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  2. Standard normal table - Wikipedia

    en.wikipedia.org/wiki/Standard_normal_table

    Example: To find 0.69, one would look down the rows to find 0.6 and then across the columns to 0.09 which would yield a probability of 0.25490 for a cumulative from mean table or 0.75490 from a cumulative table. To find a negative value such as -0.83, one could use a cumulative table for negative z-values [3] which yield a probability of 0.20327.

  3. Standard score - Wikipedia

    en.wikipedia.org/wiki/Standard_score

    Comparison of the various grading methods in a normal distribution, including: standard deviations, cumulative percentages, percentile equivalents, z-scores, T-scores. In statistics, the standard score is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being observed or measured.

  4. Talk:Standard normal table - Wikipedia

    en.wikipedia.org/wiki/Talk:Standard_normal_table

    Why is this page referencing a specific type of table? The textbook I have in my class (not saying that it is the only answer) uses a different table, with prob's from 0.0000 to 0.4990. The Z values are the same, from 0.00 to 3.00. Shouldn't we reference all types, and provide methods and rationales for each? Andrew 19:07, 1 November 2007 (UTC)

  5. Fisher's z-distribution - Wikipedia

    en.wikipedia.org/wiki/Fisher's_z-distribution

    Fisher's z-distribution is the statistical distribution of half the logarithm of an F-distribution variate: = ⁡ It was first described by Ronald Fisher in a paper delivered at the International Mathematical Congress of 1924 in Toronto. [1] Nowadays one usually uses the F-distribution instead.

  6. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    The negative hypergeometric distribution, a distribution which describes the number of attempts needed to get the nth success in a series of Yes/No experiments without replacement. The Poisson binomial distribution, which describes the number of successes in a series of independent Yes/No experiments with different success probabilities.

  7. Z-test - Wikipedia

    en.wikipedia.org/wiki/Z-test

    Because of the central limit theorem, many test statistics are approximately normally distributed for large samples.Therefore, many statistical tests can be conveniently performed as approximate Z-tests if the sample size is large or the population variance is known.

  8. Prisoners of Profit - The Huffington Post

    projects.huffingtonpost.com/prisoners-of-profit?...

    In 2001, an 18-year-old committed to a Texas boot camp operated by one of Slattery’s previous companies, Correctional Services Corp., came down with pneumonia and pleaded to see a doctor as he struggled to breathe.

  9. Negative probability - Wikipedia

    en.wikipedia.org/wiki/Negative_probability

    In Convolution quotients of nonnegative definite functions [5] and Algebraic Probability Theory [6] Imre Z. Ruzsa and Gábor J. Székely proved that if a random variable X has a signed or quasi distribution where some of the probabilities are negative then one can always find two random variables, Y and Z, with ordinary (not signed / not quasi ...