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A population consists of all the members of a group of interest. A sample is a subset of the population.
Random sample.
A population consists of all the members of a group of interest. Since it may be impractical to examine every member of a population, a sample — a subset of the population — is sometimes selected to represent the population. The sample can then be analyzed to draw conclusions about the entire population.
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Each employee in a company writes their name on a card and places it in a hat. The employees whose names are on the first two cards drawn each win a gift card. |
Here, the population consists of the employees who work in a company. The sample consists of the employees whose names are drawn from the hat. Samples can be classified into different categories.
| Name | Characteristic |
|---|---|
| Random Sample | Each member of the population has an equal chance of being selected. |
| Self-selected Sample | Members volunteer to be included in the sample. |
| Systematic Sample | Members are selected according to a specified interval from a random starting point. |
| Stratified Sample | The population is first divided into smaller groups that share a similar characteristic. Members are then randomly selected from each group. |
| Cluster Sample | The population is first divided into groups, called clusters. All of the members in one or more of the clusters are selected. |
| Convenience Sample | Members that are readily available or easy to reach are selected. |
In our situation, all employees have an equal chance of receiving a gift card. This means that we have a random sample.