Like all specialist areas, statistics has developed its own language. Two commonly confused terms are variable and parameter; here we explain and contrast them. A statistic would be the mean height of 50 of these dogs. Parameter vs Statistics . Statistics abounds in such terms, including normal, random, variance, significant, etc. We will consider a study of high school seniors in the United States. Difference Between Statistic and Parameter Last updated on September 1, 2017 by Surbhi S In statistics vocabulary, we often deal with the terms parameter and statistic, which play a vital role in the determination of the sample size. A parameter is a fixed measure describing the whole population (population being a group of people, things, animals, phenomena that share common characteristics.) What is a Parameter in Statistics: Accuracy. That’s because ALL we deal with is statistics! A statistic is a characteristic of a sample, a portion of the target population. Parameter is a statistical consulting firm located in Ann Arbor, Michigan. A parameter of this population is the standard deviation of grade point averages of all high school seniors. A parameter of this population would be the mean height of all dogs in the city. When you see just “mean,” that’s usually a statistic. We provide statistical and data management services to researchers, businesses and individuals. Can you tell the difference between statistics and parameters now? Tip: In statistics, the word parameter rarely pops up. As we have noted before,1 much confusion may arise when a word in common use is also given a technical meaning. You might see something like “population mean.” That makes it more obvious it’s about the whole parameter. Parameter provides research services from study design to manuscript writing, and everything (small and large) in between.
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