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**THE EXCITING TALE OF STATISTICS**

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**Chapter 1**...........How do you describe the shape of a distribution

**Chapter 2**...........What are outliers

**Chapter 3**...........What is standard deviation a measure of

**Chapter 4.**..........What needs to be done to determine the shape of the distribution

**Chapter 5**...........What is the five-number summary used for

**Chapter 6**...........What are categorical variables

**Chapter 7**...........What is a right skewed distribution

CHAPTER 1

HOW DO YOU DESCRIBE THE SHAPE OF A DISTRIBUTION

**?**The

**shape of a distribution**is**described**by its number of peaks and by its possession of symmetry, its tendency to skew, or its uniformity. (**Distributions**that are skewed have more points plotted on one side of the graph than on the other.)The center is the median and/or mean of the

**data**. The spread is the range of the**data**. And, the**shape**describes the type of graph. The four ways to**describe shape**are whether it is symmetric, how many peaks it has, if it is skewed to the left or right, and whether it is uniform.CHAPTER 2

**WHAT ARE OUTLIERS?**

An

*outlier*is an observation that lies an abnormal distance from other values in a random sample from a population. In a sense, this definition leaves it up to the analyst (or a consensus process) to decide what will be considered abnormal. Before abnormal observations can be singled out, it is necessary to characterize normal observations.