Statistics can be defined as a branch of Math that involves the collection, analysis, interpretation/explanation and presentation of data. It as well provides tools for prediction and forecasting based on the available data. The following are some of the main areas in which it is applicable:
- academic disciplines
- natural and social sciences
“As a Mathematical Foundation for Statistics, Probability Theory is essential to many Human Activities that involve Quantitative Analysis of large sets of data. Methods of Probability Theory also apply to Descriptions of complex systems given only Partial Knowledge of their State, as in Statistical Mechanics. A Great Discovery of twentieth century Physics was the Probabilistic Nature of Physical Phenomena at Atomic Scales, described in Quantum Mechanics “.
The main objective of a statistical research project is to investigate causality with an aim of drawing a conclusion on the effect of changes in values of independent variables (predictors) on dependent variables(response). There are two major types of causal statistics, namely:
- Experimental studies
- Observational studies
In either of the above-mentioned studies, the effect of the difference of predictor on the behavior of the response is observed. The difference between the two depends on the way the study is actually conducted. Both the studies can be very effective. In case you need a more detailed and elaborate explanation, then visit our free statistics and theory resources.