Surveys 3-5 December 2003 DRAFT Sampling frames and master samples * by Anthony G. Turner ** * ** This document is being issued without formal editing. The views expressed in this paper are those of the author and do not imply the expression of any opinion on the part of the United Nations Secretariat. Table of contents Chapter Three: Sampling frames and master samples ...................................................................3 A. Sampling frames and their development ....
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populations Because it is impossible to count all the members of a large community‚ some form of sampling has to be used. The size of the sample depends on the area to be investigated‚ but can be shown on a graph as shown (right): Beyond this point‚ more samples (= more work) does not increase the reliability of the results. Ideal sample size AQA are very keen that you should know the importance of random sampling. This is essential to avoid bias. In fieldwork‚ this is done by: 1. Lay out two tapes at
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CHAPTER 12 SAMPLING MECHANICS Sampling is an activity that involves the selection of individual people‚ data or things‚ from a target population/universe. A population‚ or universe‚ is the entire set people data or things that is the subject of exploration. A census involves obtaining information‚ not from a sample‚ but rather from the entire population or universe. A sample (as opposed sampling) is a subset of the population/universe. For Marketing Research purposes‚ sampling usually
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Population and Sampling MTH/231 Fahad M. Gohar Statistical data dates back to as early as Ancient Greek time‚ where it was introduced by John Graunt‚ William Petty and Pascal in the 16th century. It was then re-introduced by Gottfriend Achenwall in the 17th century. This was a very exciting time for scientists‚ astronomers and physicists alike as it raised the confidence and knowing that the laws of nature were not of divine intervention. As the years went on‚ new mathematical
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from a population is known as sample design. It describes various sampling techniques and sample size. It refers to the technique or procedure the researcher would adopt in selecting items for the sample. STEPS IN SAMPLE DESIGN Type of universe Sampling unit Source List Size of Sample Parameters of Interest Budgetary Constraint Sampling Procedure CRITERIA OF SELECTING A SAMPLING PROCEDURE Inappropriate sampling frame Defective measuring device Non-Respondents Indeterminancy
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Session 5 Topic: Sampling Theory/ Techniques and Discussions Project Brief ◦ Expectations and deliverables (Deadline October 1‚ 2010- EOD) Sampling basics ◦ Fundamental Issues ◦ Errors Sampling techniques ◦ Probabilistic ◦ Non-probabilistic Discussions © Krishanu Rakshit‚ IIM Calcutta 28 September‚ 2010 2 When do we use a ‘sample’ When do we use a census (population) Sampling errors ◦ Difference between a measure from sample and the measure
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Sampling Techniques Worksheet For each description of sampling‚ decide if the sampling technique is A. Simple Random B. Stratified C. Cluster D. Systematic E. Convenience 1. In order to estimate the percentage of defects in a recent manufacturing batch‚ a quality control manager at Intel selected every 8th chip that comes off the assembly line starting with the 3rd‚ until she obtains a sample of 140 chips. 2. In order to determine the average IQ of ninth-grade students‚ a school psychologist
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Sampling Procedures There are many sampling procedures that have been developed to make sure that a sample really represents the target population. Simple Random Sampling In simple random sampling‚ every individual in the target population has an equal chance of being part of the sample. This requires two steps: 1. Obtain a complete list of the population. 2. Randomly select individuals from that list for the sample. In a study where the unit of analysis is the student‚ the researcher
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Concept and basics of probability sampling methods One of the most important issues in researches is selecting an appropriate sample. Among sampling methods‚ probability sample are of much importance since most statistical tests fit on to this type of sampling method. Representativeness and generalize-ability will be achieved well with probable samples from a population‚ although the matter of low feasibility of a probable sampling method or high cost‚ don’t allow us to use it and shift us to the
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MAUREEN L. M. INTERMEDIATE MICROECONOMICS SAMPLING TECHNIQUES INTRODUCTION A sample is a unit or subset of selection from a larger population that is used in studying to draw conclusions regarding the whole population. A sample is usually selected from the population because it is not easy to study the entire population at once and the cost of doing so may be very high. The sample should be the best representation of the whole population to enable accurate outcomes and accurate
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