Chapter 10 - Sampling Distributions and Confidence Intervals for Proportions Flashcards

1
Q

What is sampling error or sampling variability?

A

The variation amongst samples

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2
Q

Formula for standard deviation of sample proportion

A

square root of p x q / n

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3
Q

What is the independence assumption

A

the sampled values must be independent of each other. One success can not depend on the outcome of the subsequent trial.

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4
Q

What is the sample size assumption?

A

The sample size (n) must be large enough.

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5
Q

Randomization condition?

A

The subjects in the data needs to be completely randomized

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6
Q

What is the 10 percent condition?

A

if subjects in the sample you are using are not being replaced after chosen then the sample size should not be larger than 10 percent of population

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7
Q

Success and failure condition?

A

The number of successes and failures must be at least 10

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8
Q

What is margin of error?

A

The distance from the mean or number of standard errors (standard deviation) (Total distance)

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9
Q

WHat is critical value?

A

The number of standard errors we must stretch out on either side of the mean

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10
Q

What is the formula for margin of error?

A

critical value x standard error

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