Basics of Statistics
The basics of statistics comprise of :
- Measure of Central tendency (Mean, Median, Mode)
- Measure of Dispersion (Variance and Standard Deviation)
Mean is the average of the observations. Median is the middle or the central value of the observations when arranged in order. The mode is the most frequently occurring observation in the data set.
Variance is defined as the measure of how far a set of data are dispersed from its mean value and is calculated by the average of the squared differences from the mean. Standard Deviation is the square root of variance.
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