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l1 10 sampling and estimation

This class was created by Brainscape user Steven Popovic. Visit their profile to learn more about the creator.

By: Steven Popovic
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Decks in this class (14)

Describe issues regarding selection of the appropriate sample size
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1  cards
a,b
Define Random Sampling and Sampling Distribution
3  cards
Focus
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6  cards
a define simple random sampling and a sampling distribution;
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0  cards
b explain sampling error;
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0  cards
c distinguish between simple random and stratified random sampling;
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0  cards
d distinguish between time-series and cross-sectional data;
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0  cards
e explain the central limit theorem and its importance;
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0  cards
f calculate and interpret the standard error of the sample mean;
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0  cards
g identify and describe desirable properties of an estimator;
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0  cards
h distinguish between a point estimate and a confidence interval estimate of a population parameter;
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0  cards
i describe properties of Student’s t-distribution and calculate and interpret its degrees of freedom;
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0  cards
j calculate and interpret a confidence interval for a population mean, given a normal distribution with 1) a known population variance, 2) an unknown population variance, or 3) an unknown variance and a large sample size;
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0  cards
k describe the issues regarding selection of the appropriate sample size, data-mining bias, sample selection bias, survivorship bias, look-ahead bias, and time-period bias.
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0  cards

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l1 10 sampling and estimation

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