'Simple random sampling' presentation slideshows

RESEARCH METHODOLOGY FEM 3002, Credit Hour = 3(2+1) face to face 2, APRIL 2015

RESEARCH METHODOLOGY FEM 3002, Credit Hour = 3(2+1) face to face 2, APRIL 2015. Instructor : Siti Nor Binti Yaacob Department of Human Development and Family Studies Faculty of Human Ecology Universiti Putra Malaysia Contact #: 012- 284-1844 Email: sitinor@putra.upm.edu.my.

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Sampling

Sampling. Ms. Nithyashree B V Lecturer YNC. Terminology. Population : The total set of units. Population is the aggregation of all the units in which a researcher is interested. Population is a set of people or entities to which the results of a research are to be generalized.

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Experimental Design

Experimental Design. Playing with variables. The nature of experiments. allow the investigator to control the research situation so that causal relationships among variables may be evaluated

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Population and sample

Population and sample. Chavanant Sumanasrethakul MD., M.Sc. Department of Preventive and Social Medicine BMA Medical College and Vajira Hospital 13 Oct 2009. ???????????????????????????. ???????????????????????????????????

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SAMPLING METHODS

SAMPLING METHODS. Dr. KANUPRIYA CHATURVEDI. LEARNING OBJECTIVES. Learn the reasons for sampling Develop an understanding about different sampling methods Distinguish between probability & non probability sampling Discuss the relative advantages & disadvantages of each sampling methods.

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Chapter 7 Sampling and Sampling Distributions

Sampling Distribution of. Sampling Distribution of p. Chapter 7 Sampling and Sampling Distributions. Simple Random Sampling. Point Estimation. Introduction to Sampling Distributions. Statistical Inference. The purpose of statistical inference is to obtain

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Overview of Chapter IV: Statistical Tools and Estimation Methods for Poverty Measures

Overview of Chapter IV: Statistical Tools and Estimation Methods for Poverty Measures. John Gibson Department of Economics University of Canterbury New Zealand. Overall Aim of the Chapter. Attempt to describe tools that are simple

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Data Collection and Presentation

Data Collection and Presentation. Still John F. Reyes. PART 1. Methods of Data Collection. Characteristics of a Good Question A good question is unbiased.

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Experiment Basics: Variables

Experiment Basics: Variables. Psych 231: Research Methods in Psychology. Journal summary 1 due in labs this week See link on syllabus. Announcements. Independent variables (explanatory) Dependent variables (response) Extraneous variables Control variables Random variables

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SAMPLING

SAMPLING. EDUCATIONAL RESEARCH. WHY SAMPLE?. Not needed when can access entire population. Must sample when not feasible to access entire population. Sample Should Be Representative of the Larger Population. IMPORTANT TERMS. Sample --subset of people selected to study

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Chapter 7

Chapter 7. The Logic Of Sampling. Chapter Outline. Introduction A Brief History of Sampling Nonprobability Sampling The Theory and Logic of Probability Sampling. Chapter Outline. Populations and Sampling Frames Types of Sampling Designs Multistage Cluster Sampling

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Sampling

Sampling . The Statistical Adventure Begins. Populations. Def: Census Sample Which is better? census? sample?. Step 1: Define the Target Population. Must be very specific: What is a user? What demographics matter? Are there geographic boundaries? What is the relevant time period?

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Sampling in Marketing Research

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Chap 7 : Survey Sampling

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Diabetes and Risk Factors How to conduct prevalence studies Dhaka, August 1, 2005

Diabetes and Risk Factors How to conduct prevalence studies Dhaka, August 1, 2005. A. Samad Shera, TI, SI, FRCP Honorary President, International Diabetes Federation (IDF) Director, WHO Collaborating Centre Member, WHO International Expert Advisory Panel on Diabetes

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Simple Random Sampling

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The Logic of Sampling

The Logic of Sampling. Nonprobability Sampling. Convenience Sampling Purposive or Judgmental Sampling Snowball Sampling Quota Sampling. The Logic of Probability Sampling. A sample must reflect the same degree of variation as the actual population.

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Lesson 1 - 2

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