What is the difference between a parameter and a statistic?A parameter is a numerical measurement describing data from a population. A statistic is a numerical measurement describing data from a sample.A parameter is a numerical measurement describing data from a population. A statistic is an aspect of an individual subject or object being measured. A parameter is a numerical measurement describing data from a sample. A statistic is a numerical measurement describing data from a population.A parameter is an aspect of an individual subject or object being measured. A statistic is a numerical measurement describing data from a sample.A parameter is a numerical measurement describing data from a sample. A statistic is an aspect of an individual subject or object being measured.A parameter is an aspect of an individual subject or object being measured. A statistic is a numerical measurement describing data from a population.
Question
What is the difference between a parameter and a statistic?A parameter is a numerical measurement describing data from a population. A statistic is a numerical measurement describing data from a sample.A parameter is a numerical measurement describing data from a population. A statistic is an aspect of an individual subject or object being measured. A parameter is a numerical measurement describing data from a sample. A statistic is a numerical measurement describing data from a population.A parameter is an aspect of an individual subject or object being measured. A statistic is a numerical measurement describing data from a sample.A parameter is a numerical measurement describing data from a sample. A statistic is an aspect of an individual subject or object being measured.A parameter is an aspect of an individual subject or object being measured. A statistic is a numerical measurement describing data from a population.
Solution
The difference between a parameter and a statistic lies in the data they describe. A parameter is a numerical measurement that describes data from a population. This means it represents the entire group that you're interested in studying. For example, the average height of all adults in a city.
On the other hand, a statistic is a numerical measurement that describes data from a sample. A sample is a subset of the population that is used to represent the population in a statistical analysis. For example, the average height of a group of adults selected randomly from the same city.
The other statements in the question are incorrect. A parameter and a statistic are both numerical measurements, not aspects of individual subjects or objects being measured. Also, a parameter describes data from a population, not a sample, and a statistic describes data from a sample, not a population.
Similar Questions
A parameter is a characteristic, like mean or median, that describes the population, while a statistic is a characteristic that describes a sample.
What is the difference between a parameter and a statistic?A parameter is derived from a sample, while a statistic is derived from a population.A parameter is always an average, while a statistic can be any measure.A parameter is derived from a population, while a statistic is derived from a sample.There is no difference; both terms can be used interchangeably
Which of the following statements best describes the relationship between a parameter and a statistic?Question 17Select one:a.A parameter has a sampling distribution with the statistic as its mean.b.A parameter has a sampling distribution used to determine values a statistic may have in repeated samples.c.A statistic is used to estimate a parameter.d.A parameter is used to estimate a statistic.
In the context of statistical inference, why is it necessary to distinguish between parameters and statistics when seeking information about a population?
When a statistic is used to estimate a parameter, it is referred to as an ''.
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