From the course: Simple Statistics for User Experience Projects
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Different types of data
From the course: Simple Statistics for User Experience Projects
Different types of data
- [Instructor] Numbers don't always behave in the same way, which means we have to know what type of numbers we're working with before we can work out what statistics to use to analyze them. Sometimes numbers are just used as labels for the buckets we're putting our data into. Say I've collected information on my participants' locations using the US zip codes. Those numbers range from 10000, which is located in New York on the east coast, through to 99950, which is in Ketchikan, Alaska on the west coast. Each zip code describes a location, and I can say how many participants come from each zip code, but I can't really do any math with zip code numbers, because they're just labels for my data. Adding two zip codes together doesn't give me a new zip code. Averaging out 10,000 and 99,950, gives me 54,975, which is somewhere in the Midwest, but that's not meaningful in any way. What you're really saying is that the average of…
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