We live in a very uncertain world. Variation surrounds our work. There is noise in our experiments, in our measurements, and in our test subjects. From all these sources of uncertainty and variation, we try to extract a coherent picture of very complex and sometimes dynamic, biological and chemical processes. In fact, one of our major challenges is to separate this signal, the 'real' biology or chemistry, from the noise. The tools developed to do this are called, collectively, biostatistics. Any tool, even a hammer, can be misused. This could result, at best, in inefficiency, and, at worst, in disaster. With the advent of newer, us- friendly statistical software packages, desk top computing, and point-a- click technologies, it is easier than ever to make mistakes in your analyses. The beauty of having access to so much computing power is that you can now enjoy ultimate flexibility in data processing: that can also be a problem. Ask your computer to produce a particular analysis, report or graphic, and that is exactly what you will get: if you happen to have asked for the wrong thing it will be produced just as quickly, and you will probably never know it was wrong. One aim of this handbook is to help you choose the correct tool for the job at hand, understand its strengths and weaknesses, and to help you recognize when you should seek expert advice. We describe biostatistics as a collection of tools for very good reasons.
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Introduction. 1: Description. Populations, Distributions, and Samples. Measures of Central Tendency. Data Dispersion, Noise, and Error. Graphics. 2: Inference. Comparing a Sample Mean to a Population with Known Mean and Variance - The One Sample z-Test. Comparing a Sample Mean to a Population with Known Mean and Unknown Variance - The One Sample t-Test. Comparing Before and After Data - The Two Sample Paired t-Test. Comparing Two Means - The Two Sample Unpaired t-Test. Comparing Three or More Means - The One Way Analysis of Variance. Comparing Two or More Proportions: Proportions Tests and Chi-Square (chi2). Distribution-Free Measures: Non-Parametric Tests. 3: Estimation. Data Relationships: Association and Correlation. Data Relationships: Mathematical Models and Linear Regression. Complex Data Relationships: Mathematical Models and Non-Linear Regression. 4: Design of a Statistical Experiment. Index.
Book by Michelson S Schofield T
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Softcover. Condizione: Fine. Good statistical design of experimental and analytical methods is a fundamental component of successful research. The set of tools that has evolved to implement these processes of design and analysis is called Biostatistics. Using these tools blindly or by rote is a recipe for failure. The Biostatistics Cookbook is intended for research scientists who want to understand why they do a particular test or analysis as well as how to do it. It is meant as an interpreter as well as a guide, helping the researcher to illuminate and communicate his or her results as accurately, concisely, and universally as possible. Codice articolo 4a8962e3-48d7-4ab7-9eb9-7f477b5d112f
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. We live in a very uncertain world. Variation surrounds our work. There is noise in our experiments, in our measurements, and in our test subjects. From all these sources of uncertainty and variation, we try to extract a coherent picture of very complex and . Codice articolo 5967811
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We live in a very uncertain world. Variation surrounds our work. There is noise in our experiments, in our measurements, and in our test subjects. From all these sources of uncertainty and variation, we try to extract a coherent picture of very complex and sometimes dynamic, biological and chemical processes. In fact, one of our major challenges is to separate this signal, the 'real' biology or chemistry, from the noise. The tools developed to do this are called, collectively, biostatistics. Any tool, even a hammer, can be misused. This could result, at best, in inefficiency, and, at worst, in disaster. With the advent of newer, us- friendly statistical software packages, desk top computing, and point-a- click technologies, it is easier than ever to make mistakes in your analyses. The beauty of having access to so much computing power is that you can now enjoy ultimate flexibility in data processing: that can also be a problem. Ask your computer to produce a particular analysis, report or graphic, and that is exactly what you will get: if you happen to have asked for the wrong thing it will be produced just as quickly, and you will probably never know it was wrong. One aim of this handbook is to help you choose the correct tool for the job at hand, understand its strengths and weaknesses, and to help you recognize when you should seek expert advice. We describe biostatistics as a collection of tools for very good reasons. 176 pp. Englisch. Codice articolo 9780792341055
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Taschenbuch. Condizione: Neu. Neuware -We live in a very uncertain world. Variation surrounds our work. There is noise in our experiments, in our measurements, and in our test subjects. From all these sources of uncertainty and variation, we try to extract a coherent picture of very complex and sometimes dynamic, biological and chemical processes. In fact, one of our major challenges is to separate this signal, the 'real' biology or chemistry, from the noise. The tools developed to do this are called, collectively, biostatistics. Any tool, even a hammer, can be misused. This could result, at best, in inefficiency, and, at worst, in disaster. With the advent of newer, us- friendly statistical software packages, desk top computing, and point-a- click technologies, it is easier than ever to make mistakes in your analyses. The beauty of having access to so much computing power is that you can now enjoy ultimate flexibility in data processing: that can also be a problem. Ask your computer to produce a particular analysis, report or graphic, and that is exactly what you will get: if you happen to have asked for the wrong thing it will be produced just as quickly, and you will probably never know it was wrong. One aim of this handbook is to help you choose the correct tool for the job at hand, understand its strengths and weaknesses, and to help you recognize when you should seek expert advice. We describe biostatistics as a collection of tools for very good reasons.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch. Codice articolo 9780792341055
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - We live in a very uncertain world. Variation surrounds our work. There is noise in our experiments, in our measurements, and in our test subjects. From all these sources of uncertainty and variation, we try to extract a coherent picture of very complex and sometimes dynamic, biological and chemical processes. In fact, one of our major challenges is to separate this signal, the 'real' biology or chemistry, from the noise. The tools developed to do this are called, collectively, biostatistics. Any tool, even a hammer, can be misused. This could result, at best, in inefficiency, and, at worst, in disaster. With the advent of newer, us- friendly statistical software packages, desk top computing, and point-a- click technologies, it is easier than ever to make mistakes in your analyses. The beauty of having access to so much computing power is that you can now enjoy ultimate flexibility in data processing: that can also be a problem. Ask your computer to produce a particular analysis, report or graphic, and that is exactly what you will get: if you happen to have asked for the wrong thing it will be produced just as quickly, and you will probably never know it was wrong. One aim of this handbook is to help you choose the correct tool for the job at hand, understand its strengths and weaknesses, and to help you recognize when you should seek expert advice. We describe biostatistics as a collection of tools for very good reasons. Codice articolo 9780792341055
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