"A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features from a collection of information."
Measures of central tendency, measures of variability, histograms, and statistical graphics.
"Descriptive statistics is distinguished from inferential statistics (or inductive statistics) by its aim to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent."
"This generally means that descriptive statistics, unlike inferential statistics, is not developed on the basis of probability theory, and are frequently nonparametric statistics."
"Even when a data analysis draws its main conclusions using inferential statistics, descriptive statistics are generally also presented."
"For example, in papers reporting on human subjects, typically a table is included giving the overall sample size, sample sizes in important subgroups (e.g., for each treatment or exposure group), and demographic or clinical characteristics."
"Such as the average age, the proportion of subjects of each sex, the proportion of subjects with related co-morbidities, etc."
"Measures of central tendency include the mean, median and mode."
"Measures of variability include the standard deviation (or variance), the minimum and maximum values of the variables, kurtosis and skewness."
"Measures of central tendency quantitatively describe or summarize the typical or average value within a data set."
"The mean is an important measure of central tendency as it represents the arithmetic average of the data."
"The median represents the middle value in the data set when it is arranged in ascending order, whereas the mean is affected by extreme values."
"The mode is the value that appears most frequently in the data set."
"Measures of variability provide information about the range or extent of spread within a data set."
"The standard deviation measures the average distance between each data point and the mean."
"The minimum and maximum values give insights into the range of values observed in the data set."
"Kurtosis measures the distribution's departure from normality, particularly focusing on the tails or extreme values."
"Skewness indicates the asymmetry of the data distribution, specifically if it is skewed to the left or right."
"Descriptive statistics, unlike inferential statistics, is not developed on the basis of probability theory, and are frequently nonparametric statistics."
"Descriptive statistics aim to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent."
"Descriptive statistics are developed to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent."