Examples of 'p-value' in a sentence
Meaning of "p-value"
p-value (noun) - a statistical measure that helps determine the significance of results in hypothesis testing within scientific research or experiments
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- In statistical significance testing, the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true.
How to use "p-value" in a sentence
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p-value
Calculate the p-value associated to a hypothesis test.
Adjusted treatment difference p-value versus placebo.
P-value displayed for descriptive purpose only.
This is called a p-value approach to hypothesis testing.
The results were considered significant if the p-value was.
The p-value was statistically significant across correlations.
The result of each comparison is expressed in p-value.
The p-value is calculated for each comparison.
The result of each comparison has a p-value.
A lower p-value means stronger statistical significance.
We considered as significant the results with a p-value.
And p-value is the smallestt level of significane.
It is noteworthy that the p-value of all results was.
Those variables that remained with p-value.
P-value refers to comparison between arms.
See also
Every association where the p-value difference was.
Variables with a statistically significant association p-value.
This determines how the p-value is computed.
For example statistical significance is determined by p-value.
The p-value for statistical significance was.
The statistical tests often return a p-value.
The p-value can be easily computed via permutations.
The proportion test gives an approximate p-value.
The p-value is greater than our significance level.
Which is indeed the definition of the p-value.
Use the appropriate p-value to make your decision.
I agree with her definition of the p-value.
A smaller p-value does not imply a more significant result.
One standard statistical analysis is the p-value.
A low p-value means the alternative hypothesis is true.
The associated statistical test gives a p-value.
If the p-value is less than the level of significa.
That shape the determination of the p-value.
The p-value reflects the clinical importance of an effect.
Needed to improve the accuracy of p-value calculations.
A p-value is a possibility connected with your important worth.
We then used the p-value to test the hypothesis.
This difference is statistically significant p-value.
Calculate the p-value by using the normal distribution.
The findings were considered significant when the p-value.
The p-value is a statistical measure of significance.
We considered the differences significant when the p-value.
And p-value are generally accepted methods for evaluation.
The significance level was established as a p-value.
Statistical tests produce a p-value used to assess this.
Associations were considered significant with p-value.
The p-value is presented with three digits and no approximation.
Apply the concepts of hypothesis testing and p-value.
The p-value was statistically significant.
Statistical significance is measured using a p-value.
