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Coping with Your Biostatistician
Coping with Your Biostatistician

... • Small studies are problematic in two ways: – It’s difficult to get statistically significant results from a small study, and without significance, you can’t demonstrate that observed effects are “real” – If you don’t achieve significance, you also can’t necessarily say that there are no real effec ...
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Assignment 2 statistics

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Test Code : QR ( Short answer type ) 2005

... 9. Life distributions of two independent components of a machine are known to be exponential with means  and  respectively. The machine fails if at least one of the components fails. Compute the chance that the machine will fail due to the second component. Out of n independent prototypes of the m ...
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... expect from a test? The actual value of the power is usually difficult (and sometimes impossible) to obtain, since it requires us to know the H1 distribution. However, we can make the following general comments: 1. The power of a statistical test increases as the level of  significance a increases. ...
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Appendix S2: Quantitative Comparison with Chemical

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Section 4.1 course notes

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STAT 509 – Section 4.1 – Estimation Parameter: A numerical

... Another nice property of an estimator: we want it to be as precise as possible. The standard deviation of a statistic’s sampling distribution is called the standard error of the statistic. The standard error of the sample mean Y is  / n . Note: As the sample size gets larger, the spread of the sam ...
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P - Binus Repository

http://www.ruf.rice.edu/~lane/stat_sim/sampling_dist/index.html
http://www.ruf.rice.edu/~lane/stat_sim/sampling_dist/index.html

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History of statistics

The History of statistics can be said to start around 1749 although, over time, there have been changes to the interpretation of the word statistics. In early times, the meaning was restricted to information about states. This was later extended to include all collections of information of all types, and later still it was extended to include the analysis and interpretation of such data. In modern terms, ""statistics"" means both sets of collected information, as in national accounts and temperature records, and analytical work which requires statistical inference.Statistical activities are often associated with models expressed using probabilities, and require probability theory for them to be put on a firm theoretical basis: see History of probability.A number of statistical concepts have had an important impact on a wide range of sciences. These include the design of experiments and approaches to statistical inference such as Bayesian inference, each of which can be considered to have their own sequence in the development of the ideas underlying modern statistics.
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