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Statistics and Probability
Statistics and Probability

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1st exam review sheet

... If the data are reasonably symmetric and no outliers are present, _________ and ________ can be used. If the data are skewed and /or outliers are present, use the _________ and ___________ which you then combine into the 5- number summary. ...
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... If the calculate Z statistic is large than the critical value (C.L.) then we reject the null hypothesis, we can also use p-values. That is the exactly probability of drawing a this sample from a population as is hypothesized under the null distribution. If the p-value is large (generally larger than ...
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Introduction to Inference (Hypothesis Testing)

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Probability and Statistics

... differentiate among many random variable involved in the probability models. It is quite useful for all branches of engineering. The student would be able to calculate mean and proportions (small and large sample) and to make important decisions from few samples which are taken out of unmanagably hu ...
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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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