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  2. Z-test - Wikipedia

    en.wikipedia.org/wiki/Z-test

    The z-test for comparing two proportions is a statistical method used to evaluate whether the proportion of a certain characteristic differs significantly between two independent samples. This test leverages the property that the sample proportions (which is the average of observations coming from a Bernoulli distribution ) are asymptotically ...

  3. Paired difference test - Wikipedia

    en.wikipedia.org/wiki/Paired_difference_test

    The treatment group in the unpaired design would be viewed as analogous to the post-treatment measurements in the paired design, and the control group would be viewed as analogous to the pre-treatment measurements. We could then calculate the sample means within the treated and untreated groups of subjects, and compare these means to each other.

  4. 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.

  5. Altman Z-score - Wikipedia

    en.wikipedia.org/wiki/Altman_Z-score

    Altman's Z-score for International Credit Rating Agencies Defaulter Amount of Liabilities Date of Default Z-Score Rating at the time of default The Consequences (in $ billion) In year of default 1 year prior 2 years prior 3 years prior 4 years prior S&P Moody's Fitch Bear Stearns: 387 31-July-2007 0.29 −0.79 0.45 0.4 0.36 AA a A A1 a A2

  6. Standard normal table - Wikipedia

    en.wikipedia.org/wiki/Standard_normal_table

    Z tables use at least three different conventions: Cumulative from mean gives a probability that a statistic is between 0 (mean) and Z. Example: Prob(0 ≤ Z ≤ 0.69) = 0.2549. Cumulative gives a probability that a statistic is less than Z. This equates to the area of the distribution below Z. Example: Prob(Z ≤ 0.69) = 0.7549. Complementary ...

  7. Two-sample hypothesis testing - Wikipedia

    en.wikipedia.org/wiki/Two-sample_hypothesis_testing

    In statistical hypothesis testing, a two-sample test is a test performed on the data of two random samples, each independently obtained from a different given population. The purpose of the test is to determine whether the difference between these two populations is statistically significant .

  8. Gen Z reveals which age they consider someone to be old

    www.aol.com/gen-z-reveals-age-consider-213824411...

    Gen-Z has revealed which age they think indicates old age.. In a recent study commissioned by Wellsoon at Practice Plus Group, a total of 2,000 adults were asked questions by researchers about ...

  9. Unit-weighted regression - Wikipedia

    en.wikipedia.org/wiki/Unit-weighted_regression

    In such a case, each predictor can be converted into a standard score, or z-score, so that all the predictors have a mean of zero and a standard deviation of one. With this method of unit-weighted regression, the variate is a sum of the z-scores (e.g., Dawes, 1979; Bobko, Roth, & Buster, 2007).