❓ Question 1:
What is the difference between a population and a sample in statistics?
1. A population is a subset of a sample.
2. A sample is a subset of a population.
3. A population is a larger group, while a sample is a smaller group.
4. A sample is a group that is more representative than a population.
✅ Correct Response: 2
Explanation: In statistics, a population is the entire group of individuals, objects, or events that we are interested in studying, while a sample is a smaller subset of the population that is selected for study. Samples are often used when it is not feasible or practical to study the entire population
https://yangx.top/DataScienceQ
What is the difference between a population and a sample in statistics?
1. A population is a subset of a sample.
2. A sample is a subset of a population.
3. A population is a larger group, while a sample is a smaller group.
4. A sample is a group that is more representative than a population.
✅ Correct Response:
Explanation: In statistics, a population is the entire group of individuals, objects, or events that we are interested in studying, while a sample is a smaller subset of the population that is selected for study. Samples are often used when it is not feasible or practical to study the entire population
https://yangx.top/DataScienceQ
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