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Statistical Versus Clinical Significance in Psychiatry
In such a case, the difference of 1.4 kg obtained in the sample could be considered statistically not significant. Conversely, if the probability is less than 0.05, then it could be considered ...
non significant findings in research

[DOC File]STATISTICS - SUMMARY
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It assumes random sampling thus, you cannot do statistical hypothesis tests from a non probability sample or a census. The larger the sample, the easier it is to generalize to the population. For very large sample sizes, virtually ALL hypothesized relationships are statistically significant.
insignificant or non significant

[DOC File]Power and Sample Size Calculation - Purdue University
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In this case, statistical power is calculated to verify whether the non-significant result is due to really no relation in the sample or due to a lack of statistical power. Statistical power is positively correlated with the sample size, which means that given the level of the other factors, a …
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[DOCX File]Online Resources
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Levene’s test was non-significant, F (1, 118) = 0.01, p = .93, indicating that the assumption of homogenity of variance had been met. Levene’s test was non-significant, F ... We conclude that the test statistic is significant when in fact it is not.
significant and non significant number

[DOC File]Radford University | Virginia | Best in the Southeast
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If those means are different, then test smallest with next largest, until you reach a test that is not significant. Once you reach that point then you can only test differences between means that exceed the difference between the means that were found to be non-significant. For Example. For a test with 5 means. X5 > X1, p < .05. X4 = X1, p = ns.
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[DOC File]The multivariate analysis of variance (MANOVA) is a ...
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The F test from Box’s M statistics should be interpreted cautiously in that a significant result may be due to violation of the multivariate normality assumption for the Box’s M test, and a non-significant result may be due to a lack of power. It is advised to use p < .001 as the criterion for testing significance.
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[DOC File]00 PSY221 title and cover page - Fayetteville State University
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12. If you obtain a significant F-statistic then you know that: a. at least two means are significantly different from one another. b. all of the means are significantly different from one another. c. all of the means belong to the same population. d. then null hypothesis is probably correct. 13.
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[DOC File]Discriminant Analysis - University of Michigan
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The chi-square test of the Wilks' ( is not significant ((2 = 1.206, p = 0.272). The null hypothesis that in the population the BSS = 0, ( = 0, is accepted. Decision. Since the second function is not significant, its associated statistics will not be used in the interpretation of the affect of age and counsel on pre-disposition status.
non significant vs insignificant

[DOC File]Stationary Time Series
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White noise process, covariance stationary process, AR(p), MA(p) and ARIMA processes, stationarity conditions, diagnostic checks. White noise process
non significant findings in research

[DOC File]STATISTICS - SUMMARY
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Parameteric vs non parametric statistics. ... hypotheses cannot be rejected while with very large samples almost any hypothesized relationship will be "statistically significant" - even when not practically significant. Be cognizant of sample size (N) when making tests. ... The Chi square statistic is calculated by comparing the observed table ...
insignificant or non significant

Significant vs non significant statistic