6. What is one of the distinctions between a population parameter and a sample statistic? a) A population parameter is only based on conceptual measurements, but a sample statistic is based on a combination of real and conceptual measurements. b) A sample statistic changes each time you try to measure it, but a population parameter remains fixed. c) A population parameter changes each time you try to measure it, but a sample statistic remains fixed across samples. d) The true value of a sample statistic can never be known but the true value of a population parameter can be known.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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6. What is one of the distinctions between a population parameter and a sample
statistic?
a) A population parameter is only based on conceptual measurements, but a sample
statistic is based on a combination of real and conceptual measurements.
b) A sample statistic changes each time you try to measure it, but a population parameter
remains fixed.
c) A population parameter changes each time you try to measure it, but a sample
statistic remains fixed across samples.
d) The true value of a sample statistic can never be known but the true value of a
population parameter can be known.
7. Which one of these statistics is unaffected by outliers?
Transcribed Image Text:6. What is one of the distinctions between a population parameter and a sample statistic? a) A population parameter is only based on conceptual measurements, but a sample statistic is based on a combination of real and conceptual measurements. b) A sample statistic changes each time you try to measure it, but a population parameter remains fixed. c) A population parameter changes each time you try to measure it, but a sample statistic remains fixed across samples. d) The true value of a sample statistic can never be known but the true value of a population parameter can be known. 7. Which one of these statistics is unaffected by outliers?
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