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.
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.
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 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
To compute the p-value, you do not need to know the population parameters, such as the population mean or standard deviation. Instead, you only need the sample data, the test statistic calculated from that data, and the distribution of the test statistic under the null hypothesis. The p-value is then derived from the likelihood of observing the test statistic or more extreme values, given the null hypothesis is true.
Descriptive and Inferencial statistic
The variance.