samples and proportions Flashcards
uses of standard error
estimate how theoretical sample proportions cluster around population proportion
what is the distribution of theoretical sample proportions affected by
sample size
the larger the sample the … the sample proportions cluster around the population proportion
closer
standard error of a mean
use the pop sd and sample size to calculate
standard error of a proportion
use pop proportion and sample size to calculate standard error
standard error equation for proportions
square root of pop proportion(1-pop proportion) / n
example of standard error for pop proportion
proportion = 0.39
sample size = 51
square root of
0.39(1-0.39) / 51
= 0.07
calculate z value using pop proportions
sample proportion = 0.63
pop proportion = 0.39
SE = 0.07
z = (0.63-0.39)/0.07
= 0.24/0.07
=3.43
z value calculation using proportions
observed sample prop - population prop) / SE
point estimate
estimation of population mean
what is a good estimate of population mean
sample mean
how can you be sure sample mean is a good estimate for pop mean
calculate and interval estimate (confidence interval) to give us greater confidence
confidence interval
an interval where we can say a certain level of confidence the value we are estimating lies between 2 values
conventional confidence interval levels
95% or 99%
confidence interval equation
95% or 99% (sample mean) +- z value x (sd / square root n)