Examples of using P-value in English and their translations into Chinese
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The p-value is unchanged.
This probability is called p-value.
What does"p-value" mean?
That probability is called the p-value.
The p-value is 0.1.
Apply the concepts of hypothesis testing and p-value.
How the p-value is calculated.
Minitab uses the chi-square distribution to estimate the p-value for this test.
What is p-value in statistics?
The p-value is compared to the pre-chosen alpha value.
Compute the p-value of this difference.
P-value> α: You cannot conclude that the data do not follow a Poisson distribution(Fail to reject H0).
You utilize a p-value, to make the decision.
A p-value is the probability that the results from your sample data occurred by chance.
That's the p-value, based on deductive reasoning.
The P-value was calculated by Fisher's exact test.
However, most people use the p-value or the confidence interval because they are easier to interpret.
If p-value is higher that the importance level of 0,05, we accept this hypothesis.
The choice of returning a p-value or a list of critical values is really an implementation choice.
The p-value 0.03 means that there's 3% (probability in percentage) that the result is due to chance- which is not true.
This is done by comparing the p-value to a threshold value chosen beforehand called the significance level.
However, the p-value is used more often because it is easier to interpret.
In many areas of research, the p-value of .05 is customarily treated as a"borderline acceptable" error level.
Abstract: P-value combination is an important statistical approach for information-aggregated decision making.
A common misunderstanding is that the p-value is a probability of the null hypothesis being true or false given the data.
However, the p-value is used more often because the threshold for rejection is the same no matter what the degrees of freedom are.
Essentially, p-value is a probabilistic measure of statistical errors.
Having just the p-value is not enough, we need to set a threshold(aka significance level- alpha).
Because this p-value is less than α, you declare statistical significance and reject the null hypothesis.
Specifically, a p-value of 0.05 means that there is a 5 percent chance that the observed performance difference would arise due to purely random chance.