**Statistics** is a **Mathematical Science** pertaining to the** Collection, Analysis, Interpretation **or **Explanation** and **Presentation of Data**. It also provides tools for **Prediction** and **Forecasting** based on data. It is applicable to a wide variety of** Academic Disciplines**, from the Natural and **Social Sciences** to the **Humanities, Government and Business**.

"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". ** Reference:Wikipedia

A common goal of a **Statistical** **Research Project** is to **Investigating Causality** and in particular to draw a **Conclusion** on the effect of changes in the values of **Predictors** or **Independent Variables** on **Dependent Variables** or response. There are two major types of **Causal Statistical Studies**: **Experimental Studies** and **Observational Studies**. In both types of **Studies**, the effect of differences of an **Independent Variable** (or Variables) on the** Behavior** of the **Dependent Variable** are **Observed**. The difference between the two types lies in how the study is actually conducted. Each can be very effective. For more detailed **Explanation** please explore our Free **Statistics** and **Probability Theory Resources**.

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