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  2. Ezh - Wikipedia

    en.wikipedia.org/wiki/Ezh

    Ezh (Ʒ ʒ) / ˈ ɛ ʒ / ⓘ EZH, also called the "tailed z", is a letter, notable for its use in the International Phonetic Alphabet (IPA) to represent the voiced postalveolar fricative consonant. For example, the pronunciation of "si" in vision / ˈ v ɪ ʒ ən / and precision / p r ɪ ˈ s ɪ ʒ ən / , or the s in treasure / ˈ t r ɛ ʒ ...

  3. Standard normal table - Wikipedia

    en.wikipedia.org/wiki/Standard_normal_table

    Z tables are typically composed as follows: The label for rows contains the integer part and the first decimal place of Z. The label for columns contains the second decimal place of Z. The values within the table are the probabilities corresponding to the table type.

  4. Z table - Wikipedia

    en.wikipedia.org/?title=Z_table&redirect=no

    This page was last edited on 21 February 2007, at 16:55 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

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  6. Z-test - Wikipedia

    en.wikipedia.org/wiki/Z-test

    Z-test tests the mean of a distribution. For each significance level in the confidence interval, the Z-test has a single critical value (for example, 1.96 for 5% two tailed) which makes it more convenient than the Student's t-test whose critical values are defined by the sample size (through the corresponding degrees of freedom). Both the Z ...

  7. Z - Wikipedia

    en.wikipedia.org/wiki/Z

    Z, or z, is the twenty-sixth and last letter of the Latin alphabet. It is used in the modern English alphabet , in the alphabets of other Western European languages, and in others worldwide. Its usual names in English are zed ( / ˈ z ɛ d / ), which is most commonly used in British English and zee ( / ˈ z iː / ), most commonly used in North ...

  8. One- and two-tailed tests - Wikipedia

    en.wikipedia.org/wiki/One-_and_two-tailed_tests

    A two-tailed test applied to the normal distribution. A one-tailed test, showing the p-value as the size of one tail. In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter inferred from a data set, in terms of a test statistic. A two-tailed test ...

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