Statistic Vs Parameter Examples. Figure 1Illustration of the relationship between samples and populations. A parameter is a number that describes some characteristic of a population. A parameter is a characteristic of a population. Suppose we study the population of dogs in Kansas City.
Suppose we study the population of dogs in Kansas City. A statistic would be the mean height of 50 of these dogs. Below are some more example of parameters and statistics. How It Is Conducted. It also discusses the difference between the population and sample. Also a populations characteristic is referred to as a parameter whereas a samples characteristic is called statistic.
How It Is Conducted.
It also discusses the difference between the population and sample. Parameters are referred as numbers that are used to summarize an entire population while statistics are the numbers that are used to summarize data deduced from a sample. Recall that a population represents every possible individual element that youre interested in measuring while a sample simply represents a portion of the population. The difference between statistic and parameter can be drawn clearly on the following grounds. If playback doesnt. A parameter is a fixed measure describing the whole population population being a group of people things animals animals phenomena that share common characteristics.