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| | Notice that a **normal** **distribution** may come with very different dimensions (tall and skinny, short and wide), but the characteristics mentioned above hold in all cases (the high point, i.e., the most frequent value, is always in the centre, and the two sides of the curve are perfectly symmetrical). |

| | The **normal** curve or the **normal** **distribution** is an extremely important statistical concept, as important in many areas of enquiry as the right-angle triangle is in Euclidean geometry, and for the remainder of our short study of statistics we shall be dealing only with this frequency **distribution**. |

| | **Normal** **distributions** are particularly important for a number of reasons (as we shall see), not the least of which is that many of the important characteristics we wish to study (including all inherited characteristics) are **normally** **distributed**. |

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