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Unformatted text preview: and standard deviation-Center and spread-Percentile Chapter 13: Normal Distribution-properties-percentiles-z scores-1, 2, and 3 standard deviation rule Chapter 14-15: two quantitative variables-scatterplots-correlation-least squares regression equation Chapter 17-18: Probability-Interpretation of probability-Probability models-Outcomes/events-Rules of probability model Chapter 19: Simulation-random number table properties-know how to simulate an experiment-Law of large numbers Chapter 20: Expected values-interpretation-law of large numbers-simulating an expected value-calculating an exact expected value Chapter 21: Confidence intervals-population parameter-sample statistic-standard deviation of sample statistic-Law of large numbers-Central limit theorem-Construction and interpretation of c.i. for mean and proportion...
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This note was uploaded on 06/15/2011 for the course STAT 110 taught by Professor Johnson during the Fall '07 term at South Carolina.
- Fall '07