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In statistics, a confidence interval (CI) is a tool for estimating a parameter, such as the mean of a population. [1] To make a CI, an analyst first selects a confidence level , such as 95%. The analyst then follows a procedure that outputs an interval.
Every 1.38 million years (twice in history of humankind) μ ± 6.5σ: 0.999 999 999 919 680: 8.032 × 10 −11 = 0.080 32 ppb = 80.32 ppt: 1 in 12 450 197 393: Every 34 million years (twice since the extinction of dinosaurs) μ ± 7σ: 0.999 999 999 997 440: 2.560 × 10 −12 = 2.560 ppt: 1 in 390 682 215 445: Every 1.07 billion years (four ...
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Ci – cosine integral function. cis – cos + i sin function. (Also written as expi.) Cl – conjugacy class. cl – topological closure. CLT – central limit theorem. cod, codom – codomain. cok, coker – cokernel. colsp – column space of a matrix. conv – convex hull of a set. Cor – corollary. corr – correlation. cos – cosine ...
In probability and statistics, the 97.5th percentile point of the standard normal distribution is a number commonly used for statistical calculations. The approximate value of this number is 1.96, meaning that 95% of the area under a normal curve lies within approximately 1.96 standard deviations of the mean.
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In statistical estimation theory, the coverage probability, or coverage for short, is the probability that a confidence interval or confidence region will include the true value (parameter) of interest. It can be defined as the proportion of instances where the interval surrounds the true value as assessed by long-run frequency. [1]
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