Descriptive Statistics

Descriptive Statistics: Types of Descriptive statistics and its importance by Muhammad Yousuf Ali

Descriptive statistics is one of the important domains of statistics it is use in our daily life. Individual students, researchers, teachers, public and organization and institution use and apply the Descriptive statistics for the better understanding of the data. In this small piece of writing, we discussed the following important point about the Descriptive statistics.

What is Descriptive statistics?

What are the types of Descriptive statistics?

What is the importance of Descriptive statistics?

What is Descriptive statistics?

Descriptive statistics is a branch of statistics that involves summarizing, organizing, and presenting data in a meaningful way. It focuses on describing and analyzing a dataset’s main features and characteristics without making any generalizations or inferences to a larger population.

What are the types of Descriptive Statistics?

There are four types of Descriptive Statistics

Measure Central Tendency

Measures of central tendency focus on the average or middle values of data sets, whereas measures of variability focus on the dispersion of data. These two measures use graphs, tables and general discussions to help people understand the meaning of the analyzed data.

Measure of Central Tendency calculated through Mean, Median, and Mode.

Measures of Variability

Measures of variability (or the measures of spread) aid in analyzing how dispersed the distribution is for a set of data. For example, while the measures of central tendency may give a person the average of a data set, it does not describe how the data is distributed within the set.

Measure of Variability calculated through Range, Variance, Standard Deviation.

Measure of Distribution/Frequency Distribution

Distribution (or frequency distribution) refers to the quantity of times a data point occurs. Alternatively, it is the measurement of a data point failing to occur. Consider a data set: male, male, female, female, female, other. The distribution of this data can be classified as Count, Frequency, Percent and etc.

Measure of Position

The measure of position defines that it determines the position of a single value in relation to other values in a sample or a population data set. It is not clear in the mean or standard deviation.

Measure of position calculated through Percentile Ranks, Quartile Ranks and etc.

What is the importance of Descriptive Statistics?

1. Descriptive statistics is important because it is organized raw data in effective and countable format.

2. Descriptive statistics enables us to present the data in a more meaningful way.

3. Descriptive statistics represent the data visualization shape like Tables, Graph, table, Chart and etc.

4. Descriptive statistics presents in very simple form so a lay man can easily understand the data.

5. Descriptive statistics is very helpful to understand the characteristics of research population or sample.

How to Cite this article:-

M.Y. Ali (2023). Descriptive Statistics: Types of Descriptive statistics and its importance.profileusuf.wordpress.com/descriptive-statistics/