What is Data in Statistics?
Data is a collection of observations, it can be in the form of numbers, words, measurements, or statements.
Types of Data
- Qualitative Data: This data is descriptive. For example – She is beautiful, He is tall, etc.
- Quantitative Data: This is numerical information. For example- A horse has four legs.
Types of Quantitative Data
- Discrete Data: It has a particular fixed value and can be counted.
- Continuous Data: It is not fixed but has a range of data and can be measured.
Statistical Data
When complete census data cannot be obtained, statisticians gather sample data through the creation of complex experiment designs and survey samples. Statistics, in and of itself, offers tools for prediction and forecasting via statistical models.
The scientific discipline of probability theory includes sampling theory. In mathematical statistics, probability is used to investigate the sampling distributions of sample statistics and, more broadly, the properties of statistical procedures like organizing and grouping data through graphs, pie charts, etc as discussed in the articles below:
- Data Handling
- Organizing Data
- Grouping Data
- Pie Chart
- Chance and Probability
- Introduction to Graphs
- Linear Graphs
- Presentation of data
- Graphical Representation of Data
- Bar graphs and Histograms
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