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A p-value is the probability of obtaining a test statistic as extreme or more extreme than the one actually obtained if the null hypothesis were true. If this p-value is less than the level of significance (usually set by the experimenter as .05 or .01), we reject the null hypothesis. Otherwise, we retain the null hypothesis.

Therefore, a p-value of 0.66 tell us not to reject the null hypothesis.

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How do you find p value with test statistic and critical value?

Normally you would find the critical value when given the p value and the test statistic.


What is the value of p if 9p 162?

If 9p = 162 then p = 162/9 = 18.


What is a significantly significant p value?

A significantly significant p-value typically refers to a p-value that is less than a predetermined threshold, commonly set at 0.05. This indicates that the observed results are unlikely to have occurred by random chance alone, suggesting that there is a statistically significant effect or relationship in the data. In scientific research, a p-value below this threshold often leads to the rejection of the null hypothesis. However, it's important to consider the context and other factors, such as effect size and study design, when interpreting p-values.


Is 0.001 statistically significant?

Statistical significance is determined by comparing a p-value to a predetermined significance level, often set at 0.05. A p-value of 0.001 indicates a result that is highly statistically significant, as it suggests a less than 0.1% probability that the observed effect is due to chance. Thus, if this p-value is derived from a relevant analysis, it would typically be considered statistically significant.


Define p-value vs - z score?

The p-value is the probability of any event or the level of significance for any statistical test. The z-score is a transformation applied to a Random Variable with any Normal distribution to the Standard Normal distribution.

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