Examples of descriptive statistics in the following topics:

 Descriptive statistics and inferential statistics are both important components of statistics when learning about a population.
 Descriptive statistics is the discipline of quantitatively describing the main features of a collection of data, or the quantitative description itself.
 Descriptive statistics are distinguished from inferential statistics in that 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.
 This generally means that descriptive statistics, unlike inferential statistics, are not developed on the basis of probability theory.
 Even when a data analysis draws its main conclusions using inferential statistics, descriptive statistics are generally also presented.

 Descriptive statistics are numbers that are used to summarize and describe data.
 Any other number we choose to compute also counts as a descriptive statistic for the data from which the statistic is computed.
 Several descriptive statistics are often used at one time to give a full picture of the data.
 You probably know that descriptive statistics are central to the world of sports.
 There are many descriptive statistics that we can compute from the data in the table.



 Statistical models can also be used to draw statistical inferences about the process or population under study—a practice called inferential statistics.
 Descriptive statistics and analysis of the new data tend to provide more information as to the truth of the proposition.
 This data can then be subjected to statistical analysis, serving two related purposes: description and inference.
 Descriptive statistics summarize the population data by describing what was observed in the sample numerically or graphically.
 In descriptive statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount as simply as possible.




 What method could be used to test whether this difference between the experimental and control groups is statistically significant?

 Perhaps the fullest description was presented on the CNNMoney website (A service of CNN, Fortune, and Money) in an article entitled "Survey: iPhone retention 94% vs.