{"id":9310,"date":"2023-01-10T07:34:40","date_gmt":"2023-01-10T06:34:40","guid":{"rendered":"https:\/\/www.difference101.com\/?p=9310"},"modified":"2023-01-10T07:34:48","modified_gmt":"2023-01-10T06:34:48","slug":"parameter-vs-statistic","status":"publish","type":"post","link":"https:\/\/www.difference101.com\/parameter-vs-statistic\/","title":{"rendered":"Parameter vs. Statistic: What\u2019sThe Difference Between Parameter And Statistic?"},"content":{"rendered":"\n

Parameter vs. Statistic<\/strong>: In statistics vocabulary, we often hear of these terms, parameter and statistic, which both play an important role in determining the sample size. These two terms are often confused as people think they are the same. The main difference between parameter and statistic is that statistics is a summary of a small group known as the population, while the parameter is drawn from the measurement of the unit present within the population.<\/p>\n\n\n\n

Let’s take a closer look at Statistic versus. Parameter<\/strong><\/p>\n\n\n\n

Numerical Value<\/strong><\/td>The numerical value of a statistic is variable and known, while a parameter is fixed and unknown<\/td><\/tr>
Role<\/strong><\/td>Both play an important role in the determination of sample size<\/td><\/tr>
Distribution<\/strong><\/td>Only statistic have distribution<\/td><\/tr>
Drawn From<\/strong><\/td>A parameter is drawn from measurements of units, while a statistic is from elements measurement<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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Table of Contents<\/p>\n