Week 4 Flashcards

1
Q

What is a point estimate?

A

Single value estimate (eg. Max temp. Tomorrow will be 15degrees)

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2
Q

What is an interval estimate?

A

Range of values (eg. Max temp. Tomorrow will be between 13 and 17 degrees)

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3
Q

What is a confidence interval?

A

Point estimate +- margin of error

Xbar +- zσ/n^0.5

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4
Q

How to do a confidence interval if σ is unknown and n is less than 100?

A

Use s to estimate σ, then use t-distribution:

Xbar +- ts/n^0.5

Use n-1 DofF

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5
Q

6 characteristics of t-distribution?

A

Continuous, symmetrical about mean, mean=0, bell shaped, standard deviations differ according to n, family of distributions

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6
Q

What happens as n increases for a t distribution?

A

The flatter, more spread out distribution approaches normal distribution as n increases

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7
Q

2 benefits of large samples?

A

Reduce biasedness

Increase efficiency

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8
Q

What size sample is statistically reliable?

A

> 100

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9
Q

Why do you need a lower α value for t-distribution when n is small?

A

Because he rails are thicker when n is small

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10
Q

3 ways to get a large sample?

A

Time-series method (1 item studied over time)
Cross-section method (many items studied at one point in time)
Panel data method (many individuals studied over time) observations = NxT

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11
Q

How to do a confidence interval if σ is unknown and n is greater than 100?

A

Xbar +- zs/n^0.5

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