difference between a statistic and parameter
Identifying Parameters and Statistics. Parameters are numbers that summarize data for an entire population. Statistics are numbers that summarize data from a sample, i.e. some subset of the entire population. Problems (1) through (6) below each present a statistical study*. For each study, identify both the parameter and the statistic in the study. 1) A researcher wants to estimate the average height of women aged 20 years or older. From a simple random sample of 45 women, the researcher obtains a sample mean height of 63.9 inches.
There is a simple and straightforward way to remember what a parameter and statistic are measuring. All that we must do is look at the first letter of each word. A parameter measures something in a population, and a statistic measures something in a sample. Examples of Parameters and Statistics. Below are some more example of parameters and statistics: 1  Suppose we study the population of dogs in Kansas City. A parameter of this population would be the mean height of all dogs in the city. 2  We will consider a study of high school seniors in the United States.