Estimators and Estimates(Udemy Statistics for Data Science and Business Analysis) Flashcards

1
Q

How are confidence intervals and point estimates related

A

Point estimates are located exactly in the center of confidence intervals

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2
Q

Are confidence intervals or point estimators preferred when making inferences?

A

Confidence intervals are preferred when making inferences

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3
Q

What is an unbiased estimator?

A

An unbiased estimator has an expected value equal to the population parameter

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4
Q

What is the most efficient estimator?

A

The most efficient estimator is the unbiased estimator with the smallest variance

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5
Q

What does a 95% CI mean?

A

That there is only a 5% chance that the population parameter is outside the range

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6
Q

What is the difference between a normal distribution and a student’s T Distribution?

A

A student’s T distribution normally has fatter tails

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7
Q

When do you use a T Table?

A

When there are few observations, typically fewer than 50, and when population variance is unknown

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8
Q

When do you use a z statistic vs. a t statistic?

A

You use a T statistic when the population variance is unknown, a z statistic when it is unknown

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9
Q

Can we make predictions even when we do not know the population variance?

A

Yes, but they will be less accurate

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10
Q

How are margin of error and confidence interval related?

A

When you have a smaller margin of error, you have a narrower confidence interval

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11
Q

How do higher sample sizes effect margin of error?

A

They decrease it

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11
Q

What is the margin of error in statistics?

A

A margin of error tells you how many percentage points your results will differ from the real population value

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