Descriptive Statisticsĭescriptive statistics are summary measures used to describe the most basic features of a dataset such as center, variability, and distributional characteristics. There you will find formulas, references, discussions, and examples or tutorials describing the procedure in detail. If you would like to examine the formulas and technical details relating to a specific NCSS procedure, click on the corresponding ‘’ link under each heading to load the complete procedure documentation. This page is designed to give a general overview of the capabilities of NCSS for computing summary statistics.
A wide variety of descriptive statistics are available in NCSS, including the most basic statistics like mean and confidence interval, median, percentiles, proportion, range, variance and standard deviation and more advanced statistics like skewness, kurtosis, coefficient of variation (COV), and mean absolute deviation (MAD) to name just a few. One of the most basic yet most important tasks of any data-driven project is to summarize the data and present it in a way that is easy to understand, visualize, and interpret. Descriptive Statistics – Summary Tables.
Descriptive statistical calculations install#
To see how these tools can benefit you, we recommend you download and install the free trial of NCSS. Use the links below to jump to the descriptive statistics topic you would like to examine. It’s easy in NCSS to generate and modify tables of summary statistics that can be copied right into a report or presentation. Informative plots are generated right along with customizable descriptive reports.
NCSS contains a wide variety of easy-to-use tools for describing and summarizing data efficiently and accurately.
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