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Duplicate of Sampling Distributions Flashcards | StudBud
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Duplicate of Sampling Distributions
Duplicate of Sampling Distributions
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1
A statistic is
unbiased
if..
mean of sampling distribution = to sample value
mean of sampling distribution NOT = to true parameter value
mean of sampling distribution = to true parameter value
the statistic has variability
2
If the conditions for np≥1 and n(p-1)≥10 are met..
the sample is biased
the sample is skewed left
the sample is not normal
the sample is approximately normal
3
If a population is normally distributed than the sample size..
does not matter
always matters
never matters
sometimes matters
4
We usually want statistics with..
high bias and high variability
high bias and low variability
low bias and high variability
low bias and low variability
5
In order to use the formula pictured...
Sample must be less than or equal to 10% of population
any of the above
A. n ≥ 30
B. The population distribution is approximately normal
6
Large samples give.
smaller spread than small samples
small spread
large spread
larger spread than small samples
7
A parameter is a...
a random sample
number that describes the population
a mean
number that describes a sample
8
What 4 things describe sampling distributions?
center, shape, spread, and outliers
sample, standard deviation, mean, spread
center, shape, mean, and standard deviation
shape, outliers, spread, and sample
9
The Central Limit Theorem allows us to use normal probability to answer questions about..
sample means
sample distributions
standard deviations
sample proportions