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Data Analysis
Siegmund Brandt
其他書名
Statistical and Computational Methods for Scientists and Engineers
出版Springer Science & Business Media, 2012-12-06
主題Science / Physics / Mathematical & ComputationalScience / GeneralMathematics / Probability & Statistics / GeneralBusiness & Economics / StatisticsScience / Physics / GeneralSocial Science / General
ISBN14612144679781461214465
URLhttp://books.google.com.hk/books?id=F1YFCAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋1. 1 Typical Problems of Data Analysis Every branch of experimental science, after passing through an early stage of qualitative description, concerns itself with quantitative studies of the phe nomena of interest, i. e. , measurements. In addition to designing and carrying out the experiment, an importal1t task is the accurate evaluation and complete exploitation of the data obtained. Let us list a few typical problems. 1. A study is made of the weight of laboratory animals under the influence of various drugs. After the application of drug A to 25 animals, an average increase of 5 % is observed. Drug B, used on 10 animals, yields a 3 % increase. Is drug A more effective? The averages 5 % and 3 % give practically no answer to this question, since the lower value may have been caused by a single animal that lost weight for some unrelated reason. One must therefore study the distribution of individual weights and their spread around the average value. Moreover, one has to decide whether the number of test animals used will enable one to differentiate with a certain accuracy between the effects of the two drugs. 2. In experiments on crystal growth it is essential to maintain exactly the ratios of the different components. From a total of 500 crystals, a sample of 20 is selected and analyzed.