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sampling distribution
collection of sample statistics (results from many samples of the same size
Higher n = …
less variability
population
all subjects under study EX: ALL REESE’S PIECES
sample
subset/subgroup of the population, relative to sample size
EX: 25 REESE’S PIECES
parameter of interest
characteristics of the population we want to know
p = proportion of orange
sample statistic
characteristic of sample
How to generate a random sample
Randbin (input features of data set)
Graphs for sampling distribution
y axis= # of samples (INCLUDE N=SAMPLE SIZE)
x axis= proportion of (what we are looking for)
up
true proportion/mean
standard deviation
-/pq/n
1:SRS
unbiased sampling method: representative of population
Independence of sample
If n is no more than 10% of the entire population, it is reasonable to assume independence of sampling (close enough to selection w/ replacement)
DONE SO WE CAN USE SD FORMULA
Normality/Sample size large enough
np >-10
nq>-10
the sample size is large enough to assume normality or normal distribution (at least 10 successes or failures for sound conclusions)
FOR STEPS,
write whether you have to assume or not BUT comment on it
To cut standard deviation by 1/3
9
STEPS:
mult 1/3
consider sqrt
1/9
consider ^-1
9
OR"
put in sqrt with a square attached
what calc function to use
normcdf