1) An underlying principle of statistical inference is that one uses sample statistics to learn something about population parameters. Go to the web and find an example where someone has tried to use a sample to make inference about a population. Write a short paragraph describing the example and clearly identify the sample, population, statistic, and parameter in your example. Was it a probability sample or a convenience sample? Be as specific as possible, and do not use an example that we have discussed in class.

Question

Mathematics

Bryson

26 May, 01:18

1) An underlying principle of statistical inference is that one uses sample statistics to learn something about population parameters. Go to the web and find an example where someone has tried to use a sample to make inference about a population. Write a short paragraph describing the example and clearly identify the sample, population, statistic, and parameter in your example. Was it a probability sample or a convenience sample? Be as specific as possible, and do not use an example that we have discussed in class.

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Deborah Harmon · Answer 1

Average of amount of time students spend trying to find an eatery spot on campus.

The sample would be a pool of 100 students to survey from.

Population would be all the students attending Harvard university.

Statistic would be the average amount of time spend looking for eatery spot in campus.

The parameter would be the mean used to find the average amount of time spent looking for eatery spot in campus.

It was a convenient sample.

Step-by-step explanation:

A population is the entire pool from which a statistical sample is drawn. In this case our population is the entire students that attend Harvard University.

A sample is usually drawn from a population. In this case, the 100 students that were drawn from the population is the sample.

The sample was a convenient sample as the sample can be easily drawn from the population population, it doesn't depend on any probability.