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CML 2 - Nicole De Langen
CML 2 - Nicole De Langen

... about the probability of the data based on its shape. Symmetrical Data: Symmetrical Data is the easiest type of data use. This is because many statistical techniques have been developed for the same. In fact symmetrical data is so common that it is called the normal curve. It also has other names li ...
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... Use a software package to generate samples of size n = 11 from a population with a known  = .5 Calculate the mean and median for each sample Generate histograms for the means and medians of the samples Note the greater clustering of the values of x around  These histograms are approximations of th ...
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... within one week of assignment due date for ½ credit. After the 5h day, the homework will be marked as a zero. Work missed due to an excused student absence will be made up according to the district attendance policy (i.e. within 3 days of returning to school). EXTRA HELP: Extra help is available bef ...
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Slides for Lecture 17 - Informatics Blog Service

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JOINT AND CONDITIONAL DISTRIBUTIONS

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Chap008 - jimakers.com

< 1 ... 519 520 521 522 523 524 525 526 527 ... 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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