Summary
This chapter covered a lot of information, with a heavy focus on calculations. Just a reminder – while we have spent a fair amount of time learning about these calculations, there will only be a few of these questions on the test. Don’t panic, you can get a couple of these wrong and still pass the test if you do well on the other sections.
Distributions show the shape of your data and can tell you a lot about how it is distributed. Common distributions include normal, uniform, Poisson, exponential, Bernoulli, and binomial. Skew is how your data is distorted left or right (negative skew or positive skew). Kurtosis is how your data is distorted up or down (leptokurtic or platykurtic).
Measures of central tendency summarize your data with a single metric. Common forms include the mean, median, and mode. Each measure is best used on specific types of data.
Measures of dispersion include simpler methods such as range and quartiles, as well as slightly more...
