Descriptive statistical research can be determined using
- The most recognized types of descriptive statistics are measures of center: the mean, median, and mode, which are used at almost all levels of math and statistics.
The mean, or the average, is calculated by adding all the figures within the data set and then dividing by the number of figures within the set.
In the process of producing summaries of the sample, we use measures like mean, median, variance, graphs, charts, frequencies, histograms, box and whisker plots, and percentages. For datasets with just one variable, we use univariate descriptive statistics.
Descriptive statistics involves averages, frequencies, and percentages for categorical data, and standard deviations for continuous data. The statistical measures used in descriptive statistics are the measures of central tendency, measures of spread, and measures of skewness.Descriptive statistics present a concise view of a large data set. The explanation of the data set is arrived at using 3 characteristics of the data out of which one is graphical: The Distribution of the Dataset The Measure of Central Tendency The Measure of Dispersion or VariationThe most common types of descriptive statistics are the measures of central tendency (mean, median, and mode) that are used in most levels of math, research, evidence-based practice, and quality improvement. These measures describe the central portion of frequency distribution for a data set.Descriptive statistics uses data visualization tools such as tables, graphs and charts to make analysis and interpretation easier. However, descriptive statistics is not suitable for making conclusions. It can only represent data so you can apply more sophisticated statistical analysis tools to draw inferences.Descriptive statistics, especially in fields such as medicine, often visually depict data using scatter plots, histograms, line graphs, or stem and leaf displays.
