Quick Check 21.1 – Data 100, Summer 2020

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An estimator is... (select all that apply) *

A constant

A random variable

Dependent on the random sample we collect

Guaranteed to have a sampling distribution that is Normal

A function

Required

(Spring 2019 Final) The bias of an estimator TH (theta hat) for a parameter TS (theta star) is: *

The difference between TH and the value of TS for a particular sample.

The average difference between TH and TS computed for each element of the sample.

The average difference between TH and TS over all random samples from the population.

The difference between the expected value of TH and the value of TS for a particular sample.

(Spring 2019 Final) You estimate the maximum possible outcome (number of dots) of rolling a fair 6-sided die using the outcome of a single roll of the die (pretending you don’t already know the number of dots on the faces of the die). What is the bias of this estimator? *

-3.5

-2.5

-1.5

1.5

2.5

3.5

Other:

Why was the demo at the end of the lecture so impractical? Explain in a sentence. A correct answer will appear once you submit. *

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