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  2. Location test - Wikipedia

    en.wikipedia.org/wiki/Location_test

    The two-sample location test compares the location parameters of two samples to each other. A common situation is where the two populations correspond to research subjects who have been treated with two different treatments (one of them possibly being a control or placebo).

  3. Strong Interest Inventory - Wikipedia

    en.wikipedia.org/wiki/Strong_Interest_Inventory

    Before he created the inventory, Strong was the head of the Bureau of Educational Research at the Carnegie Institute of Technology. Strong attended a seminar at the Carnegie Institute of Technology where a man by the name of Clarence S. Yoakum introduced the use of questionnaires in differentiating between people of various occupations.

  4. Paired difference test - Wikipedia

    en.wikipedia.org/wiki/Paired_difference_test

    Another application of paired difference testing arises when comparing two groups in a set of observational data, with the goal being to isolate the effect of one factor of interest from the effects of other factors that may play a role. For example, suppose teachers adopt one of two different approaches, denoted "A" and "B", to teaching a ...

  5. Wilcoxon signed-rank test - Wikipedia

    en.wikipedia.org/wiki/Wilcoxon_signed-rank_test

    The Wilcoxon signed-rank test is a non-parametric rank test for statistical hypothesis testing used either to test the location of a population based on a sample of data, or to compare the locations of two populations using two matched samples. [1] The one-sample version serves a purpose similar to that of the one-sample Student's t-test. [2]

  6. California Psychological Inventory - Wikipedia

    en.wikipedia.org/wiki/California_Psychological...

    The community validation sample consisted of 520 adult residents of the Eugene-Springfield, Oregon area. The members of this sample were more heterogeneous from the other samples, in terms of gender, education, ethnicity, and age. They too completed CPI under the same circumstances as the other two sample groups. [9] [10]

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  8. Z-test - Wikipedia

    en.wikipedia.org/wiki/Z-test

    However, if the sample size is not large enough for these estimates to be reasonably accurate, the Z-test may not perform well. The test statistic should follow a normal distribution. Generally, one appeals to the central limit theorem to justify assuming that a test statistic varies normally. There is a great deal of statistical research on ...

  9. “What’s The Creepiest Display Of Intelligence You’ve Seen By ...

    www.aol.com/23-creepiest-displays-intelligence...

    Image credits: Aleacam #3. At my call hospital, we have this nurse that we call Dr. Bob. Anything that any nurse in the Medical ICU doesn’t know , we just ask Dr Bob.