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Lecture 05: Statistics, Estimators, and the Central Limit Theorem Lecture 05: Statistics, Estimators, and the Central Limit Theorem
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Parameters, Statistics, and Estimators
Independent and Identically Distributed Observations
Lumber: Population and Shipment Questions
A Small Discrete Population
(a) Values of Statistics for Each Sample
(b) Probabilities of Statistics
(c) Sampling Distributions
(d) Match the Histograms
(e) Center and Standard Error
(f) Bias
Combining Random Variables
Sample Totals and Means
Lumber Practice, Continued
Central Limit Theorem
Discrete Population (g)
Uniform Population Practice
Electricity Usage Practice
Sample Counts and Proportions
Vending Machine Practice
Anaconda Lengths: When a Normal Approximation Is Justified
Support for Reducing Underage Drinking: Instructor Example