❓ 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
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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
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👍10
What is a z-score?
1. A standardized value that indicates the number of standard deviations an observation is from the mean.
2. The range between the highest and lowest values in a set of data.
3. A measure of the spread of a set of data.
4. A measure of central tendency of a set of data.
Explanation: In statistics, a z-score is a standardized value that indicates the number of standard deviations an observation is from the mean of a set of datIt is used to compare values from different normal distributions and to calculate probabilities.
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