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#Descriptive statistics stata movie#

Central tendency, which covers the averages of the values.

Distribution, which deals with each value’s frequency.

In the spirit of working with averages, we will go with three types. Some authors say that there are two types. Polls are relatively straightforward: “Who did you vote for President in the recent election?” Types of Descriptive Statisticsĭescriptive statistics break down into several types, characteristics, or measures. If you tried to come up with any other conclusions, you would be wandering into inferential statistics territory, but we'll later cover that issue.įinally, political polling is considered a descriptive statistic, provided it’s just presenting the concrete facts (the respondents’ answers), without drawing any conclusions. In this example, descriptive statistics measure the number of yes and no answers and shows how many people in this specific theater liked or disliked the movie.

#Descriptive statistics stata movie#

If you stood outside of a movie theater, asked 50 members of the audience if they liked the film they saw, then put your findings on a pie chart, that would be descriptive statistics. The data set’s mean is 4, arrived at by dividing the sum by the number of values (20 divided by 5 equals 4).Īnalysts often use charts and graphs to present descriptive statistics. Let’s assume a data set of 2, 3, 4, 5, and 6 equals a sum of 20. Instead, it provides a straightforward summary of students’ academic success based on values pulled from data. Note that the GPA doesn’t predict future performance or present any conclusions. A GPA gathers the data points created through a large selection of grades, classes, and exams, then averages them together and presents a general idea of the student’s mean academic performance. If you want a good example of descriptive statistics, look no further than a student’s grade point average (GPA). It helps analysts to understand the data better.ĭescriptive statistics represent the available data sample and does not include theories, inferences, probabilities, or conclusions. Descriptive statistics describe, show, and summarize the basic features of a dataset found in a given study, presented in a summary that describes the data sample and its measurements.