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Sampling Distributions Flashcards | StudBud

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Sampling Distributions

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Questions 10

Answers

1
What kind of bias and variability does this graph have?
High bias & high variability
Low bias & low variability
High variability & low bias
Low variability & high bias
2
A parameter is a...
number that describes the population
a mean
number that describes a sample
a random sample
3
The Central Limit Theorem allows us to use normal probability to answer questions about..
standard deviations
sample means
sample proportions
sample distributions
4
If a sample is normally distributed than the sample size..
never matters
always matters
sometimes matters
does not matter
5
Large samples give.
larger spread than small samples
small spread
smaller spread than small samples
large spread
6
If the conditions for np≥1 and n(p-1)≥10 are met..
the sample is approximately normal
the sample is not normal
the sample is skewed left
the sample is biased
7
What 4 things describe sampling distributions?
sample, standard deviation, mean, spread
center, shape, spread, and outliers
center, shape, mean, and standard deviation
shape, outliers, spread, and sample
8
How large would a sample have to be to cut the standard deviation in half?
5x as large
3x as large
2x as large
4x as large
9
A statistic is unbiased if..
the statistic has variability
mean of sampling distribution NOT = to true parameter value
mean of sampling distribution = to true parameter value
mean of sampling distribution = to sample value
10
We usually want statistics with..
low bias and low variability
high bias and high variability
low bias and high variability
high bias and low variability