Sampling methods. Population – consists of all individuals, items or objects under study Sample- a portion chosen from the population. Parameters - Measures.

Slides:

Advertisements

Similar presentations

Sampling: Final and Initial Sample Size Determination

Advertisements

Chapter 10: Sampling and Sampling Distributions

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

Sampling Prepared by Dr. Manal Moussa. Sampling Prepared by Dr. Manal Moussa.

7-1 Chapter Seven SAMPLING DESIGN. 7-2 Sampling What is it? –Drawing a conclusion about the entire population from selection of limited elements in a.

PROBABILITY AND SAMPLES: THE DISTRIBUTION OF SAMPLE MEANS.

Chapter 1: Data Collection

Statistical Methods Descriptive Statistics Inferential Statistics Collecting and describing data. Making decisions based on sample data.

Sampling and Sampling Procedures.  In most epidemiologic studies, we deal with a sample of the population  The study population may be:  An entire.

1 COMM 301: Empirical Research in Communication Kwan M Lee Lect5_1.

Sampling Methods Assist. Prof. E. Çiğdem Kaspar,Ph.D.

Sampling By Dr. Temtim Assefa.

A P STATISTICS LESSON 9 – 1 ( DAY 1 ) SAMPLING DISTRIBUTIONS.

Chapter 24 Survey Methods and Sampling Techniques

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.

Learning Objective Chapter 11 Basic Sampling Issues CHAPTER eleven Basic Sampling Issues Copyright © 2000 by John Wiley & Sons, Inc.

Sampling January 9, Cardinal Rule of Sampling Never sample on the dependent variable! –Example: if you are interested in studying factors that lead.

Econ 3790: Business and Economics Statistics Instructor: Yogesh Uppal

Sampling Distribution

Introducing Communication Research 2e © 2014 SAGE Publications Chapter Eight Sampling: Who, What and How Many?

What are the Odds? Sampling Theory and Logic. Let’s Be Realistic… It’s unlikely you’ll be in a position to do much sampling in your daily work Important.

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

Chapter 11 – 1 Chapter 7: Sampling and Sampling Distributions Aims of Sampling Basic Principles of Probability Types of Random Samples Sampling Distributions.

1 Hair, Babin, Money & Samouel, Essentials of Business Research, Wiley, Learning Objectives: 1.Understand the key principles in sampling. 2.Appreciate.

Sampling Methods.

McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved. Part Two THE DESIGN OF RESEARCH.

Sampling “Sampling is the process of choosing sample which is a group of people, items and objects. That are taken from population for measurement and.

Chapter 7: Sampling and Sampling Distributions

McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved. Part Two THE DESIGN OF RESEARCH.

Sampling Chapter 1. EQT 373 -L2 Why Sample? Selecting a sample is less time-consuming than selecting every item in the population (census). Selecting.

Confidence Intervals: The Basics BPS chapter 14 © 2006 W.H. Freeman and Company.

Learning Objectives Copyright © 2002 South-Western/Thomson Learning Basic Sampling Issues CHAPTER twelve.

BUS216 Spring  Simple Random Sample  Systematic Random Sampling  Stratified Random Sampling  Cluster Sampling.

Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 7-1 Chapter 7 Sampling Distributions Basic Business Statistics.

Notes 1.3 (Part 1) An Overview of Statistics. What you will learn 1. How to design a statistical study 2. How to collect data by taking a census, using.

Chapter Ten Copyright © 2006 John Wiley & Sons, Inc. Basic Sampling Issues.

Lecture VI Statistics. Lecture questions Mathematical statistics Sampling Statistical population and sample Descriptive statistics.

Chapter 6 Conducting & Reading Research Baumgartner et al Chapter 6 Selection of Research Participants: Sampling Procedures.

 When every unit of the population is examined. This is known as Census method.  On the other hand when a small group selected as representatives of.

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

SAMPLING Why sample? Practical consideration – limited budget, convenience, simplicity. Generalizability –representativeness, desire to establish the broadest.

Copyright © 2011, 2005, 1998, 1993 by Mosby, Inc., an affiliate of Elsevier Inc. Chapter 13: Boundary Setting in Experimental-Type Designs A deductive.

Chapter 7 Data for Decisions. Population vs Sample A Population in a statistical study is the entire group of individuals about which we want information.

1 Research Methods in AD/PR COMM 420 Section 8 Tuesday / Thursday 3:35 pm -5:30 pm 143 Stuckeman Nan Yu 2007 Fall_COMM 420_Week NY.

Copyright © 2014, 2011 Pearson Education, Inc. 1 Active Learning Lecture Slides For use with Classroom Response Systems Chapter 13 Samples and Surveys.

Plan for Today: Chapter 1: Where Do Data Come From? Chapter 2: Samples, Good and Bad Chapter 3: What Do Samples Tell US? Chapter 4: Sample Surveys in the.

PRESENTED BY- MEENAL SANTANI (039) SWATI LUTHRA (054)

Sampling Design and Procedure

Discrete Math Section 17.5 Recognized types of sampling procedures and estimate population characteristics based on samples The purpose of sampling is.

Sampling Meaning, Types, Procedure

Sampling Chapter 5.

Part Two THE DESIGN OF RESEARCH

Sampling Designs and Sampling Procedures

Developing the Sampling Plan

Population and samples

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 .

Basic Sampling Issues.

Sampling Distribution

Sampling Distribution

Unit 5 Notebook Pages 31 -.

Random Samples Random digit table

نمونه گيري و انواع آن تدوین کننده : ملیکه سادات ابراهیمی

CHAPTER eleven Basic Sampling Issues

Random Samples Random digit table

Data Collection and Sampling Techniques

EQ: What is a “random sample”?

Presentation transcript:

Sampling methods

Population – consists of all individuals, items or objects under study Sample- a portion chosen from the population. Parameters - Measures in the population Statistics - Measures in a sample

Reason for taking sample Infinite population Wide survey area Results require in a short time Limited resources of money and enumaration

Sampling error- The discrepency between a parameter and its estimate due to sampling process Non-sampling error –other errors except sampling procedure Advantages of sampling -saves time and labour -Minimum budget -Only way for large and infinite

Types of sampling 1.Probability sampling – selection of sampling under known probabilities. 2. Purposive sampling – selection of sampling under a purpose. 3. Mixed sampling – partly under probability and partly under fixed sampling rule.

Sampling methods 1.Simple random sampling – all individual in the population have equal chances for selection of sample. 2.Staratified sampling – division of subgroups with homogenity and selection of random samples from each subgroups 3.Systematic sampling – the first unit selected at random - The other units got selected under some pre- designed pattern.