Examples of using P-value in English and their translations into Vietnamese
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The p-value is small.
To figure this out, they most commonly use the p-value.
The P-value is closest to.
The conditional probability is usually called the p-value or sometimes just p.
This p-value is often added to the anova table.
An observation is considered statistically significant if its probability by chance alone,called a p-value, is less than 5%.
The p-value does not tell us anything about how probable the truth of the null hypothesis is.
Using a simple t-test, you can calculate a p-value and determine significance between two different groups of a dataset.
A p-value, or the statistical significance, does not measure the size of an effect or the importance of a result.
Scientific conclusions, business orpolicy decisions should not be based solely on whether a p-value passes a specific threshold.
It also includes the P-value, a statistical value that also helps underline the reliability of your stats.
The post-transplantation GMFM-88 total score, each of its domains andthe GMFM-66 percentile were all significantly higher(p-value< 0.001).
For example, we approximate p-values by running Monte Carlo simulations, which reinforces the meaning of the p-value.
But if patients on the drug were only 1 percent better,the statistical significance derived from the p-value would likely have no practical value.
Then we defined the p-value, which is P(E|H0), where E is an effect as big as or bigger than the apparent effect.
Reject the null hypothesis, in favor of the alternative hypothesis,if and only if the p-value is less than the significance level(the selected probability) threshold.
And with a p-value of less than 0.001, we have strong statistical evidence that this drug prevents migraine headaches- without daily administration.
In other words,assuming the drugs have the same effect, the p-value estimates how likely it is to get a result suggesting A is at least 10 percent better.
The exact definition of p-value," said Ioannidis,"is that if the null hypothesis is correct, the p-value is the chance of observing the research result or some more extreme result.".
Pragmatic considerations often require binary,“yes-no” decisions,but this does not mean that p-value alone can ensure that a decision is correct or incorrect.
You will get a result that shows the P-value(another measure of reliability), and tells you whether the test has statistical significance by showing Yes or No.
To see why, think about the definition of false positive- the chance of accepting a hypothesis that is false-and the definition of a p-value- the chance of generating the measured effect if the hypothesis is false.
Generally, if a statistical test shows that the p-value is lower than 5%, the study's results are considered"significant"- most likely due to actual effects.
The exact definition of p-value," said how long for prednisone to work Ioannidis,"is that if the null hypothesis is correct, the p-value is the chance of observing the research result or some more extreme result.
So, for example, if drugs A and B are equally effective andyou run a study comparing them, a p-value of 0.05 means that drug A will appear to be at least 10 percent more effective than drug B about 5 percent of the time.
The formal measure of this is the p-value derived from the F-statistic, which represents the likelihood our data would have been generated purely by random chance- that is, if there were no actual relationship between“Reddit Members” and“Market Cap”.
Unfortunately, many researchers mistakenly think that a p-value is an estimate of how likely it is that the null hypothesis is not correct or that the result is true.
The formal measure of this is the p-value derived from the F-statistic, which represents the likelihood our data would have been generated purely by random chance- that is, if there were no actual relationship between“Reddit Members” and“Market Cap”.
We can use a Monte Carlo simulation to compute the p-value, which is the probability of seeing a chi-square statistic as high as the observed value under the null hypothesis.
The formal measure of this is the p-value derived from the F-statistic, which represents the likelihood our data would have been generated purely by random chance- that is, if there were no actual relationship between“Reddit Members” and“Market Cap”.