Match the scenario with its distribution type. Group of answer choices Sammy takes a sample of 200 students at her college in an attempt to estimate the average time students spend studying at her university. She plots her data using a histogram, the histogram shows what type of distribution? Phil wants to estimate the average driving time to work for individuals in Corvallis, Oregon. He takes a simple random sample of 100 individuals and records their drive time. Phil knows that a different sample will yield a different sample average. Suppose Phil was able to repeatedly sample a different group of Corvallis residents until he obtained every combination of 100 residents. If he plots the sample means from each sample this distribution will represent which type of distribution? An instructor wants see the scores of her entire class after the midterm. The distribution of scores represents what type of distribution?

Question

Ruben Duarte

Mathematics

1 February, 07:14

Match the scenario with its distribution type. Group of answer choices Sammy takes a sample of 200 students at her college in an attempt to estimate the average time students spend studying at her university. She plots her data using a histogram, the histogram shows what type of distribution? Phil wants to estimate the average driving time to work for individuals in Corvallis, Oregon. He takes a simple random sample of 100 individuals and records their drive time. Phil knows that a different sample will yield a different sample average. Suppose Phil was able to repeatedly sample a different group of Corvallis residents until he obtained every combination of 100 residents. If he plots the sample means from each sample this distribution will represent which type of distribution? An instructor wants see the scores of her entire class after the midterm. The distribution of scores represents what type of distribution?

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Aydan Walters · Answer 1

Scenario 1: Sample distribution Scenario 2: Sampling distribtuion Scenario 3: Population distribution

Step-by-step explanation:

Scenarios are: Sample Distribution, sampling distribution, Population distribution

sample distribution: A sample distribution contains the data of individuals of sample collected from a population.

Sampling distribution: distribution of multiple sample statistics

Population distribution: Statistics of entire population without drawing sny sample

In scenario 1, only one saple is taken from a population and that sample is plotted

In Scenario 2, multiple samples are taken from a population and means of each sample is plotted

In Scenario 3, scores of entire population is considered.