Sampling Distributions
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Objective
I can describe how the mean of a sampling distribution, the corresponding population mean, and the population proportion are related.
Part 1 of 3
Warm-up video
Unknown Channel · 5:00
We don't generate video — this one is by Unknown Channel on YouTube. The practice questions and exit ticket below were drafted by AI for this objective, and every question is editable in the teacher guide.
Part 2 of 3
Practice
6 questions
Define "sampling distribution" in your own words, and explain what it represents.
Explain the difference between a population parameter and a sample statistic. Give an example of each.
Part 3 of 3
Exit ticket
Quick comprehension check
“A population has a mean of 100. If you take many random samples from this population and calculate the mean of each sample, what would you expect the mean of all these sample means to be close to? The average age of all students at a large university is 22 years. If you repeatedly take random samples of students and calculate the average age for each sample, what value would the mean of the sampling distribution of these averages be closest to? A company produces light bulbs with an average lifespan of 800 hours. If you take many random samples of these light bulbs and calculate the average lifespan for each sample, what value would you expect the mean of all of these sample means to be near?”
Sample answer included in the free materials
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