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Analysis of Variance or ANOVA is defined as statistical technique which is applied to a group of causes. With the logical construction of experiment, this technique is said to be related to the design of experiment. It can also be explained as the degree of uncertainty that defines the inference of the causes.
Whenever an experiment is performed, the different objects require to compare the terminology is called treatment and other homogenous subgroups are called blocks. This is the reason several experts have defined some statements related to the design of experiments.
Basic principles that are stated by Prof. R. A. Fisher are as follows-
- Replication- It means repetition of treatments under investigation
- Randomization- It means to get a logical basis that will be the statistical test of significance
- Local Control- It can be defined as the experimental procedure to increase the efficiency of the design by changing the heterogeneous areas into simple homogeneous blocks.
Links of Previous Main Topic:-
- Introduction to statistics
- Knowledge of central tendency or location
- Definition of dispersion
- Moments
- Bivariate distribution
- Theorem of total probability addition theorem
- Random variable
- Binomial distribution
- What is sampling
- Estimation
- Statistical hypothesis and related terms
Links of Next Statistics Topics:-
- Definition of stochastic process
- Introduction operations research
- Introduction and mathematical formulation in transportation problems
- Introduction and mathematical formulation
- Queuing theory introduction
- Inventory control introduction
- Simulation introduction
- Time calculations in network
- Introduction of game theory
