Sampling Distribution Flashcards
sampling variability
sample results change from sample to sample
parameter is a number that describes
the population
a statistic is a number that is
computed from the sample.
Statistic proportion
Statistic mean
Statistic standard deviation
population proportion
The variable of interest is…
categorical
population mean
the population of interest is…
quantitative
sample proportion is a …
random variable
To summarize the behavior of any random variable, we focus on three features of its distribution:
the center, the spread, and the shape.
sampling distribution of pˆ.
he distribution of the values of the sample proportions (pˆ) in repeated samples
the standard deviation of all sample proportions (pˆ)
The convention is to require both np and n(1 - p) to be at least
10.
pˆ has_______ with a mean of μpˆ=p and standard deviation σpˆ=p(1-p)n (and as long as np and n(1 - p) are at least 10).
a normal distribution
Parameter of a categorical variable
Parameter of a quantitative variable
Statistic of a categorical variable
Statistic of a quantitative variable
Center of the sampling distribution of a categorical variable
Center of the sampling distribution of a quantitiative variable
Spread of the sampling distribution of a categorical variable
Spread of the sampling distribution of a a Quantitatitve Variable
Shape of the sampling distribution of a Categorical Variable
Shape of the Sampling distribution of a Quantitative Variable
If n is greater than or equal to 30, the shape of the sampling distribution should be approximately normal.
