U N I T 2 BASIC SURVEY MATH Edward Zimmerman‚ PLS California Department of Transportation Introduction The purpose of this video unit is to present basic math concepts and principles useful to survey computations. It has been assumed that most viewers are already familiar with some or most of the topics presented in the beginning of the unit. It is important to have a developed understanding of the basic operations of arithmetic‚ algebra‚ geometry‚ and trigonometry. This unit
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In 1975‚ a cap was placed on non-economic damages awards in medical negligence lawsuits in California. The law imposing the cap was called Medical Injury Compensation Reform Act or MICRA for short. People who are injured during medical malpractice can receive no more than $250‚000 when they are injured by a negligent doctor. A child was taken by her mother to a clinic because she was coughing and wheezing. The clinic failed to identify the cause of her symptoms and the child died of Whopping Cough
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survey practices. • What was the population? That is‚ whose opinions were being sought? • How was the sample selected? Look for mention of random sampling. • How large was the sample? Even better‚ find out both the sample size and the margin of error within which the results of 95% of all samples drawn as this one was would fall. • What was the response rate? That is‚ what percent of the original subjects actually provided information? • How were the subjects contacted? By telephone? Mail? Face-to-face
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validity? Polling relies on the principles of inferential statistics‚ which states that we can draw inferences about a set by examining a randomly assembled subset. Random selection is key. 3. How does sample size and margin of error correlate? Margin of error tells us how close to the full population we can expect the sample to take us. They correlate because a sample tells us how many is selected at random from a size of random samples. 4. What factors contribute to an individual’s
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There are several errors that can happen during the coding and billing process. Claims are often rejected or downcoded because of medical necessity errors‚ coding errors‚ and errors related to billing. Claims denied for medical necessity are often denied for this because the reported services are not consistent with the diagnosis or do not meet generally accepted professional medical standards of care. Claims with coding errors could be that you used truncated coding. This means you billed
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make it a fair test‚ the same person will use the stopwatch to account for reaction times and debates between when the water has begun to turn cloudy. This means that the results will be consistent for each group‚ and there is less room for human error. We will use a stopwatch with a resolution of up to 0.001 seconds to ensure that the results are as precise as possible. We will also repeat our investigation three times using the same method and equipment to ensure that it is repeatable and we
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3/4/14 Determining The Formula of a Complex Ion Luqman Khan Contents: Aim………………………………………………………………………………………………………………….……2 Results……………………………………………………………………………………….………………………2-6 - Raw Data………………………….………….……………………………………………………..…..2 - Qualitative Analysis………………………………………………………………………………….2 - Data Processing……………………………..……………………………………………………..3-5 - Graphical Results……………………………..…………………………………………….…….5-6 Conclusion…………………………………………………………………………………………………………6-7 Evaluation……………………………………………………………………………………………………………
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CHAPTER 5 Choosing the type of probability sampling What you will learn in this chapter: •• •• •• •• •• •• The types of probability sampling and how they differ from each other Steps in carrying out the major probability sample designs The strengths and weaknesses of the various types of probability sampling Differences between stratified sampling and quota sampling Differences between stratified sampling and cluster sampling Differences between multistage cluster sampling and multiphase sampling
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safety by eliminating transcription errors and providing real-time information at the patient’s bedside (Bloomberg Business Week‚ 2014). The systems workflow and scheduling screen‚ provides nurses with view of patient data‚ and medication cabinets to ensure that only the prescribed medication is transferred to the patient’s specific drawer (Bloomberg Business Week‚ 2014). Foundation software suite to automate the management of metrics‚ including medication error rate reduction‚ control substance management
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doing so‚ we can correct systematic errors caused by the burette’s or glassware’s tolerance values. Theory1: Volumetric glassware is used to accurately measure volumes. In any given experiment‚ students may come across systematic errors or random errors. Random errors are not able to be corrected by a standard mean because they are not consistent. However‚ systematic errors are consistent and is able to be detected which allows students to correct the error that was found. So‚ using uncalibrated
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