Population and Sample in Statistical Problem-Solving

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In the context of the given text, what is the population?

The set of salaries of all employees in the company

What is the parameter in the given context?

The average salary of all employees in the company

What is the statistic in the given context?

The average salary of the 100 employees in the sample

Which sampling method is described as an example of simple random sampling?

Selecting 100 employees at random from the entire list of employees

Which sampling method is described as an example of stratified random sampling?

Dividing the employees into different departments and selecting a random sample of 10 employees from each department

Which sampling method is described as an example of cluster sampling?

Dividing the employees into different teams and selecting a random sample of 5 teams

This quiz provides examples of population, sample, parameter, statistic, and different sampling methods in the context of statistical problem-solving. Learn how to differentiate between population and sample, and understand the importance of accurate sampling methods for estimating values.

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