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Fran would like to estimate the mean amount of time it takes people in her town to travel to work. The town's population is 150,000 and about 90,000 of those are working adults. Which statements are true? Select each correct answer. If she takes a random sample of the population of working adults in her town, the mean for that group is likely close to the mean for the entire group. The population of working adults is too large for using a sample to estimate the mean of the entire group. There is no way to infer the value of the mean. She must collect data for all 90,000 working adults and calculate the mean. A larger sample of working adults will provide a better estimate of the true mean than a smaller sample.

Answer :

Nathaniel2861401

Answer:  If she takes a random sample of the population of working adults in her town, the mean for that group is likely close to the mean for the entire group.

And

A larger sample of working adults will provide a better estimate of the true mean than a smaller sample.

Step-by-step explanation:

${teks-lihat-gambar} Nathaniel2861401
adioabiola

The correct statements are;

  • A larger sample of working adults will provides a better estimate of the true mean than a smaller sample.

  • If she takes a random sample of the population of working adults in her town, the mean for that group is likely close to the mean for the entire group.

Mean estimation by sample size selection

If the population size of a given series of data values is too high, it follows that;

The statistical measure of such given population can be evaluated more conveniently by sample selection.

On this note, selecting a sample provides a close estimate of the mean and the larger the sample size, the more accurate is the statistical measure.

Read more on mean estimation by sample selection;

https://brainly.com/question/20731891

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