Question 462501: Match each Sampling Technique with the example given. 1. Stratified
2. Random
3. Cluster
4. Systematic
1 2 3 4 A. Every 5th item from a conveyer is measured for size
1 2 3 4 B. From the inventory of boxes of pens at Office Depot, one box of each color is chosen and every pen in the box is tested to see if they work.
1 2 3 4 C. In the parking lot cars are separated by color and all red cars and all yellow cars have their tire pressure tested.
1 2 3 4 D. To select who gets a bonus, a random number generator is used to select five names from a list of employees.
Answer by math-vortex(648)   (Show Source):
You can put this solution on YOUR website! Match each Sampling Technique with the example given.
1. Stratified
2. Random
3. Cluster
4. Systematic
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A. Every 5th item from a conveyer is measured for size
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This is systematic sampling. With systematic random sampling, we create a list of every member of the population. We randomly select some number k. Then, we select every kth element on the list.
population list: items in the order they appear on the conveyor belt
random number selected: 5
every kth element: every 5th element
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B. From the inventory of boxes of pens at Office Depot, one box of each color is chosen and every pen in the box is tested to see if they work.
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This is stratified sampling. With stratified sampling, the population is divided into groups, based on some characteristic. Then, within each group, a probability sample (often a simple random sample) is selected.
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C. In the parking lot cars are separated by color and all red cars and all yellow cars have their tire pressure tested.
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This is cluster sampling. With cluster sampling, every member of the population is assigned to one, and only one, group. A sample of clusters is chosen, using a probability method (often simple random sampling). Only individuals within sampled clusters are surveyed.
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In this problem, cars are clustered by color, and only cars in two clusters, red and yellow, are tested.
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Notice the difference between cluster and stratified sampling. With cluster sampling, the sample includes elements only from sampled clusters. With stratified sampling, the sample includes elements from every stratum.
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D. To select who gets a bonus, a random number generator is used to select five names from a list of employees.
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This is random sampling. Simple random sampling refers to any sampling method that has the following properties: The population consists of N objects.
The sample consists of n objects, and all possible samples of n objects are equally likely to occur.
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hope this helps!
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Ms.Figgy
math.in.the.vortex
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