
Statistics: Sampling Techniques
Authored by Harrison Lipsey
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25 questions
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1.
OPEN ENDED QUESTION
30 sec • 1 pt
Random samples
Evaluate responses using AI:
OFF
Answer explanation
are selected by using chance methods or random numbers.
2.
OPEN ENDED QUESTION
30 sec • 1 pt
ex random samples
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OFF
Answer explanation
Number each object in the population; Place the numbered card in a box and mix them; Select as many card as needed to form the sample.
3.
OPEN ENDED QUESTION
30 sec • 1 pt
Systematic samples
Evaluate responses using AI:
OFF
Answer explanation
Numbering each object in the population; Selecting every Kth value.
4.
OPEN ENDED QUESTION
30 sec • 1 pt
ex Systematic samples
Evaluate responses using AI:
OFF
Answer explanation
suppose there are 2000 students in an elementary school and a sample of 50 students is needed. Solution: give a number to each student. then find k=2000/50=40 and every 40th student would be selected. Choose randomly the 1st student from 1 through 40.
5.
OPEN ENDED QUESTION
30 sec • 1 pt
Stratified samples
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OFF
Answer explanation
are selected by Divide the population into groups (X { typically: race, age, gender, religion, education}) Obtain a random or systematic sample of each X; Put together the samples obtained in the previous step for your ________.
6.
OPEN ENDED QUESTION
30 sec • 1 pt
ex stratified samples
Evaluate responses using AI:
OFF
Answer explanation
There are 500 students in a private school in which 350 are male and 150 are female. We need 11 students from each. Solution males k=350/11=31.81 approximately 31 round down. Then randomly choose 1 from 31. then count from that number 31 times till you get 11 students. same goes for females.
7.
OPEN ENDED QUESTION
30 sec • 1 pt
Cluster samples
Evaluate responses using AI:
OFF
Answer explanation
are selected by Divide the population into sections "often geographical"; Obtain a random or systematic sample of each; Put together the samples obtained in the previous step for your ________.
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