Representation of data
Data may be represented in various ways, including tables, charts, and graphs. In general, statistical data are represented as follows:
- Bar Graph
- Pie Chart
- Line Graph
- Pictograph
- Histogram
- Frequency Distribution
In a bar graph, rectangular bars with lengths corresponding to the values they indicate are used to demonstrate data groups. Both a vertical and a horizontal bar plot are possible. | |
The histogram is a type of graph where the diagram consists of rectangles, the area is proportional to the frequency of a variable and the width is equal to the class interval. | |
The line chart is represented by a series of data points connected with a straight line. | |
A pie chart is a form of graph where a circle is divided into sectors, each of which represents a percentage of the entire. | |
In a pictograph, information is displayed as images. Different numbers can be used to represent various pictorial symbols for words, objects, and phrases. | |
Statistics display the data in ascending order together with their accompanying frequencies in a frequency distribution table. f is a common way to indicate the data’s frequency. |
Statistics in Maths
Statistics in Maths: Statistics constitutes a mathematical discipline focused on gathering, scrutinizing, interpreting, and portraying data. While some view it as a standalone scientific field, others classify it as a separate branch within mathematics.
In simpler words, it is a field to collect and summarize data. There are two important principles involved in statistics they are, uncertainty and variation. These two factors can be calculated only through statistical analysis. This uncertainty in events is determined with the help of probability which plays an important role in the field of statistics.
Statistics has a wide range of applications in many disciplines, including economics, psychology, geology, weather forecasts, and so on. The information gathered for research here may be quantitative or qualitative. Quantitative data can also be divided into two types: discrete and continuous. Continuous data has a spectrum rather than a single value, whereas discrete data has a fixed value.
Table of Content
- What is Statistics?
- Examples of Statistics
- Basics of Statistics
- What is Mathematical Statistics?
- Types of Statistics
- Statistics Formulas
- Scope of Statistics
- Methods in Statistics
- What is Data in Statistics?
- Types of Data
- Types of Quantitative Data
- Statistical Data
- Representation of data
- Statistical Methods
- Measures of Central Tendency
- Measures of Dispersion
- Skewness in Statistics
- ANOVA Statistics
- Degree of Freedom
- Regression Analysis
- Applications of Statistics