Understanding Sampling Distributions and Estimators
Interactive Video
•
Ethan Morris
•
Mathematics, Science
•
9th - 12th Grade
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2 plays
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Easy
05:56
10 questions
Show answers
1.
Multiple Choice
What was Alejandro trying to determine with his experiment involving ping-pong balls?
If the sample range is an unbiased estimator of the population range
If the sample mode is an unbiased estimator of the population mode
If the sample median is an unbiased estimator of the population median
If the sample mean is an unbiased estimator of the population mean
2.
Multiple Choice
How many trials did Alejandro conduct in his experiment?
10 trials
20 trials
50 trials
100 trials
3.
Multiple Choice
What is required for an estimator to be considered unbiased?
The sampling distribution should be skewed to the right
The sampling distribution should be skewed to the left
The sampling distribution should be evenly distributed around the true parameter
The sampling distribution should have a high variance
4.
Multiple Choice
What does a balanced sampling distribution indicate about an estimator?
The estimator is inaccurate
The estimator has high variability
The estimator is unbiased
The estimator is biased
5.
Multiple Choice
In the context of the video, what does it mean if a sampling distribution is consistently to the left of the true parameter?
The estimator is unbiased
The estimator is overestimating the true parameter
The estimator has high variability
The estimator is underestimating the true parameter
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