0
The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.
Wiki User
∙ 7y ago
Add your answer:
Earn +20 pts
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.
Is p value a descriptive statistic?
No, it is not. A descriptive statistic is a measure such as mean, standard deviation etc., computed from a set of observations. A p value is something that is obtained by computing a test statistic (using a formula which may involve mean, variance etc.,) and finding the probability of obtaining a value as great as or greater than the one actually obtained. In other words, a p value is a probability and must lie between 0 and 1 whereas a descriptive statistic is not a probability. It is just a number used to describe a specific characteristic of a set of sata.
What is Hypothesis Testing of p-value?
The probability of the observed value or something more extreme under the assumption that the null hypothesis is true. That is, the probability of standard scores at least as extreme as the observed test statistic.
What does a p value of 0.66 tell us?
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.
What does a high F statistic mean?
A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.
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 are p values?
The p-value is the probability of obtaining a test statistic result at least as extreme, or as close to the actual observation. The p-value is only valid if the null hypothesis is true.
What is p value in regression analysis?
The p value is NOT a probability but a likelihood. It tells you the likelihood that the coefficient of a variable in regression is non zero. The p-value is: The probability of observing the calculated value of the test statistic if the null hypothesis is true
Using which test the p-value is calculated?
In statistical significance testing, the p-value is the probability of obtaining a test statistic result at least as extreme or as close to the one that was actually observed. This is assuming that the null hypothesis is true.
Find a p-value given z and the population mean Find the P-value in a test of the claim that a population mean is equal to 100 given that the test statistic is z equals 1.50?
The probability of observing a z value equal to or more extreme than 1.50 is 0.1336
In scientific terms what does P value stand for?
P-value is short for "Probability Value." It is a measure of statistical significance whereas the p-value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true. The lower the p-value, the less likely the result is if the null hypothesis is true, and consequently the more "significant" the result is.
Is p value a descriptive statistic?
No, it is not. A descriptive statistic is a measure such as mean, standard deviation etc., computed from a set of observations. A p value is something that is obtained by computing a test statistic (using a formula which may involve mean, variance etc.,) and finding the probability of obtaining a value as great as or greater than the one actually obtained. In other words, a p value is a probability and must lie between 0 and 1 whereas a descriptive statistic is not a probability. It is just a number used to describe a specific characteristic of a set of sata.
What is Hypothesis Testing of p-value?
The probability of the observed value or something more extreme under the assumption that the null hypothesis is true. That is, the probability of standard scores at least as extreme as the observed test statistic.
Which test is used to calculate P-value?
ZTest
What does a p value of 0.66 tell us?
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.
How do I tell if a T-test is significant with an alpha of 05 and if you already have significance values?
If you already have your p-value, compare it with 0.05. If the p-value is less than an alpha of 0.05, the t-test is significant. If it is above 0.05, the t-test is not significant.
What does a high F statistic mean?
A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.
