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
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?
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.