What is statistically significant sample

    • [PDF File]Designing a Statistically Sound Sampling Plan

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      represented in the sample and we can construct the sample to either minimize variability of the estimator or to minimize cost zComposite sampling can save costs making sampling more efficient but you lose information about the individual sampling units. zSystematic sampling …

    • When Is Statistical Significance Meaningful? A Practice ...

      ference could be statistically significant, given a large enough sample). The point is, there was a difference, as demonstrated by statistical analysis. Whether this was a finding worthy of behavioral change was a matter of individual perception and opinion. The phenomenon of …

    • [PDF File]Chapter 7: Statistical Significance, Effect Size, and ...

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      A: Sample mean for men ≠ sample mean for women. ii. When we conclude that a result is statistically significant, we reject the null hypothesis. iii. When we reject the null hypothesis, we are concluding that the results from our sample were not due to random sampling error, and represent a meaningful effect in the population(s). 1.

    • [PDF File]Differentiating statistical significance and clinical ...

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      statistically significant difference is clinically significant. across multiple patient populations, the statistically significant result may be only minimally useful and thus isn’t clinically significant. If a statistically significant result isn’t clinically significant, it’s not clinical-ly helpful and shouldn’t be used to

    • [PDF File]Statistical Significance, Effect Size, and Practical ...

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      describe characteristics of a sample. Inferential statistics: Statistical analyses used to draw conclusions about a population based on a sample. Inferential statistics provide information to determine if results are statistically significant. Effect size: Strength or magnitude of an effect or relationship.

    • SAMPLE SIZE: HOW MANY IS ENOUGH? - Griffith University

      Sample size is one element of research design that investigators need to consider as they plan their study. Reasons to accurately calculate the required sample size include achieving both a clinically and statistically significant result and ensuring research resources are used efficiently and ethically.

    • [PDF File]Sample Size for Multiple Regression: Obtaining Regression ...

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      vides sample size estimates that lead to confidence intervals that are sufficiently precise and thereby pro-duce results that are presumably more meaningful than simply being statistically significant. In the context of multiple regression, sample size can be approached from at least four different per-

    • [PDF File]When is statistical significance not significant? - SciELO

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      “statistically significant”. According to Henkel (1976), hypothesis testing is: Employed to test some assumption (hypothesis) we have about the popula-tion against a sample from the population (…) the result of a significance test is a probability which we attach to …

    • Statistical versus Practical Significance - The Atrium

      When a large sample size is accessible, even tiny deviations from the null hypothesis will be significant. If the study is based on a very large sample size, relationships found to be statistically significant may not have much practical significance. Almost any null hypothesis …

    • [PDF File]Results should not be reported as statistically ...

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      Statistical significance 2013 08 12 1 Results should not be reported as statistically significant or statistically non-significant “Statistical significance” is so commonly misreported and …

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