1. value of information - gains / losses - nearness to breakeven 3. degree of accuracy 4. resources/Time 5. advance knowledge of population 6. national.

Slides:

Advertisements

Similar presentations

Sampling Fundamentals

Advertisements

Chapter 2 Samples and Populations

Faculty of Allied Medical Science Biostatistics MLST-201

Section 1.3 Experimental Design © 2012 Pearson Education, Inc. All rights reserved. 1 of 61.

Section 1.3 Experimental Design.

Chapter 5 Stratified Random Sampling n Advantages of stratified random sampling n How to select stratified random sample n Estimating population mean and.

Types of Sampling. Some Vocabulary  Homogeneous groups: All members of the group have a characteristic that is the same.  Heterogeneous groups: all.

AP Statistics C5 D2 HW: p.287 #25 – 30 Obj: to understand types of samples and possible errors Do Now: How do you think you collect data?

SAMPLING DESIGN AND PROCEDURE

Sampling-big picture Want to estimate a characteristic of population (population parameter). Estimate a corresponding sample statistic Sample must be representative.

Research Methods Chapter 5: Sampling. Sampling Purpose: To draw enough of something to make your findings generalizable Purpose: To draw enough of something.

Why sample? Diversity in populations Practicality and cost.

Statistical Inference and Sampling Introduction to Business Statistics, 5e Kvanli/Guynes/Pavur (c)2000 South-Western College Publishing.

ISSUES RELATED TO SAMPLING Why Sample? Probability vs. Non-Probability Samples Population of Interest Sampling Frame.

A new sampling method: stratified sampling

Section 5.1. Observational Study vs. Experiment  In an observational study, we observe individuals and measure variables of interest but do not attempt.

Need estimates of prevalence? Need to establish causality? EXPERIMENT Yes Objective answers by asking? No Yes SURVEY Good Poor Understanding of problem?

5.10: Stratification after Selection of Sample – Post Stratification n Situations can arise in which we cannot place sampling units into their correct.

Exploring Marketing Research William G. Zikmund

Sampling Design & Sampling Procedures Chapter 12.

Lecture 30 sampling and field work

Key terms in Sampling Sample: A fraction or portion of the population of interest e.g. consumers, brands, companies, products, etc Population: All the.

Exploring Marketing Research William G. Zikmund Chapter 16: Sampling Designs and Sampling Procedures.

Copyright 2010, The World Bank Group. All Rights Reserved. Agricultural Census Sampling Frames and Sampling Section A 1.

McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.

Experimental Design 1 Section 1.3. Section 1.3 Objectives 2 Discuss how to design a statistical study Discuss data collection techniques Discuss how to.

Agricultural and Biological Statistics. Sampling and Sampling Distributions Chapter 5.

Business Research Methods William G. Zikmund Chapter 16: Sample Designs and Sampling Procedures.

Lecture 6 Forestry 3218 Forest Mensuration II Lecture 6 Double Sampling Cluster Sampling Sampling for Discrete Variables Avery and Burkhart, Chapter 3.

Sampling Design and Analysis MTH 494 Lecture-30 Ossam Chohan Assistant Professor CIIT Abbottabad.

Population Estimation Objective : To estimate from a sample of households the numbers of animals in a population and to provide a measure of precision.

Chapter coverage Part A Part A –1: Practical tools –2: Consulting –3: Design Principles Part B (4-6) One-way ANOVA Part B (4-6) One-way ANOVA Part C (7-9)

Sampling Techniques 19 th and 20 th. Learning Outcomes Students should be able to design the source, the type and the technique of collecting data.

Learning Objectives Explain the role of sampling in the research process Distinguish between probability and nonprobability sampling Understand the factors.

7: Sampling Theory and Methods. 7-2 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials.

Sampling Methods, Sample Size, and Study Power

Data Collection & Sampling Dr. Guerette. Gathering Data Three ways a researcher collects data: Three ways a researcher collects data: By asking questions.

15-1 Chapter 15 Sampling Learning Objectives Understand... two premises on which sampling theory is based accuracy and precision for measuring sample.

Chapter 10 Sampling: Theories, Designs and Plans.

Introduction to Survey Sampling

LIS 570 Selecting a Sample.

2-1 Sample Design. Sample Subset of a larger population Population Any complete group People Sales people Stores Students Teachers.

McGraw-Hill/IrwinCopyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. SAMPLING Chapter 14.

Essentials of Marketing Research Chapter 12: Sampling Designs and Sampling Procedures.

Section 1.3 Experimental Design.

1 of 22 INTRODUCTION TO SURVEY SAMPLING October 6, 2010 Linda Owens Survey Research Laboratory University of Illinois at Chicago

Sampling technique  It is a procedure where we select a group of subjects (a sample) for study from a larger group (a population)

Probability Sampling. Simple Random Sample (SRS) Stratified Random Sampling Cluster Sampling The only way to ensure a representative sample is to obtain.

Sample size Power Random allocation R.Raveendran.

1. 2 DRAWING SIMPLE RANDOM SAMPLING 1.Use random # table 2.Assign each element a # 3.Use random # table to select elements in a sample.

Sampling Concepts Nursing Research. Population  Population the group you are ultimately interested in knowing more about “entire aggregation of cases.

RESEARCH METHODS Lecture 28. TYPES OF PROBABILITY SAMPLING Requires more work than nonrandom sampling. Researcher must identify sampling elements. Necessary.

Section 1.3 Objectives Discuss how to design a statistical study Discuss data collection techniques Discuss how to design an experiment Discuss sampling.

1.3 Experimental Design. What is the goal of every statistical Study?  Collect data  Use data to make a decision If the process to collect data is flawed,

DATA COLLECTION AND EXPERIMENTAL DESIGN SECTION 1.3 NOTES.

Chapter Eleven Sampling Fundamentals 1. Sampling Fundamentals Population Sample Census Parameter Statistic.

Statistical sampling in Audit for the NSO Comptroller & Auditor General Of India1 Stratification & Cluster Sampling.

Dr. Unnikrishnan P.C. Professor, EEE

Sampling Why use sampling? Terms and definitions

Essentials of Marketing Research William G. Zikmund

RESEARCH METHODS Lecture 28

CHAPTER 4 Designing Studies

Population and samples

Meeting-6 SAMPLING DESIGN

Sampling-big picture Want to estimate a characteristic of population (population parameter). Estimate a corresponding sample statistic Sample must be representative.

Standard DA-I indicator 1.4

Data Collection and Experimental Design

Presentation transcript:

1. value of information - gains / losses - nearness to breakeven 3. degree of accuracy 4. resources/Time 5. advance knowledge of population 6. national vs. local 7. need for statistical analysis Sample Size Determination

Sample Size previous practice magic number minimum cell sizes resource limits expert judgement

Improving Sample Efficiency Measures of cost-benefit 1.stratification samples variance reduction 2. clustering samples cost reduction

Stratified Sampling

Reasons for Stratification strata are of interest variances differ costs differ

Cluster Sampling

Examples of Kinds of Clusters Population Elements U.S. adult elements College seniors Elementary school students Manufacturing firms Airline travelers Hospital patients Possible Clusters counties localities census tracts blocks households colleges schools counties localities plants airports planes hospitals

Mall Samples choosing the mall sampling at the mall –where? –when? adjusting for frequency of visit

Computing Sampling Errors Use of replication Availability of computer programs