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A parameter and statistic respectively are characteristics of which of the following?
  • a)
    Population and sample
  • b)
    Sample and population
  • c)
    Sample and sample
  • d)
    Population and population
Correct answer is option 'A'. Can you explain this answer?
Most Upvoted Answer
A parameter and statistic respectively are characteristics of which of...
Population and Sample
Parameters and statistics are characteristics of population and sample respectively. Let's understand the difference between a population and a sample:

Population:
- A population refers to the entire group that is being studied.
- It includes all individuals, items, or data points that meet certain criteria.
- It is usually large and may not always be feasible to study every individual in the population.

Sample:
- A sample is a subset of the population that is selected to represent the entire population.
- It is a smaller group that is chosen from the population for research purposes.
- The characteristics of the sample are used to make inferences about the population.

Parameters:
- Parameters are characteristics of a population.
- They are typically unknown and are estimated using statistics.
- For example, the mean and standard deviation of a population are parameters.

Statistics:
- Statistics are characteristics of a sample.
- They are numerical values calculated from the data of the sample.
- For example, the sample mean and sample standard deviation are statistics.
Therefore, parameters and statistics play a crucial role in inferential statistics, where we use information from a sample to make conclusions about a population.
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A parameter and statistic respectively are characteristics of which of the following?a)Population and sampleb)Sample and populationc)Sample and sampled)Population and populationCorrect answer is option 'A'. Can you explain this answer?
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