Examples of 'statistical power' in a sentence
Meaning of "statistical power"
statistical power: Refers to the probability that a statistical test will detect an effect when it actually exists. It is important in determining the reliability of research results
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- The probability that a statistical test will reject a false null hypothesis, that is, that it will not make a type II error, producing a false negative.
How to use "statistical power" in a sentence
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statistical power
Statistical power may depend on a number of factors.
They are said to have more statistical power.
The statistical power of the sample was calculated a posteriori.
They have too much statistical power.
No statistical power calculation was conducted prior to the study.
This could be due to a lack of statistical power.
Statistical power relies in part on high sample size.
This could be because of a lack of statistical power.
The statistical power is also often quite low.
This might be explained by a lack of statistical power.
Low statistical power of test statistics.
This may be due to lack of statistical power.
Statistical power was low for this analysis.
This situation limits the statistical power.
Statistical power is critically relevant but often overlooked.
See also
This strategy leads to an increased statistical power.
Understanding statistical power in the context of applied research.
One of these is with respect to statistical power.
This is the statistical power of a study.
A larger sample could increase its statistical power.
The statistical power was calculated when significant differences were observed.
The calculation of the statistical power is then needed.
Add statistical power when cases are unduly difficult to obtain.
This increased the statistical power of the study.
It is possible that our analyses lacked statistical power.
It lacks the statistical power to demonstrate anything on its own.
Although the study had sufficient statistical power to.
Excel has a lot of statistical power if you know how to use it.
Are not easily explained solely through a lack of statistical power.
This might reduce the statistical power of the study.
It has been dryly noted that the study lacks statistical power.
The goal is to have adequate statistical power to detect differences in outcomes.
The evidence you presented has practically zero statistical power.
This does not have sufficient statistical power to change the research.
The experimental design used must include consideration of adequate statistical power.
This could be due to the statistical power of this study.
Many previously published studies have the problem of inadequate statistical power.
This could have reduced the statistical power of the study.
It is necessary to calculate sample sizes a priori in order to obtain sufficient statistical power.
Ensure sufficient statistical power.
Statistical power was determined a posteriori to establish the beta error in the detection of associations.
Decide on the desired statistical power.
Statistical power and optimum design in experiments in which participants respond to samples of stimuli.
This is also known as statistical power.
Statistical power analysis for the Behavioral Sciences.
In order to have the statistical power.
Thus, the statistical power of the present study is limited.
The sample size was determined by statistical power calculations.
Statistical power and significance testing in large-scale genetic studies.
Used as a measure of statistical power.
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