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

Slides:



Advertisements
Similar presentations
Introduction Simple Random Sampling Stratified Random Sampling
Advertisements

7 (a) Under what circumstances is stratified random sampling procedure is considered appropriate?How would you select such samples?Explain by means of.
1 STRATIFIED SAMPLING Stratification: The elements in the population are divided into layers/groups/ strata based on their values on one/several.
Sampling u Randomization u Stratification u Proportional u Clusters u Systematic u Purposive.
QBM117 Business Statistics Statistical Inference Sampling 1.
1 1 Slide 2009 University of Minnesota-Duluth, Econ-2030(Dr. Tadesse) Chapter 7, Part B Sampling and Sampling Distributions Other Sampling Methods Other.
Complex Surveys Sunday, April 16, 2017.
SAMPLING DESIGN AND PROCEDURE
Ranked Set Sampling: Improving Estimates from a Stratified Simple Random Sample Christopher Sroka, Elizabeth Stasny, and Douglas Wolfe Department of Statistics.
Chapter 10 Sampling and Sampling Distributions
Chapter 17 Additional Topics in Sampling
STAT262: Lecture 5 (Ratio estimation)
A new sampling method: stratified sampling
Stratified Simple Random Sampling (Chapter 5, Textbook, Barnett, V
STAT 4060 Design and Analysis of Surveys Exam: 60% Mid Test: 20% Mini Project: 10% Continuous assessment: 10%
Stratified Sampling Lecturer: Chad Jensen. Sampling Methods SRS (simple random sample) SRS (simple random sample) Systematic Systematic Convenience Convenience.
5.10: Stratification after Selection of Sample – Post Stratification n Situations can arise in which we cannot place sampling units into their correct.
Formalizing the Concepts: STRATIFICATION. These objectives are often contradictory in practice Sampling weights need to be used to analyze the data Sampling.
STRATIFIED SAMPLING DEFINITION Strata: groups of members that share common characteristics Stratified sampling: the population is divided into subpopulations.
Stratified Random Sampling. A stratified random sample is obtained by separating the population elements into non-overlapping groups, called strata Select.
Sampling Moazzam Ali.
Sampling Methods Assist. Prof. E. Çiğdem Kaspar,Ph.D.
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
1 1 Slide © 2009 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
July, 2014 HQ Sampling. AGENDA 1. A brief Overview of Sampling 2. Types of Random Sampling Simple Random and Systematic Random 3. Types of Probability.
1 1 Slide © 2005 Thomson/South-Western Slides Prepared by JOHN S. LOUCKS St. Edward’s University Slides Prepared by JOHN S. LOUCKS St. Edward’s University.
1 Ratio estimation under SRS Assume Absence of nonsampling error SRS of size n from a pop of size N Ratio estimation is alternative to under SRS, uses.
Agricultural and Biological Statistics. Sampling and Sampling Distributions Chapter 5.
CHAPTER 12 DETERMINING THE SAMPLE PLAN. Important Topics of This Chapter Differences between population and sample. Sampling frame and frame error. Developing.
Lecture 6 Forestry 3218 Forest Mensuration II Lecture 6 Double Sampling Cluster Sampling Sampling for Discrete Variables Avery and Burkhart, Chapter 3.
Chapter 7 The Logic Of Sampling. Observation and Sampling Polls and other forms of social research rest on observations. The task of researchers is.
Sampling Design and Analysis MTH 494 LECTURE-12 Ossam Chohan Assistant Professor CIIT Abbottabad.
Lecture 4. Sampling is the process of selecting a small number of elements from a larger defined target group of elements such that the information gathered.
Sampling Methods. Probability Sampling Techniques Simple Random Sampling Cluster Sampling Stratified Sampling Systematic Sampling Copyright © 2012 Pearson.
Experiments Main role of randomization: Assign treatments to the experimental units. Sampling Main role of randomization: Random selection of the sample.
Poverty Estimation in Small Areas Agne Bikauskaite European Conference on Quality in Official Statistics (Q2014) Vienna, 3-5 June 2014.
Aim: How do we use sampling distributions for proportions? HW5: complete last slide.
7: Sampling Theory and Methods. 7-2 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials.
Chapter 6: 1 Sampling. Introduction Sampling - the process of selecting observations Often not possible to collect information from all persons or other.
1 Chapter 2: Sampling and Surveys. 2 Random Sampling Exercise Choose a sample of n=5 from our class, noting the proportion of females in your sample.
Chapter 10 Sampling: Theories, Designs and Plans.
LIS 570 Selecting a Sample.
7: The Logic of Sampling. Introduction Nobody can observe everything Critical to decide what to observe Sampling –Process of selecting observations Probability.
McGraw-Hill/IrwinCopyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. SAMPLING Chapter 14.
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.
1 ALLOCATION. 2 DETERMINING SAMPLE SIZE Problem: Want to estimate. How choose n to obtain a margin of error not larger than e? Solution: Solve the inequality.
Lecture 4 Forestry 3218 Avery and Burkhart, Chapter 3 Shiver and Borders, Chapter 5 Forest Mensuration II Lecture 4 Stratified Random Sampling.
STT 350: SURVEY SAMPLING Dr. Cuixian Chen Chapter 5: Stratified Random Samples Elementary Survey Sampling, 7E, Scheaffer, Mendenhall, Ott and Gerow 1 Chapter.
Statistics Definitions Part 2. Representative Sample For a sample to be representative of a population, it must possess the same characteristics as the.
Chapter 4: Designing Studies... Sampling. Convenience Sample Voluntary Response Sample Simple Random Sample Stratified Random Sample Cluster Sample Convenience.
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.
RESEARCH METHODS Lecture 28. TYPES OF PROBABILITY SAMPLING Requires more work than nonrandom sampling. Researcher must identify sampling elements. Necessary.
Statistical sampling in Audit for the NSO Comptroller & Auditor General Of India1 Stratification & Cluster Sampling.
Chapter 5 Stratified Random Samples. What is a stratified random sample and how to get one Population is broken down into strata (or groups) in such a.
RESEARCH METHODS Lecture 28
CHAPTER 4 Designing Studies
Graduate School of Business Leadership
Chapter Six Normal Curves and Sampling Probability Distributions
John Loucks St. Edward’s University . SLIDES . BY.
Sampling: Stratified vs Cluster
Meeting-6 SAMPLING DESIGN
Two-Phase Sampling (Double Sampling)
STRATIFIED SAMPLING.
2. Stratified Random Sampling.
Random sampling Carlo Azzarri IFPRI Datathon APSU, Dhaka
Observational Studies, Experiments, and Simple Random Sampling
The estimate of the proportion (“p-hat”) based on the sample can be a variety of values, and we don’t expect to get the same value every time, but the.
Metode Penelitian Pertemuan 10.
Presentation transcript:

Chapter 5 Stratified Random Sampling n Advantages of stratified random sampling n How to select stratified random sample n Estimating population mean and total n Determining sample size, allocation n Estimating population proportion; sample size and allocation n Optimal rule for choosing strata

Stratified Random Sampling n The ultimate function of stratification is to organize the population into homogeneous subsets and to select a SRS of the appropriate size from each stratum.

Stratified Random Sampling n Often-used option –May produce smaller BOE than SRS of same size –Cost per observation may be reduced –Obtain estimates of population parameters for subgroups n Useful when the population is heterogeneous and it is possible to establish strata which are reasonably homogeneous within each stratum

Chapter 5 Stratified Random Sampling Improved Sampling Designs with Auxiliary Information Chapter 6 Ratio and Regression Estimators Stratified Random Sampling

Stratified Random Sampling: Notation

Stratified Random Sampling

Stratified Random Sampling: Estimate of Mean 

Stratified Random Sampling: Estimate of Mean , BOE

Stratified Random Sampling: Estimate of Population Total 

Stratified Random Sampling: BOE for Mean  and Total , t distribution n When stratum sample sizes are small, can use t dist.

Degrees of Freedom(worksheet cont.)

Compare BOE in Stratified Random Sample and SRS (worksheet cont.) Strat. random sample has more precision

Approx. Sample Size to Estimate 

Approx. Sample Size to Estimate 

Summary: Approx. Sample Size to Estimate , 

Example: Sample Size to Estimate  (worksheet cont.)

Example: Sample Size to Estimate  (worksheet cont.)

5.5 Allocation of the Sample n Objective: obtain estimators with small variance at lowest cost. n Allocation affected by 3 factors: 1.Total number of elements in each stratum 2.Variability in each stratum 3.Cost per observation in each stratum

5.5 Allocation of the Sample: Proportional Allocation n If don’t have variability and cost information for the strata, can use proportional allocation. In general this is not the optimum choice for the stratum sample sizes.

Directly proportional to stratum size and stratum variability

n Worksheet 11

Directly proportional to stratum size and stratum variability Inversely proportional to stratum cost/obs

n Worksheet 12