What is an acceptable p-value?

Accuracy of 90% is associated with p-value of 2%. Use of p-values up to 20% (accuracies above 50%) are acceptable to verify significance of genetic effects. Sample sizes for desired p-values are found via accuracy values.
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What is a reasonable p-value?

The lower the p-value, the greater the statistical significance of the observed difference. A p-value of 0.05 or lower is generally considered statistically significant.
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What is the acceptable range of p-value?

Being a probability, P can take any value between 0 and 1. Values close to 0 indicate that the observed difference is unlikely to be due to chance, whereas a P value close to 1 suggests no difference between the groups other than due to chance.
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What is a good p-value for normal distribution?

Prism also uses the traditional 0.05 cut-off to answer the question whether the data passed the normality test. If the P value is greater than 0.05, the answer is Yes. If the P value is less than or equal to 0.05, the answer is No.
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What is a nominal p-value?

The nominal p-value is a calculated observed significance based on a given statistical model. When the statistical model reflects the actual test performed the nominal and actual p-value coincide.
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Statistical Significance, the Null Hypothesis and P-Values Defined & Explained in One Minute

What does P 0.05 mean?

P > 0.05 is the probability that the null hypothesis is true. 1 minus the P value is the probability that the alternative hypothesis is true. A statistically significant test result (P ≤ 0.05) means that the test hypothesis is false or should be rejected. A P value greater than 0.05 means that no effect was observed.
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What does 0.4 p-value mean?

0.4 is a very unremarkable p-value, it just means that the null hypothesis would generate data at least as extreme 40% of the time.
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What should be the ideal p-value?

A P-value less than 0.05 is deemed to be statistically significant, meaning the null hypothesis should be rejected in such a case. A P-Value greater than 0.05 is not considered to be statistically significant, meaning the null hypothesis should not be rejected.
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What is a good value of p?

It has been observed in many articles published in medical journals that if the P-value is less than 0.05, the study is considered positive. If the P-value is more than 0.05, it is considered negative.
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Is 0.7 a good p-value?

A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis. A large p-value (> 0.05) indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.
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What is a good p level?

The p-value can be perceived as an oracle that judges our results. If the p-value is 0.05 or lower, the result is trumpeted as significant, but if it is higher than 0.05, the result is non-significant and tends to be passed over in silence. So what is the p-value really, and why is 0.05 so important?
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What is the highest acceptable p-value?

These numbers can give a false sense of security. Most authors refer to statistically significant as P < 0.05 and statistically highly significant as P < 0.001 (less than one in a thousand chance of being wrong).
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Is 0.5 a high p-value?

A P-value above 0.5 is considered to be insignificant while anything below 0.05 is considered to be significant and a P-value less than 0.001 is extremely significant.
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What should be the range of p-value?

The p-value can range between 0 and 1. The higher the value, the more confidence you can have that any difference that you see is real and not just random variation. Of course, your final decision is based on how the p-value compares to your alpha risk.
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What is a confident p-value?

In accordance with the conventional acceptance of statistical significance at a P-value of 0.05 or 5%, CI are frequently calculated at a confidence level of 95%. In general, if an observed result is statistically significant at a P-value of 0.05, then the null hypothesis should not fall within the 95% CI.
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How do you explain p-value?

The p-value is the probability that the observed effect within the study would have occurred by chance if, in reality, there was no true effect. Conventionally, data yielding a p<0.05 or p<0.01 is considered statistically significant.
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What should a normal p-value be?

If your p-value is less than or equal to 0.05 (the significance level), you would conclude that your result is statistically significant. This means the evidence is strong enough to reject the null hypothesis in favor of the alternative hypothesis.
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Is 0.2 a high p-value?

Any p value less then 0.05 is considered significant in a statistical sense, even if the actual mean difference is quite small. It's rare that someone bothers comparing two p values that are so high (0.2 and 0.9). Both really indicate the same thing: no substantial difference between your two samples.
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How big should p-value be?

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  • When there definitely is an effect, p-values should be less than 0.001 most of the time, AND less than 0.01 almost all the time; p-values larger than 0.10 should be exceedingly rare
  • A result with p < 0.001 should provide a more accurate estimate of the true effect than a result with p = 0.01 or p = 0.05.
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What is an acceptable p?

In most fields, acceptable p-values should be under 0.05 while in other fields a p-value of under 0.01 is required. This cut-off number is known in statistics as the alpha, and results from experiments with p-values below this threshold are considered to be statistically significant.
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Is p-value 0.1 acceptable?

And although 0.5 or below is generally regarded as the threshold for significant results, that doesn't always mean that a test result which falls between 0.05 and 0.1 isn't worth looking at. It just means that the evidence against the null hypothesis is weak.
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What is an ideal p?

An ideal P in a ring A is called prime if P 6= A and if for every pair x, y of elements in A\P we have xy 6∈ P. Equivalently, if for every pair of ideals I,J such that I,J 6⊂ P we have IJ 6⊂ P. Definition. An ideal m in a ring A is called maximal if m 6= A and the only ideal strictly containing m is A.
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What is a good value of p-value?

However, defining what constitutes a small p-value is not straightforward1. Commonly adopted guidelines suggest p < 0.001 as very strong evidence, p < 0.01 as strong evidence, p < 0.05 as moderate evidence, p < 0.1 as weak evidence or a trend, and p ≥ 0.1 as insufficient evidence.
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What is a bad p-value?

The p-value only tells you how likely the data you have observed is to have occurred under the null hypothesis. If the p-value is below your threshold of significance (typically p < 0.05), then you can reject the null hypothesis, but this does not necessarily mean that your alternative hypothesis is true.
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How to interpret t test p-value?

If the p-value associated with the t-test is not small (p > 0.05), then the null hypothesis is not rejected and you can conclude that the mean is not different from the hypothesized value.
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