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what is “population” and “sample” in statistics?

A population is a group of phenomena that have something in mon. The term often refers to a group of people

as in the following examples: All registered voters in Crawford County All members of the International Machinists Union All Americ who played golf at least once in the past year But populations can refer to things as well as people: All widgets produced last Tuesday by the Acme Widget Company All daily maximum temperatures in July for major U.S. cities All basal ganglia cells from a particular rhesus monkey Often

researchers want to know things about populations but don't have data for every person or thing in the population. If a pany's customer service division wanted to learn whether its customers were satisfied

it would not be practical (or perhaps even possible) to contact every individual who purchased a product. Instead

the pany might select a sample of the population. A sample is a *** aller group of members of a population selected to represent the population. In order to use statistics to learn things about the population

the sample must be random. A random sample is one in which every member of a population has an equal chance to be selected. A parameter is a characteristic of a population. A statistic is a characteristic of a sample. Inferential statistics enables you to make an educated guess about a population parameter based on a statistic puted from a sample randomly drawn from that population. Simple explanation

Population is a large number (eg. more than 100 data) and statistical data

The data reflected by population are usually under normal distribution. sample is a system Detailed statistical data (eg. less than 10 data). The reflected data will not be a normal distribution curve. If you use normal distribution to estimate sample data

, it will not be too accurate~ so There will be another formula for sample statistics.

Reference: cliffsnotes/WileyCDA/CliffsReviewTopic/Populations-and-Samples.topicArticleId-25951

articleId-25920

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