samples and proportions Flashcards

1
Q

uses of standard error

A

estimate how theoretical sample proportions cluster around population proportion

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2
Q

what is the distribution of theoretical sample proportions affected by

A

sample size

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3
Q

the larger the sample the … the sample proportions cluster around the population proportion

A

closer

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4
Q

standard error of a mean

A

use the pop sd and sample size to calculate

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5
Q

standard error of a proportion

A

use pop proportion and sample size to calculate standard error

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6
Q

standard error equation for proportions

A

square root of pop proportion(1-pop proportion) / n

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7
Q

example of standard error for pop proportion

A

proportion = 0.39
sample size = 51
square root of
0.39(1-0.39) / 51
= 0.07

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8
Q

calculate z value using pop proportions

A

sample proportion = 0.63
pop proportion = 0.39
SE = 0.07
z = (0.63-0.39)/0.07
= 0.24/0.07
=3.43

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9
Q

z value calculation using proportions

A

observed sample prop - population prop) / SE

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10
Q

point estimate

A

estimation of population mean

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11
Q

what is a good estimate of population mean

A

sample mean

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12
Q

how can you be sure sample mean is a good estimate for pop mean

A

calculate and interval estimate (confidence interval) to give us greater confidence

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13
Q

confidence interval

A

an interval where we can say a certain level of confidence the value we are estimating lies between 2 values

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14
Q

conventional confidence interval levels

A

95% or 99%

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15
Q

confidence interval equation

A

95% or 99% (sample mean) +- z value x (sd / square root n)

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16
Q

confidence intervals with proportions (95%)

A

p+=( 1.96 * square root of (p(1-p) / n ))

99% uses 2.58

17
Q

when can you use the sample SD as an estimate of population SD

A

if data normally distributed
sample size greater than 30