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Textbook Notes for E Moliski

UT-AUSTINSTA 309E MoliskiFall

STA 309 Chapter Notes - Chapter 7: Probability Distribution, Probability Plot, Unimodality

OC13011332 Page
29 Oct 2017
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7. 1 the standard deviation as a ruler: z-score = (x mean) / standard deviation. 65 95 99. 7 rule (in a unimodal, symmetric distribution: 68% of values
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UT-AUSTINSTA 309E MoliskiFall

STA 309 Chapter Notes - Chapter 8: Sampling Frame, Sampling Bias, Response Bias

OC13011333 Page
29 Oct 2017
0
The sample size is what matters: size of sample determines what we can conclude from the data regardless of population size, size of population doesn"t
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UT-AUSTINSTA 309E MoliskiFall

STA 309 Chapter Notes - Chapter 6: Random Variable, Standard Deviation, Bernoulli Trial

OC13011334 Page
29 Oct 2017
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6. 1 expected value of a random variable: random variable value is based off the outcome of a random event. Discrete random variable: all outcomes can
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UT-AUSTINSTA 309E MoliskiFall

STA 309 Chapter Notes - Chapter 5: Sample Space, Mutual Exclusivity, Conditional Probability

OC13011333 Page
29 Oct 2017
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UT-AUSTINSTA 309E MoliskiFall

STA 309 Chapter Notes - Chapter 4: Scatter Plot

OC13011333 Page
29 Oct 2017
0
One quantitative variable measured against another quantitative variable. One must always ask if there is an association between two such variables. If
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