Answer:
Which of the following sampling techniques is the most likely to produce a random sample, representative sample of all students at a high school?
A. Choosing every 10th name on the student roster
B. Choosing every 10th student arriving in a 9th grade homeroom
C. Choosing the first 100 students who arrive at school
D. Asking students to call a phone number to answer survey questions
Step-by-step explanation:
A random sample is choosing the first 100 students who arrive at school.
There are five types of Sampling Techniques
Random sampling is similar to putting everyone's name into a bowl and drawing out random names. Each element has a chance of being called.
Systematic sampling is easier to do than random sampling. In systematic sampling, the list of elements is "counted off". That is, every kth element is taken.
Convenience sampling is very easy to do, but it is the least effective technique to use. In convenience sampling, data that is easily available is used.
Cluster sampling is accomplished by dividing the population into groups usually geographically. These groups are called clusters or blocks. The clusters are randomly selected, and each element in the selected clusters are used.
Stratified sampling also divides the population into groups called strata. However, this time it is by some characteristic, not geographically.
Option C , i.e. Choosing the first 100 students who arrive at school is an example of Random Sampling.
To know more about different types of Sampling Techniques
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