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Converting Point Estimates for Cost-Risk Analysis
Converting Point Estimates for Cost-Risk Analysis

... summing the cost of each of the steps, or "rolling up" the costs to estimate the total cost of the product. An amount of profit is then determined based upon the total cost to result in a quote to the perspective customer. It is generally accepted that the actual costs are typically higher than cost ...
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...  The average squared distance of sample means from the population mean is the variance divided by n, the size of the sample.  To find the average unsquared distance of sample means from mu divide the variance by n, then take the square root of the resulting number. This final result is called the ...
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... BIRTH_RT: This variable reflects the birth rate number per thousand people in the population. Here are the descriptive statistics for this variable. The mean and median are approximately the same, which tells us that either value could be used as a measure of centre for the variable. The box and whi ...
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... buy stocks, or to sell them short. Neither Kolmogorov nor the casino analogy can help here, for the performance of the stock market over the subsequent days, months, and years is nothing like a series of roullette games. Rather, it involves a unique sequence of one-off events, never to be repeated. ...
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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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