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THE EXCITING TALE OF STATISTICS
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.
How can I describe the shape of a distribution?
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.
....hmm, most interesting
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