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Stochastic Structural Dynamics
Stochastic Structural Dynamics

... Toss a die 1000 times; note down how many times an even number turns up (say, 548). P(even number)=548/1000. N=1000 here is deemed to be sufficiently large. There is no guarantee that as the number of trials increases, the probability would converge. The die need not be “fair”. ...
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... measure using all the data values is more desirable. The variance is such a value. We often use the related measure, its square-root, called the standard deviation. Broadly speaking, the standard deviation is the average of the distances of each value in a data set from the mean of the data. Hence, ...
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... Expected Value E(X) = P(win)*$2,000,000 + P(lose)*-$1.00 = 2.0 x 106 * 7.2 x 10-8+ .999999928 (-1) = .144 - .999999928 = -$.86 Negative expected value is never good! You shouldn’t play if you expect to lose money! ...
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... i=1 P(Ei ) = i=1 2i = 1. If we define that for any given event A, P(A) is equal to the sum of the probabilities of the simple events in A. Then, P is a probability on Ω. P(A) = 1 − P(Ac) = 1 − P(E1) = 1 − 12 = 12 . Probability of an event A is a number to indicate how big the occurring possibility o ...
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Probability and the Binomial Distribution

< 1 ... 682 683 684 685 686 687 688 689 690 ... 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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