Chapter 14: Censuses, Surveys, Polls and Studies Enumeration
|
|
- Ferdinand Summers
- 5 years ago
- Views:
Transcription
1 Chapter 14: Censuses, Surveys, Polls and Studies 14.1 Enumeration
2 Bell Work Take out a blank piece of lined paper and a writing utensil. #1 Statistics are about. #2 Did the Saudi Arabian people largely underestimate or overestimate the percentage of overweight/obese people in their country? #3 What would you say is the main idea of the TED Talk we watched yesterday? #4 What was one statistic you personally underestimated or overestimated in the online quiz we saw yesterday? What might be a reason for this? Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
3 Population and N-Value Enumerated = Population the term used to describe the individuals being counted. The individuals can be people, animals, plants, objects, etc. A population is well-defined when we can determine if the individuals belong to the given population. N-value the number of individuals in the population Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
4 Finding the N-value Finding the exact N-value of a large and elusive population can be extremely difficult and sometimes impossible. A census is an official count of the entire population. When would a census be difficult/impossible? In many cases, a good estimate is all we really need, and such estimates are possible through sampling methods. Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
5 Surveys for Enumeration Survey a data collection strategy that uses a sample to draw inferences about a population Sample a subset of the population chosen to be the providers of information in a survey Sampling the act of selecting a sample Statistic a numerical estimate of some measureable characteristic of a population obtained from a sample (usually an educated guess) Parameter a true measurement of some characteristic of a population, typically an unknown quantity Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
6 Example 14.4 Page 419 Defective Lightbulbs N 100,000 In general k n N P Where n = number in sample, k = # of individuals in sample having desired characteristic, P = total pop, N = # of individuals in pop w/ desired characteristic Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
7 Example As part of a sixth-grade class project the teacher brings to class a large jar containing 200 gumballs of two different colors: red and green. Andy is asked to draw a sample of his own choosing and estimate the number of red gumballs in the jar. Andy draws a sample of 25 gumballs, of which 8 are red and 17 are green. Use Andy s sample to estimate the number of red gumballs in the jar. Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
8 THE CAPTURE-RECAPTURE METHOD Step 1. Capture (sample): Capture (choose) a sample of size n 1, tag (mark, identify) the animals (objects, people), and release them back into the general population. Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
9 THE CAPTURE-RECAPTURE METHOD Step 2. Recapture (resample): After a certain period of time, capture a new sample of size n 2 and take an exact head count of the tagged individuals (i.e., those that were also in the first sample). Call this number k. Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
10 THE CAPTURE-RECAPTURE METHOD Step 3. Estimate: The N-value of the population can be estimated using the following proportion k n 1 n 2 N Where k = # tagged individuals in second sample n 2 = # of individuals in second sample n 1 = # of individuals in first sample N = what we are estimating Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
11 Example: Small Fish in a Big Pond A large pond is stocked with catfish. As part of a research project we need to estimate the number of catfish in the pond. An actual head count is out of the question (short of draining the pond), so our best bet is the capture-recapture method. Step 1. For our first sample we capture a predetermined number n 1 of catfish, say n 1 = 200. The fish are tagged and released unharmed back in the pond. Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
12 Example: Small Fish in a Big Pond Step 2. After giving enough time for the released fish to mingle and disperse throughout the pond, we capture a second sample of n 2 catfish. While n 2 does not have to equal n 1, it is a good idea for the two samples to be of approximately the same order of magnitude. Let s say that n 2 = 150. Of the 150 catfish in the second sample, 21 have tags (were part of the original sample). Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
13 Example: Small Fish in a Big Pond Assuming the second sample is representative of the catfish population in the pond, the ratio of tagged fish in the second sample (21/150) is approximately the same as the ratio of tagged fish in the pond (200/N). This gives the approximate proportion k n 1 n 2 N N Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
14 14.1 Assignment (pg. 438) #2-8 Copyright Pearson Education, Education. Inc. All rights reserved. Excursions in Modern Mathematics, 7e:
Capture-Recapture Lesson Plan (Grades 6-8)
Capture-Recapture Lesson Plan (Grades 6-8) Objectives: Recognize equivalent ratios Determine good and poor estimates Solve proportions to estimate population size Materials*: Estimating Population Size
More informationChapter 3 Monday, May 17th
Chapter 3 Monday, May 17 th Surveys The reason we are doing surveys is because we are curious of what other people believe, or what customs other people p have etc But when we collect the data what are
More informationMany strategies can be used to add numbers, such as drawings, mind math, manipulatives, calculators or pencil and paper.
Adding and Subtracting Whole Numbers Adding Whole Numbers Adding numbers and quantities are skills used in many workplace situations, such as warehouse work. Many strategies can be used to add numbers,
More informationSocial Studies 201 Notes for November 8, 2006 Sampling distributions Rest of semester For the remainder of the semester, we will be studying and
1 Social Studies 201 Notes for November 8, 2006 Sampling distributions Rest of semester For the remainder of the semester, we will be studying and working with inferential statistics estimation and hypothesis
More informationStatistics and Data Long-Term Memory Review Review 1
Review 1 1. Choose from the words below to complete the sentence: When collecting data using a survey, you can choose to ask everyone in your target group, which is called a census, or you can choose a,
More informationThere is no class tomorrow! Have a good weekend! Scores will be posted in Compass early Friday morning J
STATISTICS 100 EXAM 3 Fall 2016 PRINT NAME (Last name) (First name) *NETID CIRCLE SECTION: L1 12:30pm L2 3:30pm Online MWF 12pm Write answers in appropriate blanks. When no blanks are provided CIRCLE your
More informationMarch 10, Monday, March 10th. 1. Bell Work: Week #5 OAA. 2. Vocabulary: Sampling Ch. 9-1 MB pg Notes/Examples: Sampling Ch.
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
More informationTerm 4 Test 3 Graded Assignment 1 Extra Practice
Algebra 2 p l2c0sa5j UKcustTaw WSeozfZtlwzaZr\eh slql^cf.b H OAKlYlc ZriiEgWhotAsb Lrwe\sXenrEvgeOdy. Term 4 Test 3 Graded Assignment Extra Practice State if each scenario involves a permutation or a combination.
More informationStatistical Measures
Statistical Measures Pre-Algebra section 10.1 Statistics is an area of math that deals with gathering information (called data). It is often used to make predictions. Important terms: Population A population
More information3. Data and sampling. Plan for today
3. Data and sampling Business Statistics Plan for today Reminders and introduction Data: qualitative and quantitative Quantitative data: discrete and continuous Qualitative data discussion Samples and
More informationThe collection, organization and interpretation of data. What do you remember about stats?
Statistics The collection, organization and interpretation of data Dec 4 10:25 AM What do you remember about stats? Dec 4 10:26 AM 1 Mean Median Mode Range By: Sarah Capehart EDTC 4001-001 East Carolina
More informationMAT 1272 STATISTICS LESSON STATISTICS AND TYPES OF STATISTICS
MAT 1272 STATISTICS LESSON 1 1.1 STATISTICS AND TYPES OF STATISTICS WHAT IS STATISTICS? STATISTICS STATISTICS IS THE SCIENCE OF COLLECTING, ANALYZING, PRESENTING, AND INTERPRETING DATA, AS WELL AS OF MAKING
More informationOn a loose leaf sheet of paper answer the following questions about the random samples.
7.SP.5 Probability Bell Ringers On a loose leaf sheet of paper answer the following questions about the random samples. 1. Veterinary doctors marked 30 deer and released them. Later on, they counted 150
More informationBasic Probability Ideas. Experiment - a situation involving chance or probability that leads to results called outcomes.
Basic Probability Ideas Experiment - a situation involving chance or probability that leads to results called outcomes. Random Experiment the process of observing the outcome of a chance event Simulation
More informationElements of the Sampling Problem!
Elements of the Sampling Problem! Professor Ron Fricker! Naval Postgraduate School! Monterey, California! Reading Assignment:! 2/1/13 Scheaffer, Mendenhall, Ott, & Gerow,! Chapter 2.1-2.3! 1 Goals for
More informationTrial version. Resistor Production. How can the outcomes be analysed to optimise the process? Student. Contents. Resistor Production page: 1 of 15
Resistor Production How can the outcomes be analysed to optimise the process? Resistor Production page: 1 of 15 Contents Initial Problem Statement 2 Narrative 3-11 Notes 12 Appendices 13-15 Resistor Production
More informationBird Watching. What You Need. Find Out. Process Skills. Time. Do this activity to find out some kinds of birds that are in your school neighborhood.
Chapter 3 Plants and Animals Chapter Science Investigation Bird Watching What You Need birdseed bird feeder bird guide crayons Find Out Do this activity to find out some kinds of birds that are in your
More informationSampling Terminology. all possible entities (known or unknown) of a group being studied. MKT 450. MARKETING TOOLS Buyer Behavior and Market Analysis
Sampling Terminology MARKETING TOOLS Buyer Behavior and Market Analysis Population all possible entities (known or unknown) of a group being studied. Sampling Procedures Census study containing data from
More informationOverview of the Course Population Size
Overview of the Course Population Size CDC 103 Lecture 1 February 5, 2012 Course Description: This course focuses on the basic measures of population size, distribution, and composition and the measures
More informationSampling distributions and the Central Limit Theorem
Sampling distributions and the Central Limit Theorem Johan A. Elkink University College Dublin 14 October 2013 Johan A. Elkink (UCD) Central Limit Theorem 14 October 2013 1 / 29 Outline 1 Sampling 2 Statistical
More informationChapter 1: Economic and Social Indicators Comparison of BRICS Countries Chapter 2: General Chapter 3: Population
1: Economic and Social Indicators Comparison of BRICS Countries 2: General 3: Population 3: Population 4: Economically Active Population 5: National Accounts 6: Price Indices 7: Population living standard
More informationCCMR Educational Programs
CCMR Educational Programs Title: Date Created: August 6, 2006 Author(s): Appropriate Level: Abstract: Time Requirement: Joan Erickson Should We Count the Beans one at a time? Introductory statistics or
More informationTEACHER NOTES MIDDLE GRADES SCIENCE NSPIRED
Science Objectives Students will explore an animation of particle flow in a battery. Students will vary the electron flow in a DC circuit with a battery of varying voltages and one, two, and three resistors.
More informationPolls, such as this last example are known as sample surveys.
Chapter 12 Notes (Sample Surveys) In everything we have done thusfar, the data were given, and the subsequent analysis was exploratory in nature. This type of statistical analysis is known as exploratory
More informationIt s good to share... Understanding the quality of the 2011 Census in England and Wales
It s good to share... Understanding the quality of the 2011 Census in England and Wales SRA Conference, London, December 2012 Adriana Castaldo Andrew Charlesworth AGENDA Context: 2011 Census quality assurance
More informationIntroduction. Descriptive Statistics. Problem Solving. Inferential Statistics. Chapter1 Slides. Maurice Geraghty
Inferential Statistics and Probability a Holistic Approach Chapter 1 Displaying and Analyzing Data with Graphs This Course Material by Maurice Geraghty is licensed under a Creative Commons Attribution-ShareAlike
More informationLesson 13: Populations, Samples, and Generalizing from a Sample to a Population
Lesson 13 Lesson 13: Populations, Samples, and Generalizing from a Sample to a Population Classwork In this lesson, you will learn about collecting data from a sample that is selected from a population.
More information\1ANUAL. Corrigendum No. 1
ST/SOA/SERIES.A/ Population Studies No. 10 MANUAL ON METIIODS OF ESTIMATING POPULATION \1ANUAL I METHODS OF ESTIMATING TOTAL POPULATION FOR CURRENT DATES Corrigendum No. 1 Page 28, second column, line
More informationRatios, Rates & Proportions
Slide 1 / 130 Ratios, Rates & Proportions Table of Contents Click on the topic to go to that section Slide 2 / 130 Writing Ratios Equivalent Ratios Rates Writing an Equivalent Rate Proportions Application
More informationSlide 1 / 130. Ratios, Rates & Proportions
Slide 1 / 130 Ratios, Rates & Proportions Slide 2 / 130 Table of Contents Click on the topic to go to that section Writing Ratios Equivalent Ratios Rates Writing an Equivalent Rate Proportions Application
More informationEconomic and Social Council
UNITED NATIONS E Economic and Social Council Distr. GENERAL ECE/CES/GE.41/2009/18 19 August 2009 Original: ENGLISH ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Group of Experts on
More informationDigit preference in Nigerian censuses data
Digit preference in Nigerian censuses data of 1991 and 2006 Tukur Dahiru (1), Hussaini G. Dikko (2) Background: censuses in developing countries are prone to errors of age misreporting due to ignorance,
More informationChapter 5 - Elementary Probability Theory
Chapter 5 - Elementary Probability Theory Historical Background Much of the early work in probability concerned games and gambling. One of the first to apply probability to matters other than gambling
More informationa) Getting 10 +/- 2 head in 20 tosses is the same probability as getting +/- heads in 320 tosses
Question 1 pertains to tossing a fair coin (8 pts.) Fill in the blanks with the correct numbers to make the 2 scenarios equally likely: a) Getting 10 +/- 2 head in 20 tosses is the same probability as
More informationMETHODOLOGY OF AGGREGATION OF POPULATION DATA FROM CENSUS DATA TO GRID DATA
METHODOLOGY OF AGGREGATION OF POPULATION DATA FROM CENSUS DATA TO GRID DATA 2 nd EUROGI imagine Conference 2014 Stephanie Hirner Federal Statistical Office of Germany Census Contents Census Model in Germany
More informationMathematical Language
NOTES Supplies Calculator Blank 3-by-5 index cards (at least 10 per student) Colored markers Mathematical Language Variable a quantity whose value changes or varies. A variable could also be defined as
More informationMidterm 2 Practice Problems
Midterm 2 Practice Problems May 13, 2012 Note that these questions are not intended to form a practice exam. They don t necessarily cover all of the material, or weight the material as I would. They are
More informationName Date Class. Elephants 12 Giraffes 8 Lions 9 Seals 10 Otters 16
Name Date Class Practice and Problem Solving: A/B The number of animals at the zoo is shown in the table. Write each ratio in three different ways. 1. lions to elephants Animals in the Zoo 2. giraffes
More informationGrade 5 Math. Numeracy: Text Chapter 2
Grade 5 Math Numeracy: Text Chapter 2 Standard Form All numbers with spaces between periods (groups of 3 starting at place value 1) Large whole numbers are arranged in groups of three digits called periods.
More informationGrades 6 8 Innoventure Components That Meet Common Core Mathematics Standards
Grades 6 8 Innoventure Components That Meet Common Core Mathematics Standards Strand Ratios and Relationships The Number System Expressions and Equations Anchor Standard Understand ratio concepts and use
More informationStats: Modeling the World. Chapter 11: Sample Surveys
Stats: Modeling the World Chapter 11: Sample Surveys Sampling Methods: Sample Surveys Sample Surveys: A study that asks questions of a small group of people in the hope of learning something about the
More informationGCSE Mathematics Practice Tests: Set 1
GCSE Mathematics Practice Tests: Set 1 Paper 3H (Calculator) Time: 1 hour 30 minutes You should have: Ruler graduated in centimetres and millimetres, protractor, pair of compasses, pen, HB pencil, eraser,
More informationSection 6.4. Sampling Distributions and Estimators
Section 6.4 Sampling Distributions and Estimators IDEA Ch 5 and part of Ch 6 worked with population. Now we are going to work with statistics. Sample Statistics to estimate population parameters. To make
More informationPercentage Change in Population for Nebraska Counties: 2010 to 2016
Percentage Change in Population for Nebraska Counties: 2010 to 2016 Percentage Change in Population: 2010-2016 State of Nebraska Increased by 4.4% from 2010-2016 Population Loss of more than 5% (17 counties)
More informationWorkshop on the Improvement of Civil Registration and Vital Statistics in SADC Region Blantyre, Malawi 1 5 December 2008
United Nations Statistics Division Southern African Development Community Pre-workshop assignment 1 Workshop on the Improvement of Civil Registration and Vital Statistics in SADC Region Blantyre, Malawi
More informationGrade 6 Math. Numeracy: Text Chapter 2
Grade 6 Math Numeracy: Text Chapter 2 Standard Form All numbers with spaces between periods (groups of 3 starting at place value 1) Large whole numbers are arranged in groups of three digits called periods.
More informationEconomic Census: Indonesia s Experience. Titi Kanti Lestari. Wikaningsih REGIONAL SEMINAR ON INTERNATIONAL TRADE STATISTICS
Economic Census: Indonesia s Experience Titi Kanti Lestari & Wikaningsih REGIONAL SEMINAR ON INTERNATIONAL TRADE STATISTICS Beijing, 24 26 October 2011 1 Outline Introduction Indonesia Economic census
More informationMathematics Assessment Program. Middle School Mathematics. Time Allowed Section A - 40 minutes; Section B - 40 minutes
Mathematics Assessment Program MS - 5 Middle School Mathematics Time Allowed Section A - 40 minutes; Section B - 40 minutes These tasks give you a chance to show what you know and how you reason, and to
More informationMonitoring the SDGs by means of the census
RESEARCH BRIEF Monitoring the SDGs by means of the census RESEARCH LEAD: TOM A MOULTRIE, UNIVERSITY OF CAPE TOWN - CENTRE FOR ACTUARIAL RESEARCH 1 CONCEPT DEFINING IDEAS Population-related elements are
More informationStat472/572 Sampling: Theory and Practice Instructor: Yan Lu Albuquerque, UNM
Stat472/572 Sampling: Theory and Practice Instructor: Yan Lu Albuquerque, UNM 1 Chapter 1: Introduction Three Elements of Statistical Study: Collecting Data: observational data, experimental data, survey
More informationFINAL REPORT. Project Title: Investigating Stakeholder Perceptions of Aquatic Plant Management on J. Strom Thurmond Lake
FINAL REPORT Date Submitted: September 30, 2013 CESU Cooperative: W912HZ-12-2-0013 Project Period: 8/13/2012 9/30/2013 Recipient Organization: University of Georgia Recipient Contact Person: Dr. Susan
More informationThursday 26 May 2016 Morning Time allowed: 1 hour
Please write clearly in block capitals. Centre number Candidate number Surname Forename(s) Candidate signature GCSE F MATHEMATICS Foundation Tier Unit 1 Statistics and Number Thursday 26 May 2016 Morning
More informationGuide on use of population data for health intelligence in Wales
Guide on use of population data for health intelligence in Wales Key messages Population figures are not exact, but an approximation and can differ according to source and method Populations vary continuously
More informationCENSUS DATA COLLECTION IN MALTA
CENSUS DATA COLLECTION IN MALTA 30 November 2016 Dorothy Gauci Head of Unit Population and Migration Statistics Overview Background Methodology Focus on migration Conclusion Pop at end 2015: 434,403 %
More informationMonday, 1 December 2014
Monday, 1 December 2014 9:30 10:00 Welcome/opening remarks Introduction of the participants 10:00-11:00 Introduction to evaluation of census data Objectives of evaluation of census data, types and sources
More informationAn assessment of household deaths collected during Census 2011 in South Africa. Christine Khoza, PhD Statistics South Africa
An assessment of household deaths collected during Census 2011 in South Africa By Christine Khoza, PhD Statistics South Africa 1 Table of contents 1. Introduction... 2 2. Preliminary evaluation of samples
More informationChapter 4: Sampling Design 1
1 An introduction to sampling terminology for survey managers The following paragraphs provide brief explanations of technical terms used in sampling that a survey manager should be aware of. They can
More informationRecall Bias on Reporting a Move and Move Date
Recall Bias on Reporting a Move and Move Date Travis Pape, Kyra Linse, Lora Rosenberger, Graciela Contreras U.S. Census Bureau 1 Abstract The goal of the Census Coverage Measurement (CCM) for the 2010
More informationCombinatorics. Chapter Permutations. Counting Problems
Chapter 3 Combinatorics 3.1 Permutations Many problems in probability theory require that we count the number of ways that a particular event can occur. For this, we study the topics of permutations and
More informationLOGO GENERAL STATISTICS OFFICE OF VIETNAM
THE 2009 POPULATION AND HOUSING CENSUS OF VIETNAM: INNOVATION AND ACHIEVEMENTS LOGO 1 Main contents INTRODUCTION CENSUS SUBJECT - MATTERS INNOVATION OF THE 2009 CENSUS ACHIEVEMENTS OF THE 2009 CENSUS 2
More informationDecision Making Process for Adoption of Electronic Data Collection. Dr. Amara Satharasinghe Department of Census & Statistics Sri Lanka
Dr. Amara Satharasinghe Department of Census & Statistics Sri Lanka Overview Decision Making Process for Adoption History of taking Population and Housing Census Data Capturing prior to 2011 Data Capturing
More informationRURAL, AGRICULTURAL & FISHERY CENSUS IN VIETNAM
APCAS/16/6.2.5 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-SIXTH SESSION Thimphu, Bhutan, 15-19 February 2016 Agenda Item 6.2 RURAL, AGRICULTURAL & FISHERY CENSUS IN VIETNAM Contributed
More informationEstimation of the number of Welsh speakers in England
Estimation of the number of ers in England Introduction The number of ers in England is a topic of interest as they must represent the major part of the -ing diaspora. Their numbers have been the matter
More informationMathematics (Project Maths)
2010. M128 S Coimisiún na Scrúduithe Stáit State Examinations Commission Leaving Certificate Examination Sample Paper Mathematics (Project Maths) Paper 2 Ordinary Level Time: 2 hours, 30 minutes 300 marks
More informationChapter 1 Introduction
Chapter 1 Introduction Statistics is the science of data. Data are the numerical values containing some information. Statistical tools can be used on a data set to draw statistical inferences. These statistical
More information1. Why randomize? 2. Randomization in experiental design
Statistics 101 106 Lecture 3 (22 September 98) c David Pollard Page 1 Read M&M 3.1 and M&M 3.2, but skip bit about tables of random digits (use Minitab). Read M&M 3.3 and M&M 3.4. A little bit about randomization
More informationDigit preference in Iranian age data
Digit preference in Iranian age data Aida Yazdanparast 1, Mohamad Amin Pourhoseingholi 2, Aliraza Abadi 3 BACKGROUND: Data on age in developing countries are subject to errors, particularly in circumstances
More informationUsing registers E-enumeration and CAPI Electronic map. Census process. E-enumeration. Census moment and census period E-enumeration process
COMBINED CENSUS METHODOLOGY IN 2011 CENSUS IN ESTONIA Diana Beltadze Statistics Estonia Content Choice of methodology Using registers E-enumeration and CAPI Electronic map Census process. E-enumeration
More informationSurvey Sample for the Tunisia Household and Youth Survey in Urban Areas
Survey Sample for the Tunisia Household and Youth Survey in Urban Areas Mario Navarrete and Abla Safir September 2012 BACKGROUND This Technical support and ESW is to collect timely data to produce a diagnostic
More informationAboriginal Demographics. Planning, Research and Statistics Branch
Aboriginal Demographics From the 2011 National Household Survey Planning, Research and Statistics Branch Aboriginal Demographics Overview 1) Aboriginal Peoples Size Age Structure Geographic Distribution
More informationCollege Pre-Calc Lesson Plans
January 4-8 January 11-15 January 18-22 January 25-29 Sections 9.2 Area of a Triangle Mixed Trig Exercises Section 14.1 Matrix Addition & Scalar Multiplication Section 14.5 Transition Pg 342: 1, 3, 7-13,
More information1) What is the total area under the curve? 1) 2) What is the mean of the distribution? 2)
Math 1090 Test 2 Review Worksheet Ch5 and Ch 6 Name Use the following distribution to answer the question. 1) What is the total area under the curve? 1) 2) What is the mean of the distribution? 2) 3) Estimate
More informationBeyond Counting by Ones
Beyond Counting by Ones Mathematical Activities for Developing Number Sense and Reasoning in Young Children Dr. DeAnn Huinker University of Wisconsin-Milwaukee February 2000 DeAnn Huinker, University of
More informationSome Indicators of Sample Representativeness and Attrition Bias for BHPS and Understanding Society
Working Paper Series No. 2018-01 Some Indicators of Sample Representativeness and Attrition Bias for and Peter Lynn & Magda Borkowska Institute for Social and Economic Research, University of Essex Some
More informationNational Population Estimates: March 2009 quarter
Image description. Hot Off The Press. End of image description. Embargoed until 10:45am 15 May 2009 National Population Estimates: March 2009 quarter Highlights The estimated resident population of New
More informationPermutation and Randomization Tests 1
Permutation and 1 STA442/2101 Fall 2012 1 See last slide for copyright information. 1 / 19 Overview 1 Permutation Tests 2 2 / 19 The lady and the tea From Fisher s The design of experiments, first published
More informationSample Lesson Plan for Standard 5.MD.B.2: Creating Line Plots. An Introduction to Line Plots Using Whole Numbers
Sample Lesson Plan for Standard 5.MD.B.2: Creating Line Plots An Introduction to Line Plots Using Whole Numbers Grade Level Expectations For this standard, fifth grade students are expected to create line
More informationNUMBERS & OPERATIONS. 1. Understand numbers, ways of representing numbers, relationships among numbers and number systems.
7 th GRADE GLE S NUMBERS & OPERATIONS 1. Understand numbers, ways of representing numbers, relationships among numbers and number systems. A) Read, write and compare numbers (MA 5 1.10) DOK 1 * compare
More informationGCSE MATHEMATICS 43601H. Higher Tier Unit 1 Statistics and Number. Morning. (JUN H01) WMP/Jun16/E4
Please write clearly in block capitals. Centre number Candidate number Surname Forename(s) Candidate signature GCSE H MATHEMATICS Higher Tier Unit 1 Statistics and Number Thursday 26 May 2016 Materials
More informationCHAPTER 4 Designing Studies
CHAPTER 4 Designing Studies 4.1 Samples and Surveys The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Samples and Surveys Learning Objectives After this
More informationC O V E N A N T U N I V E RS I T Y P R O G R A M M E : D E M O G R A P H Y A N D S O C I A L S TAT I S T I C S A L P H A S E M E S T E R
C O V E N A N T U N I V E RS I T Y T U T O R I A L K I T P R O G R A M M E : D E M O G R A P H Y A N D S O C I A L S TAT I S T I C S A L P H A S E M E S T E R 1 0 0 L E V E L DISCLAIMER The contents of
More informationTable of Contents Left Page
1 Left Page Table of Contents Right Page Nuggets of Knowledge 0 Table of Contents 1 Table of Contents 2 Table of Contents 3 Module 1 Learning Targts 4 Rate/Ratio/Percent Notes 5 Lesson 6 Gallery Walk 6
More informationArticle. The Internet: A New Collection Method for the Census. by Anne-Marie Côté, Danielle Laroche
Component of Statistics Canada Catalogue no. 11-522-X Statistics Canada s International Symposium Series: Proceedings Article Symposium 2008: Data Collection: Challenges, Achievements and New Directions
More informationWorkshop on Census Data Evaluation for English Speaking African countries
Workshop on Census Data Evaluation for English Speaking African countries Organised by United Nations Statistics Division (UNSD), in collaboration with the Uganda Bureau of Statistics Kampala, Uganda,
More informationAnalyzing Data Properties using Statistical Sampling Techniques
Analyzing Data Properties using Statistical Sampling Techniques Illustrated on Scientific File Formats and Compression Features Julian M. Kunkel kunkel@dkrz.de 2016-06-21 Outline 1 Introduction 2 Exploring
More informationERROR PROFILE FOR THE CENSUS 2000 DRESS REHEARSAL
ERROR PROFILE FOR THE CENSUS 2000 DRESS REHEARSAL Susanne L. Bean, Katie M. Bench, Mary C. Davis, Joan M. Hill, Elizabeth A. Krejsa, David A. Raglin, U.S. Census Bureau Joan M. Hill, U.S. Census Bureau,
More informationINTEGRATED COVERAGE MEASUREMENT SAMPLE DESIGN FOR CENSUS 2000 DRESS REHEARSAL
INTEGRATED COVERAGE MEASUREMENT SAMPLE DESIGN FOR CENSUS 2000 DRESS REHEARSAL David McGrath, Robert Sands, U.S. Bureau of the Census David McGrath, Room 2121, Bldg 2, Bureau of the Census, Washington,
More informationSECTION 5 ANALYZE YOUR DESIGN. of paper and compare the strength of the paper. among numbers, and number systems.
SECTION 5 ANALYZE YOUR DESIGN Length of Lesson: 120 min Desired Results: Mathematical Standards: 1. Students will be able to calculate the amount of materials, measure the thickness of paper and compare
More information1. How many subsets are there for the set of cards in a standard playing card deck? How many subsets are there of size 8?
Math 1711-A Summer 2016 Final Review 1 August 2016 Time Limit: 170 Minutes Name: 1. How many subsets are there for the set of cards in a standard playing card deck? How many subsets are there of size 8?
More informationPixel Response Effects on CCD Camera Gain Calibration
1 of 7 1/21/2014 3:03 PM HO M E P R O D UC T S B R IE F S T E C H NO T E S S UP P O RT P UR C HA S E NE W S W E B T O O L S INF O C O NTA C T Pixel Response Effects on CCD Camera Gain Calibration Copyright
More informationPopulation Patterns. Math 6.SP.B.4 6.SP.B.5 6.SP.B.5a 6.SP.B.5b 7.SP.B.3 7.SP.A.2 8.SP.A.1. Time: 45 minutes. Grade Level: 3rd to 8th
Common Core Standards Math 6.SP.B.4 6.SP.B.5 6.SP.B.5a 6.SP.B.5b 7.SP.B.3 7.SP.A.2 8.SP.A.1 Vocabulary Population carrying capacity predator-prey relationship habitat Summary: Students are introduced to
More informationlarge group of moving shorebirds (or other organism).
Bird Beans Grade Level: upper elementary/ middle school Duration: 30-40 minutes Skills: critical thinking, comparison, collection and interpretation of data, vocabulary, discussion, and visualization Subjects:
More informationCounting the People of Rwanda
Republic of Rwanda National Institute of Statistics of Rwanda www.statistics.gov.rw Counting the People of Rwanda 2012 Population and Housing Census Be counted because you count Be counted because you
More informationSample Surveys. Chapter 11
Sample Surveys Chapter 11 Objectives Population Sample Sample survey Bias Randomization Sample size Census Parameter Statistic Simple random sample Sampling frame Stratified random sample Cluster sample
More informationLecture 3. Lecture Outline. 1. Turn in Homework 2. Sampling Quiz 3. Essay Writing Lecture. Assignments
Lecture 3 Lecture Outline 1. Turn in Homework 2. Sampling Quiz 3. Essay Writing Lecture Assignments 1. Thesis Activity 2. Review Essay 3. Improving the Paper Preparation for Next Class 1. Read Chapter
More informationIntroduction. (Good) Sources of Drug Use Data [drugdata.pdf]
(Good) Sources of Drug Use Data [drugdata.pdf] How to Find Out How Many Americans Use Drugs and the Methodological Issues in Drug Research copyright 2006 Michael Hallstone 1 Introduction The purpose of
More informationMultiple representations in the real world Student Activity Sheet 1; use with Overview
Student Activity Sheet 1; use with Overview 1. Anthony's father is going to put a tile border around this square fish pond. The pond is 1 yard on each side. The tiles are squares that are 1 foot on each
More information2011 National Household Survey (NHS): design and quality
2011 National Household Survey (NHS): design and quality Margaret Michalowski 2014 National Conference Canadian Research Data Center Network (CRDCN) Winnipeg, Manitoba, October 29-31, 2014 Outline of the
More informationChapter 12 Summary Sample Surveys
Chapter 12 Summary Sample Surveys What have we learned? A representative sample can offer us important insights about populations. o It s the size of the same, not its fraction of the larger population,
More informationSAMPLING. A collection of items from a population which are taken to be representative of the population.
SAMPLING Sample A collection of items from a population which are taken to be representative of the population. Population Is the entire collection of items which we are interested and wish to make estimates
More information