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  2. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    Diagram showing the cumulative distribution function for the normal distribution with mean (μ) 0 and variance (σ 2) 1. These numerical values "68%, 95%, 99.7%" come from the cumulative distribution function of the normal distribution.

  3. Maury Povich Launching At-Home Paternity Test Dubbed 'The ...

    www.aol.com/maury-povich-launching-home...

    He's now taking the direct-to-consumer route and launching an at-home paternity test aptly dubbed "The Results Are In."Speaking to TMZ, the 84-year-old TV personality said partnering up with DNA ...

  4. Birthday problem - Wikipedia

    en.wikipedia.org/wiki/Birthday_problem

    Event 1 is the event of person 1 having a birthday, which occurs with probability 1. This conjunction of events may be computed using conditional probability : the probability of Event 2 is ⁠ 364 / 365 ⁠ , as person 2 may have any birthday other than the birthday of person 1.

  5. Multivariate normal distribution - Wikipedia

    en.wikipedia.org/wiki/Multivariate_normal...

    Under the null hypothesis of multivariate normality, the statistic A will have approximately a chi-squared distribution with ⁠ 1 / 6 ⁠ ⋅k(k + 1)(k + 2) degrees of freedom, and B will be approximately standard normal N(0,1).

  6. Confidence interval - Wikipedia

    en.wikipedia.org/wiki/Confidence_interval

    A 95% confidence level does not mean that 95% of the sample data lie within the confidence interval. A 95% confidence level does not mean that there is a 95% probability of the parameter estimate from a repeat of the experiment falling within the confidence interval computed from a given experiment. [25]

  7. F-distribution - Wikipedia

    en.wikipedia.org/wiki/F-distribution

    In probability theory and statistics, the F-distribution or F-ratio, also known as Snedecor's F distribution or the Fisher–Snedecor distribution (after Ronald Fisher and George W. Snedecor), is a continuous probability distribution that arises frequently as the null distribution of a test statistic, most notably in the analysis of variance (ANOVA) and other F-tests.

  8. DNA profiling - Wikipedia

    en.wikipedia.org/wiki/DNA_profiling

    When using RFLP, the theoretical risk of a coincidental match is 1 in 100 billion (100,000,000,000) although the practical risk is actually 1 in 1,000 because monozygotic twins are 0.2% of the human population. [53]

  9. 97.5th percentile point - Wikipedia

    en.wikipedia.org/wiki/97.5th_percentile_point

    "The value for which P = .05, or 1 in 20, is 1.96 or nearly 2; it is convenient to take this point as a limit in judging whether a deviation is to be considered significant or not." [11] In Table 1 of the same work, he gave the more precise value 1.959964. [12] In 1970, the value truncated to 20 decimal places was calculated to be