Examples of using P-value in English and their translations into Chinese
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Instead, the p-value can be thought of as the probability of the data given the pre-specified assumption embedded in the statistical test.
Thus, the bar chart visually confirms what the p-value indicates, which is that the data do not follow a Poisson distribution.
Using a simple t-test, you can calculate a p-value and determine significance between two different groups of a dataset.
Minitab uses the t-value to calculate the p-value, which you use to make a decision about the statistical significance of the BLUP values.
In most cases, a p-value of 0.05(5%) is accepted to mean the data is valid.
If the p-value is less than the α-level, then you reject H0 and claim that your results are statistically significant.
One response involves going beyond reporting only the significance level to include the p-value when reporting whether a hypothesis is rejected or accepted.
Here's how we can use the p-value of 0.03 to help us to make a reasonable decision(IMPORTANT).
For analyzing correlated data, we provide efficient solutions for analytical calculations of the p-value.
So the P-value is the chance(computed under the null hypothesis) of getting a test statistic equal to our observed value of 0.73352272727272805 or larger.
When we execute a hypothesis test in statistics, a p-value helps us in determine the significance of our results.
Therefore, the p-value is conditional on the marginal totals of the table.
P Value When you perform a hypothesis test in statistics, a p-value helps you determine the significance of your results.
Because the data did not pass a normality test, use the p-value for the Bonett method.
The postulate that there is no real effect is called the null hypothesis, and the probability is called the p-value.
Because the interpretation of the Mann-Whitney statistic depends on the sample size, use the p-value to make a decision about the test.
If the value of test statistic is less than the Z-score of alpha level(or p-value is less than alpha value), reject the null hypothesis.
When you have summarized data, Minitab cannot calculate a p-value for the Bonett method.
The lower the p-value, the more confident you can be that your findings are reliable.
The p-value is an all-purpose measure that scientists often use to determine whether or not an experimental result is“statistically significant.”.