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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.
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.
What compares the probability of an event occurring to the probability that it will not occur?
If the probability of an event occurring is p, then 1-p represents the probability of the same event not occurring. The value of p must lie between 0 and 1.
What Interpretation of p value statistics?
p value are used when comparing the likelihood of a stated [null] hypothesis being true against a stated alternative. It is a measure of the probability with which an observation which is at least as extreme as that observed will occur even though the null hypothesis is true.
