Statistics Part 2

Von David Spade, PhD

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Statistics is the idea that we can glean useful insights from large datasets, such as of objects or events, by studying the properties and characteristics of a smaller subset of similar objects or events (a sample). In many cases, gathering comprehensive data about an entire population is too costly, difficult, or flat-out impossible, so statisticians start with a sample that can be conveniently or affordably observed. To analyze such data, certain tools are needed. This course describes additional statistical concepts that are useful for working with more-complex data and reaching more-interesting conclusions with your analysis (e.g., confidence intervals, comparing proportions and means, analyzing categorical data, and hypothesis testing).