Data in Statistics
Data is the collection of numbers, words or anything that can be arranged to form a meaningful information. There are various types of the data in the statistics that are added below,
Types of Data
Various types of Data used in statistics are,
- Qualitative Data – Qualitative data is the descriptive data of any object. For example, Kabir is tall, Kaira is thin, etc.
- Quantitative Data – Quantitative data is the numerical data of any object. For example, he ate three chapatis, and we are five friends.
Types of Quantitative Data
We have two types of quantitative data that include,
- Discreate Data: The data that have fixed value is called discreate data, discreate data can easily be counted.
- Continuous Data: The data that has no fixed value and has a range of data is called continuous data. It can be measured.
Introduction of Statistics and its Types
Statistics and its Types: Statistics is a branch of math focused on collecting, organizing, and understanding numerical data. It involves analyzing and interpreting data to solve real-life problems, using various quantitative models. Some view statistics as a separate scientific discipline rather than just a branch of math. It simplifies complex tasks and offers clear insights into regular activities. Statistics finds applications in diverse fields like weather forecasting, stock market analysis, insurance, betting, and data science.
In this article, we will learn about, What is Statistics, Types of Statistics, Models of Statistics, Statistics Examples, and others in detail.
Table of Content
- What are Statistics?
- Types of Statistics
- Descriptive Statistics
- Inferential Statistics
- Hypothesis Testing
- Data in Statistics
- Representation of Data
- Models of Statistics
- Data Analysis
- Types of Data Analysis
- Coefficient of Variation
- Applications of Statistics
- Business Statistics
- Scope of Statistics
- Limitations of Statistics
- Solved Problems – Statistics
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