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  1. Statistical hypothesis testing - Wikipedia


    Variations and sub-classes. Statistical hypothesis testing is a key technique of both frequentist inference and Bayesian inference, although the two types of inference have notable differences.Statistical hypothesis tests define a procedure that controls (fixes) the probability of incorrectly deciding that a default position (null hypothesis) is incorrect.

  2. Hypothesis Testing - Six-Sigma-Material.com


    Hypothesis Testing. Selecting the appropriate comparison test can be challenging especially in the learning stages. A Six Sigma project manager should understand the formulas and computations within the commonly applied tests.

  3. Multiple comparisons problem - Wikipedia


    In statistics, the multiple comparisons, multiplicity or multiple testing problem occurs when one considers a set of statistical inferences simultaneously or infers a subset of parameters selected based on the observed values. In certain fields it is known as the look-elsewhere effect.. The more inferences are made, the more likely erroneous inferences are to occur.

  4. Hypothesis Testing, Statistical Significance, and ...


    Hypothesis Testing, Statistical Significance, and Independent t Tests Hypothesis Testing and Statistical Significance When a hypothesis is tested by collecting data and comparing statistics from a sample with a predetermined value from a theoretical distribution, like the normal distribution, a researcher makes a decision about whether the null hypothesis should be retained or whether the …

  5. One Sample Hypothesis Testing of the Variance | Real ...


    Based on Theorem 2 of Chi-square Distribution and its corollaries, we can use the chi-square distribution to test the variance of a distribution.. Example 1: A company produces metal pipes of a standard length.Twenty years ago it tested its production quality and found that the lengths of the pipes produced were normally distributed with a standard deviation of 1.1 cm.

  6. Testing of Statistical Hypothesis - Blogger


    The null hypothesis in probability and statistics is the starting assumption that nothing other than random chance is operating to create the observed effect that you see in a particular set of data.

  7. Chapter 9: Hypothesis Testing - Georgia State University

    www2.gsu.edu/~dscaas/testbank/TB Ch 10.doc · Файл DOC · Переглянути в Інтернеті

    HYPOTHESIS TESTING. ... In the following multiple-choice questions, please circle the correct answer. If a researcher takes a large enough sample, he/she will almost always obtain: ... Before addressing this question with a statistical hypothesis test, a comparison should be done to determine whether the variances of annual starting salaries of ...

  8. Hypothesis Testing for Means & Proportions


    This is the first of three modules that will addresses the second area of statistical inference, which is hypothesis testing, in which a specific statement or hypothesis is generated about a population parameter, and sample statistics are used to assess the likelihood that the hypothesis is true.

  9. Lecture 10: Multiple Testing - UW Genome Sciences

    www.gs.washington.edu/academics/courses/akey/56008/lecture/lecture... · Файл PDF

    Why Multiple Testing Matters Genomics = Lots of Data = Lots of Hypothesis Tests A typical microarray experiment might result in performing 10000 separate hypothesis tests.

  10. Hypothesis Testing: Upper-, Lower, and Two Tailed Tests


    The procedure for hypothesis testing is based on the ideas described above. Specifically, we set up competing hypotheses, select a random sample from the population of …