Understanding Population Parameters | Key Concepts in Statistics

Population Parameter

In statistics, a population parameter refers to a characteristic or feature of a population that is of interest to researchers

In statistics, a population parameter refers to a characteristic or feature of a population that is of interest to researchers. It represents a numerical measure that summarizes a specific attribute of the entire population under study.

For example, if we are interested in studying the average height of all adults in a city, the population parameter would be the mean height of the entire adult population of that city.

Population parameters are used to make inferences and draw conclusions about a population based on data collected from a sample. Since it is often impractical or impossible to study an entire population, researchers typically select a random sample and collect data from that sample to estimate or make predictions about the population parameters.

Common population parameters include measures of central tendency such as the mean, median, and mode, as well as measures of dispersion or variability such as the standard deviation or variance.

It is important to note that population parameters are fixed and unknown values that describe the population as a whole. In contrast, sample statistics are values calculated from the data collected in a sample, which are used to estimate the population parameters.

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