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Duplicate of Sampling Distributions Flashcards | StudBud

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Duplicate of Sampling Distributions

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Questions 9

Answers

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