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Introduction to Biostatistics
Introduction to Biostatistics

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Lecture 1: Intorduction to PMS II (elements)

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... Calculations: Compute the percent in a sample and the associated margin of error [use m = z/2n_]. Use these two numbers to construct a confidence interval for the true percentage for the entire population. (pp. 23 & 24, 28) Compute the sample size needed to achieve a certain margin of error and the ...
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written test for the course, probability theory and

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... Recall the premise of the Central Limit Theorem: The mean of a random sample will approximately follow a normal distribution with mean ! and standard error ! , regardless of n the distribution of the population. The theory requires a sample size of at least 30 if the population distribution is unkno ...
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The Practice of Statistics

< 1 ... 803 804 805 806 807 808 809 810 811 ... 861 >

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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