Descriptive statistics explained

How do you explain descriptive statistics data?
Descriptive statistics summarizes or describes the characteristics of a data set.
Descriptive statistics consists of three basic categories of measures: measures of central tendency, measures of variability (or spread), and frequency distribution..
How do you explain descriptive statistics in a dissertation?
These statistics will summarize your data set, either by focusing on specific groups or on the whole sample.
In order to report descriptive or frequencies statistics, you should outline all variables that you have used in your research and note whether those variables are continuous or categorical..
Types of descriptive statistics
Descriptive statistics examples in a research study include the mean, median, and mode.
Studies also frequently cite measures of dispersion including the standard deviation, variance, and range.
These values describe a data set just as it is, so it is called descriptive statistics..
Descriptive statistics are statistics that describe a variable's central tendency (the 'middle' or expected value) and dispersion (the distribution of the variable's responses).
Be aware that SPSS will calculate statistics even if the measure of central tendency and dispersion are not appropriate.

How do you explain descriptive statistics data?