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  2. Z-test - Wikipedia

    en.wikipedia.org/wiki/Z-test

    Difference between Z-test and t-test: Z-test is used when sample size is large (n>50), or the population variance is known. t-test is used when sample size is small (n<50) and population variance is unknown. There is no universal constant at which the sample size is generally considered large enough to justify use of the plug-in test.

  3. Help:Using Wikipedia for mathematics self-study - Wikipedia

    en.wikipedia.org/wiki/Help:Using_Wikipedia_for...

    Some readers will be simultaneously studying mathematics in a more formal way, while others will rely on Wikipedia alone. There are certain points that need to be kept in mind by anyone using Wikipedia for mathematical self-study, in order to make the best use of what is here, perhaps in conjunction with other resources.

  4. 6-year-old provides the most genius answer to his math problem

    www.aol.com/news/2015-11-04-6-year-old-provides...

    Sometimes the way kids respond to math tests are incredibly funny and even smarter than the answers their teachers expect. While everyone hates taking tests, some students are creative enough to ...

  5. Multiple comparisons problem - Wikipedia

    en.wikipedia.org/wiki/Multiple_comparisons_problem

    A normal quantile plot for a simulated set of test statistics that have been standardized to be Z-scores under the null hypothesis. The departure of the upper tail of the distribution from the expected trend along the diagonal is due to the presence of substantially more large test statistic values than would be expected if all null hypotheses were true.

  6. Being 'bad at math' is a pervasive concept. Can it be ... - AOL

    www.aol.com/finance/being-bad-math-pervasive...

    The 74 shares insights from math education experts about the societal tendency to classify kids as "bad" or "good" at the subject instead of normalizing accommodations and tutoring.

  7. Z-factor - Wikipedia

    en.wikipedia.org/wiki/Z-factor

    The Z-factor defines a characteristic parameter of the capability of hit identification for each given assay. The following categorization of HTS assay quality by the value of the Z-Factor is a modification of Table 1 shown in Zhang et al. (1999); [2] note that the Z-factor cannot exceed one.