. At that time, bureau officials realized that this method was inefficient because the population was growing rapidly and becoming more mobile and diverse. By 1980, 90% of the census was taken by mail. March 10, 2014

Town A: # of households with plants total number of households = Town B: # of households with plants total number of households = The percent of households with houseplants in Town A (42%) is close to the national percent. The percent of households in Town B (56%) is greater than the national percent.

Town A: # of households with pet fish total number of households = Town B: # of households with pet fish total number of households = The percent of households with pet fish in Town A (25%) is close to the national percent. The percent of households in Town B (55%) is greater than the national percent.

HW: MB page 464 #8-20 March 10, 2014

Population: sample: possible bias: deli customers; Sunday s customers; the sample does not include weekday customers. Population: sample: people who attend the team s games; people other than season ticket holders attend baseball games.

Every fifth name is called. The sample is conveniently in the hair salon. The teacher draws a question at random from the box. The visitors to the web site have chosen to be in the sample. Each study group is a randomly chosen subgroup; one person is selected at random from each one.

Population: sample: possible bias: students; students who buy the entrée; the student who buy the entrée may be the people who like the food in the cafeteria. Population: sample: possible bias: city residents; people attending the city council meeting; most citizens do not attend city council meetings. Population: sample: possible bias: trees; trees along the river; the trees sampled have a better source of water than the others.