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e explain the central limit theorem and its importance; Flashcards Preview
L1 10 Sampling and Estimation
> e explain the central limit theorem and its importance; > Flashcards
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e explain the central limit theorem and its importance;
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L1 10 Sampling and Estimation
Class (14):
Describe Issues Regarding Selection Of The Appropriate Sample Size
A,B
Focus
A Define Simple Random Sampling And A Sampling Distribution;
B Explain Sampling Error;
C Distinguish Between Simple Random And Stratified Random Sampling;
D Distinguish Between Time Series And Cross Sectional Data;
E Explain The Central Limit Theorem And Its Importance;
F Calculate And Interpret The Standard Error Of The Sample Mean;
G Identify And Describe Desirable Properties Of An Estimator;
H Distinguish Between A Point Estimate And A Confidence Interval Estimate Of A Population Parameter;
I Describe Properties Of Student’s T Distribution And Calculate And Interpret Its Degrees Of Freedom;
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;
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.