Statistics Lesson 1.3

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Poll each member of the entire sampling frame

Census

A scientist chooses twenty people at random from each neighborhood.

Stratified Sampling

A statistics student chooses thirty members of the sampling frame at random from each zoning district.

Stratified Sampling

For budget purposes, a college president needs to know the average salary of instructors at their university.

Census

A random number generator is used to choose fifteen districts. Then a quality assurance analyst collects data from each person in these districts.

Cluster Sampling

A random number generator is used to choose fifty districts. Then a college student collects data from each person in these districts.

Cluster Sampling

A random number generator is used to choose fifty zip codes. Then a crime researcher collects data from each person in these zip codes.

Cluster Sampling

A pollster interviews the first fifty members to leave.

Convenience Sampling

A scientist interviews the last five attendees to leave.

Convenience Sampling

A college president randomly generates student identification numbers in order to conduct a survey about campus housing.

Simple Random Sampling

A college student selects five hundred student IDs from his campus using a random number generator to find the amount of student aid each receives.

Simple Random Sampling

A market researcher gathers data from fifty stores by assigning each store an ID and selecting IDs using a random number generator.

Simple Random Sampling

A pollster interviews fifty voters from a district by randomly selecting the addresses with a random number generator

Simple Random Sampling

A quality assurance analyst randomly selects the registration number of one hundred consumers to determine their satisfaction with a product.

Simple Random Sampling

A school administrator selects fifty students by randomly selecting names out of the list of all students enrolled.

Simple Random Sampling

A pollster chooses ten people at random from each neighborhood.

Stratified Sampling

A school administrator chooses thirty members of the sampling frame at random from each zoning district.

Stratified Sampling

A pollster interviews every fifteenth member from the entire sampling frame.

Systematic Sampling

A scientist chooses thirty members of the sampling frame at random from each class.

Stratified Sampling


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