Seventy-five students randomly selected from the junior class at a high school were given a survey asking how much time they spent studying for a math test. Assume the population is normally distributed. The population is The sample is.

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24-03-2022
Mathematics

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Seventy-five students randomly selected from the junior class at a high school were given a survey asking how much time they spent studying for a math test. Assume the population is normally distributed. The population is The sample is.

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astha8579 astha8579 · Answer 1 · 2022-03-31T08:03:12+02:00

Population is like superset of sample. The population and sample for this case are:

Population is: The junior class' students of the considered high school
Sample is: Those 75 randomly selected students.

What is the difference between population and sample?

The difference between population and sample is that sample is taken from the population.

Why do we do sampling?

We do sampling so that we don't have to work on entire population of items but only on that sample in a way that we can predict information about population.

Most of the times, it isn't possible in real world to work on entire populations. Samples come out for rescue by assumptions that they will have some properties of the population pertained in them.

Thus, the sample should be taken out such that it includes data of the population as much as it can in unbiased way so as to imitate population.

For this case, we have:

75 students were randomly selected from the junior class at a high school.

Since 75 students were selected from junior class, thus:

the population was: The junior class' students of that high school
and, the sample was: Those 75 randomly selected students.

Learn more about sampling here:

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