Understanding Sample Median as an Estimator

Understanding Sample Median as an Estimator

Assessment

Interactive Video

Mathematics, Science

9th - 12th Grade

Hard

Created by

Sophia Harris

Used 1+ times

FREE Resource

Alejandro conducted an experiment to determine if the sample median is an unbiased estimator of the population median. He used 33 ping pong balls numbered 0 to 32, repeatedly taking random samples of five balls, calculating their median, and plotting the results. After 50 trials, he analyzed the dot plot to approximate the sampling distribution. By comparing the distribution to the true population median, he concluded that the sample median appears to be an unbiased estimator, as the distribution was not skewed significantly above or below the true median.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was Alejandro curious about in his experiment?

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 QUESTION

30 sec • 1 pt

How many ping pong balls did Alejandro use in his experiment?

50

32

33

16

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the size of each sample Alejandro took?

15 balls

10 balls

5 balls

3 balls

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many trials did Alejandro conduct in his experiment?

10

50

20

100

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does each dot in the dot plot represent?

A sample range

A sample median

A sample mode

A sample mean

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the dot plot in Alejandro's experiment?

To show the distribution of sample ranges

To show the distribution of sample modes

To show the distribution of sample medians

To show the distribution of sample means

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What would indicate a biased estimator in the sampling distribution?

A distribution skewed to one side

A distribution with equal peaks

A perfectly symmetrical distribution

A distribution with no variation

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