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Textbook Notes for Migiwa Tanaka

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WLUEC285Migiwa TanakaFall

EC285 Chapter Notes -Squared Deviations From The Mean, Statistical Parameter, Standard Deviation

OC17027122 Page
4 Dec 2014
88
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WLUEC285Migiwa TanakaFall

EC285 Chapter Notes - Chapter 5: Unimodality, Variance, Squared Deviations From The Mean

Hoseok Yoo5 Page
8 Jan 2017
3
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WLUEC285Migiwa TanakaFall

EC285 Chapter Notes - Chapter 3: Sampling Frame, Sampling Error, Response Bias

Hoseok Yoo2 Page
8 Jan 2017
2
Population is the entire population and a sample is a smaller group of individuals. When a sample is biased, the summary characteristics of a sample di
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WLUEC285Migiwa TanakaFall

EC285 Chapter Notes - Chapter 6: Standard Deviation, Linear Regression, Scatter Plot

Hoseok Yoo6 Page
8 Jan 2017
3
Scatterplots tell us qualitative information about the relationship of two variables: Weak or strong relationship: if the scatterplot is in a single st
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WLUEC285Migiwa TanakaFall

EC285 Chapter Notes - Chapter 10: Central Limit Theorem, Standard Deviation, Categorical Variable

Hoseok Yoo4 Page
8 Jan 2017
2
Ec(cid:1006)85: ch. (cid:1005)(cid:1004) sa(cid:373)pli(cid:374)g distributio(cid:374)s p is the true proportion (probability) and (cid:1868) is the re
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WLUEC285Migiwa TanakaFall

EC285 Chapter Notes - Chapter 7: Randomness, Sample Space

Hoseok Yoo3 Page
8 Jan 2017
2
With random phenomena, we can"t predict the individual outcomes, but we can hope to understand characteristics of their long-run behavior. For any rand
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WLUEC285Migiwa TanakaFall

EC285 Chapter Notes - Chapter 9: Normal Distribution, Probability Plot, Probability Density Function

Hoseok Yoo3 Page
8 Jan 2017
2
Z-score reports the number of standard deviations away from the mean a value is. In a unimodal, symmetric distribution, about 68% of the values fall wi
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WLUEC285Migiwa TanakaFall

EC285 Chapter Notes - Chapter 11: Sampling Distribution, Confidence Interval

Hoseok Yoo4 Page
8 Jan 2017
3
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WLUEC285Migiwa TanakaFall

EC285 Chapter Notes - Chapter 12: Confidence Interval, Unimodality

Hoseok Yoo2 Page
8 Jan 2017
4
The student"s t-models form a family of related distributions that depend on a parameter known as degrees of freedom, df. Models are unimodal, symmetri
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WLUEC285Migiwa TanakaFall

EC285 Chapter Notes - Chapter 8: Bernoulli Trial, Binomial Distribution, Squared Deviations From The Mean

Hoseok Yoo4 Page
8 Jan 2017
1
Random variable is given its name because its value is based on the outcome of a random event. If all outcomes can be listed, it is called a discrete r
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