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.
Normally you would find the critical value when given the p value and the test statistic.
A numerical value calculated for a sample is called a descriptive statistic.
The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.
A descriptive statistic describes the characteristics of a known set of data; such as mean, median, mode, range, standard deviation and so forth.
The variance.
Normally you would find the critical value when given the p value and the test statistic.
A numerical value calculated for a sample is called a descriptive statistic.
To report the F statistic in APA format, you would typically include the degrees of freedom for the numerator and denominator in parentheses, followed by the F value and p-value. For example: F(df1, df2) F value, p p-value.
Statistic
The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.
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
A t-test is a inferential statistic. Other inferential statistics are confidence interval, margin of error, and ANOVA. An inferential statistic infers something about a population. A descriptive statistic describes a population. Descriptive statistics include percentages, means, variance, and regression.
A descriptive statistic describes the characteristics of a known set of data; such as mean, median, mode, range, standard deviation and so forth.
what example for decriptive statistic
Descriptive and Inferencial statistic
The variance.
A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.