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    Sampling Theory

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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 reading

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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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    Addiction

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    Addiction The Tabers medical dictionary defines drug addiction as a compulsive and maladaptive dependence on a drug that produces adverse psychological‚ physical‚ economic‚ social‚ or legal ramifications(5). In the U.S.‚ the abuse or misuse of prescription drugs has been identified by the Centers for Disease Control and Prevention (CDC) as a growing problem. In 2007‚ for example‚ the CDC reported that more than 27‚500 Americans died of drug overdose‚ an increase of more than 100% in the preceding

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    Population and Sampling

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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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    Sampling Techniques

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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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    Sampling Techniques

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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 Frame

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    Sampling Frame Advanced Cell technologies are constantly conducting hundreds of clinical trials in order to gain more knowledge on stem cell research. When dealing with the ethical barriers derived from stem cell research Advanced Cell Technologies spare no resources to maintain a healthy line so crossing of moral barriers occur. In order to conduct and proceed with research‚ a set of specific sampling frames must first be created. In statistics‚ a sampling frame is the source material or device

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    Addiction

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    Addiction Addiction   Abstract Addiction knows no prejudice; it does not care what race‚ religion‚ sex or orientation. You can be addicted to drugs‚ gambling‚ x-box‚ shopping and eating. Addiction is an illness that requires‚ for most‚ professional help and that once you are an addict you are always an addict.   Addiction is everywhere‚ from celebrity tabloids‚ to television‚ and possibly to a family member or close friend. There is alcoholism‚ drug abuse‚ and gambling

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    sampling plan

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    Sampling plan Our target population is the youth‚ from ages of 16 to 23. They represent the young adults and teenagers of the area’s population and are the most easily influenced individuals of the society. Our target population are college and high school students or recently graduated high school students. The data collection method used will be a self-administered questionnaire handed to the prospective respondents and collected right after the 10 minutes needed for the individual to complete

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    Population and Sampling

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    Population and Sampling MTH/231 August 29‚ 2012 Importance of Population and Sampling History from Political Arithmetic to Statistics The history timeline show evidence of statistical data as early as Ancient Greece time but records show statistics in late 16th century‚ when it was introduced by‚ John Graunt‚ William Petty‚ and Pascal and later in 17th century by Gottfried Achenwall. It was an exciting time when success and discoveries raised the confidence of scientists‚ physicist and astronomers

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