# Descriptive statistics examples

## What is an example of a descriptive statistics of a classroom?

The descriptive statistics examples are given as follows: Suppose the marks of students belonging to class A are {70, 85, 90, 65) and class B are {60, 40, 89, 96}.

Then the average marks of each class can be given by the mean as 77.5 and 71.25.

This denotes that the average of class A is more than class B..

## What is an example of descriptive statistics psych?

Descriptive Statistics

Examples include percentages, measures of central tendency (mean, median, mode), measures of dispersion (range, standard deviation, variance), and correlation coefficients.

Measures of central tendency are used to describe the typical, average and center of a distribution of scores..

## What is an example of how descriptive statistics could be used in business?

Examples of descriptive analytics include KPIs such as year-on-year percentage sales growth, revenue per customer and the average time customers take to pay bills.

The products of descriptive analytics appear in financial statements, other reports, dashboards and presentations..

- Examples on Descriptive and Inferential Statistics

Example 1: The scores of 2 groups of students belonging to different classes are noted.

Using descriptive and inferential statistics see which group exhibits a higher variability in performance.

Solution: To describe the variability in performance the variance is used. - The descriptive statistics examples are given as follows: Suppose the marks of students belonging to class A are {70, 85, 90, 65) and class B are {60, 40, 89, 96}.

Then the average marks of each class can be given by the mean as 77.5 and 71.25.

This denotes that the average of class A is more than class B.

Descriptive Statistics Examples- Mean: Add up all the scores and divide by the number of scores.
- Median: Arrange the scores in ascending order and find the middle value.
- Mode: Identify the score(s) that appear(s) most frequently.
- Range: Calculate the difference between the highest and lowest scores.

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.

Examples include measures of central tendency, such as mean, median, and mode, which provide information about the typical value in the dataset. Measures of variability, such as range, variance, and standard deviation, describe the spread or dispersion of the data.

### Frequency Distribution

A data set is made up of a distribution of values, or scores. In tables or graphs ### Measures of Central Tendency

Measures of central tendencyestimate the center, or average, of a data set. The mean, median and mode are 3 ways of finding the average ### Measures of Variability

Measures of variabilitygive you a sense of how spread out the response values are. The range ### Univariate Descriptive Statistics

Univariate descriptive statistics focus on only one variable at a time ### Bivariate Descriptive Statistics

If you’ve collected dataon more than one variable ### Other Interesting Articles

If you want to know more about statistics, methodology, or research bias ## What is an example of a descriptive statistic?

For example, a descriptive statistic could include the proportion of males and females within a sample or the percentages of different age groups within a population

Another common descriptive statistic is the humble average (which in statistics-talk is called the mean )

## What is the difference between descriptive and inferential statistics?

In the world of statistical data, there are two classifications: descriptive and inferential statistics

In a nutshell, descriptive statistics just describes and summarizes data but do not allow us to draw conclusions about the whole population from which we took the sample

You are simply summarizing the data with charts, tables, and graphs

Descriptive statistics just describes data. For example, descriptive statistics about a college could include:

** the average SAT score for incoming freshmen; the median income of parents; racial makeup of the student body**. It says nothing about why the data might exist, or what trends you might be able to see from the data.For example, a descriptive statistic could include the

** proportion of males and females within a sample or the percentages of different age groups within a population**. Another common descriptive statistic is the humble average (which in statistics-talk is called the mean).Descriptive statistics are informational and meant to describe the actual characteristics of a data set. When analyzing numbers regarding the prior Major League Baseball season, descriptive statistics including the

** highest batting average for a single player, the number of runs allowed per team, and the average wins per division**.The mean, the mode, the median, the range, and the standard deviation are all

**examples** of

**descriptive** **statistics**.

**The descriptive statistics examples are given as follows:**

- Suppose the marks of students belonging to class A are {70, 85, 90, 65) and class B are {60, 40, 89, 96}. Then the average marks of each class can be given by the mean as 77.5 and 71.25. ...

**Spatial descriptive statistics** is the intersection of spatial statistics and descriptive statistics; these methods are used for a variety of purposes in geography, particularly in quantitative data analyses involving Geographic Information Systems (GIS).