6.4 sampling distributions and estimators Flashcards

1
Q

what is a sampling distribution of a statistic?

A

the distribution of all values of the statistic when all possible samples of the same size “n” are taken from the same population

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2
Q

what is the sampling distribution of the sample mean?

A

the distribution of all possible sample means (or the distribution of the variable xbar) with all samples having the same sample size “n” taken from the same population

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3
Q

sample means _______ the value of the population mean

A

target

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4
Q

the distribution of the sample means tends to be

A

a normal distribution

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5
Q

what is the sampling distribution of the sample variance?

A

the distribution of all possible sample variances (or the distribution of the variable S^2) with all samples having the same sample size “n” taken from the same population

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6
Q

do the sample variances target the value of the population variance?

A

yes

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7
Q

the distribution of sample variances tends to be

A

skewed to the right

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8
Q

what is the sampling distribution of the sample proportion?

A

the distribution of all possible sample means (or the distribution of the variable p-hat) with all samples having the same sample size “n” taken from the same population

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9
Q

the mean of the sample proportion is equal to

A

the population proportion

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10
Q

does the distribution of sample proportions tend to approximate a standard distribution?

A

yes

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11
Q

what is an estimator?

A

an estimator is a statistic used to infer the value of a population parameter

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12
Q

what is an unbiased estimator?

A

an estimator that targets the value of the population parameter (the sampling distribution has a mean that is equal to the population value of the corresponding parameter)

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13
Q

what are the unbiased estimators?

A

xbar (mean)
sample variance (S^2)
proportion (p-hat)

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14
Q

what are the biased estimators?

A
median
range
standard deviation (s)
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