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Statistical significance - Wikipedia, the free encyclopedia
In statistics, a result is called statistically significant if it is unlikely to have occurred by chance. The phrase test of significance was coined by Ronald Fisher. The use of the word signific...
en.wikipedia.org/wiki/Statistical_significance |
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Statistics - Wikipedia, the free encyclopedia
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Significance tests are performed to see if the null hypothesis can be rejected. If the null hypothesis is rejected, then the effect found in a sample is said to be statistically significant. If the null ... Math Textbooks; Statistics Textbooks; Statistics and Methods Consulting For Graduate Students (877-437-8622)
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Here, we show that permutation-based estimates of the overall significance level also can be misleading when the test statistics are correlated. We propose that such estimates be conditioned on a simple measure of the spread of the observed histogram, and we provide a method for obtaining conditional significance levels.
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If a finding is statistically significant, why is it also necessary to consider practical significance? ... 25. Two hundred managers from various levels were randomly selected and interviewed regarding their concern about environmental issues. The response of each ... Subjects -> Statistics -> All Topics -> Posting #60634...
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What kind of equation would I use? Could I use excel and the PHStat2 program to set it up and solve? Thanks! A coin tossed 10,000 times. Heads appears 5100 times. Do you think the coin is fair at a 5% level of significance? ... Levels of significance.doc ... Subjects -> Statistics -> All Topics -> Posting #45055...
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8. You are working with an experiment that has a single factor of interest with five groups or levels, and seven observations in each ... Hypothesis Testing, Significance Levels, ANOVA, Tukey-Kramer, Wilcoxon Rank Sums Test and Kruskal-Wallis Rank Test are investigated. The solution is detailed and well presented.
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