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What is one of the distinctions between a population parameter and a sample statistic? Group of...

What is one of the distinctions between a population parameter and a sample statistic?

Group of answer choices

1. The population parameter is random variable because it is unknown; the sample statistic is not a random variable because it can be calculated from data.

2. A population parameter is only based on conceptual measurements, but a sample statistic is based on a combination of real and conceptual measurements.

3. The true value of a sample statistic can never be known but the true value of a population parameter can be known.

4. A sample statistic changes each time you try to measure it, but a population parameter remains fixed.

5. A population parameter changes each time you try to measure it, but a sample statistic remains fixed across samples.

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Answer #1

the correct option be:-

A sample statistic changes each time you try to measure it, but a population parameter remains fixed.

[sample statistic:-

this is a characteristic of a sample, a part of target population.

population parameter:-

this is fixed, unknown numerical value, but the statistic is a known value and a variable that depends on the portion of the population. ]

***in case of doubt, comment below. And if u liked the solution, please like.

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