Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
13 Cards in this Set
- Front
- Back
sampling distribution
|
probability distribution of a sample statistic
|
|
relationships between population mean and mean of the sampling distribution of the sample mean
|
equal no matter what sample size
|
|
relationship between population variance and variance of the sampling distribution of the sample mean
|
variance of sampling distribution of the sample mean = population variance / n
|
|
relationship between population mean and mean of the sampling distribution of the sample mean
|
equal no matter what sample size
|
|
relationship between population standard deviation and standard deviation of the sampling distribution of the sample mean
|
standard deviation of the sampling distribution of the sample mean = population standard deviation / square root(n)
|
|
variance / standard deviation of the sampling distribution of the sample mean ________ as the sample size increases. and why?
|
decreases
values of sample mean for are getting closer to population mean as size increases |
|
standard error
|
standard deviation of the sampling distribution of a sample statistic
|
|
standard error of the sample mean
|
standard deviation of the sampling distribution of the sample mean
|
|
standard error of the sample variance
|
standard deviation of the sampling distribution of the sample variance
|
|
sampling distribution of a sample statistic depends on what 3 things
|
sample statistic of interest
population sample size |
|
if the population is normal, then the sampling distribution of the sample mean is...
|
normal
|
|
standard score
|
(value - mean)/standard deviation
|
|
central limit theorem
|
for any population distribution, for a large sample sample size (at least 30), the sampling distribution of the sample mean is normal
|