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The Texas Instruments Business Analyst series is a product line of financial calculators introduced in 1976. BA calculators provide time value of money functions and are widely used in accounting and other financial applications. Though originally designed specifically for financial use, current models also include basic scientific calculator ...
The standard deviation of a random variable, sample, statistical population, data set, or probability distribution is the square root of its variance. It is algebraically simpler, though in practice less robust, than the average absolute deviation.
Chebyshev's inequality. In probability theory, Chebyshev's inequality (also called the Bienaymé–Chebyshev inequality) provides an upper bound on the probability of deviation of a random variable (with finite variance) from its mean. More specifically, the probability that a random variable deviates from its mean by more than is at most ...
Introduction. If one makes the parametric assumption that the underlying distribution is a normal distribution, and has a sample set {X 1, ..., X n}, then confidence intervals and credible intervals may be used to estimate the population mean μ and population standard deviation σ of the underlying population, while prediction intervals may be used to estimate the value of the next sample ...
The TI-84 Plus is a graphing calculator made by Texas Instruments which was released in early 2004. There is no original TI-84, only the TI-84 Plus, the TI-84 Plus Silver Edition models, the TI-84 Plus C Silver Edition, the TI-84 Plus CE, and TI-84 Plus CE Python. The TI-84 Plus is an enhanced version of the TI-83 Plus.
A tolerance interval ( TI) is a statistical interval within which, with some confidence level, a specified sampled proportion of a population falls. "More specifically, a 100×p%/100× (1−α) tolerance interval provides limits within which at least a certain proportion ( p) of the population falls with a given level of confidence (1−α ...
Where is the inverse standardized Student t CDF, and is the standardized Student t PDF. [2] In probability and statistics, Student's t distribution (or simply the t distribution) is a continuous probability distribution that generalizes the standard normal distribution. Like the latter, it is symmetric around zero and bell-shaped.
Central limit theorem. In probability theory, the central limit theorem ( CLT) states that, under appropriate conditions, the distribution of a normalized version of the sample mean converges to a standard normal distribution. This holds even if the original variables themselves are not normally distributed.
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