MyLab Statistics with Pearson eText -- Standalone Access Card -- for Elementary Statistics - 13th Edition - by Mario F. Triola - ISBN 9780134748535
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MyLab Statistics with Pearson eText -- ...
13th Edition
Mario F. Triola
Publisher: PEARSON
ISBN: 9780134748535

Solutions for MyLab Statistics with Pearson eText -- Standalone Access Card -- for Elementary Statistics

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Chapter 3.1 - Measures Of CenterChapter 3.2 - Measures Of VariationChapter 3.3 - Measures Of Relative Standing And BoxplotsChapter 4 - ProbabilityChapter 4.1 - Basic Concepts Of ProbabilityChapter 4.2 - Addition Rule And Multiplication RuleChapter 4.3 - Complements, Conditional Probability, And Bayes' TheoremChapter 4.4 - Counting Probabilities Through Simulations (download only)Chapter 5 - Discrete Probability DistributionsChapter 5.1 - Probability DistributionsChapter 5.2 - Binomial Probability DistributionsChapter 5.3 - Poisson Probability DistributionsChapter 6 - Normal Probability DistributionsChapter 6.1 - The Standard Normal DistributionChapter 6.2 - Real Applications Of Normal DistributionsChapter 6.3 - Sampling Distributions And EstimatorsChapter 6.4 - The Central Limit TheoremChapter 6.5 - Assessing NormalityChapter 6.6 - Normal As Approximation To BinomialChapter 7 - Estimating Parameters And Determining Sample SizesChapter 7.1 - Estimating A Population ProportionChapter 7.2 - Estimating A Population MeanChapter 7.3 - Estimating A Population Standard Deviation Or VarianceChapter 7.4 - Bootstrapping: Us Ing Technology For EstimatesChapter 8 - Hypothesis TestingChapter 8.1 - Basics Of Hypothes Is TestingChapter 8.2 - Testing A Claim About A ProportionChapter 8.3 - Testing A Claim About A MeanChapter 8.4 - Testing A Claim About A Standard Deviation Or VarianceChapter 9 - Inferences From Two SamplesChapter 9.1 - Two ProportionsChapter 9.2 - Two Means: Independent SamplesChapter 9.3 - Two Dependent Samples (Matched Pairs)Chapter 9.4 - Two Variances Or Standard DeviationsChapter 10 - Correlation And RegressionChapter 10.1 - CorrelationChapter 10.2 - RegressionChapter 10.3 - Prediction Intervals And VariationChapter 10.4 - Multiple RegressionChapter 10.5 - Nonlinear RegressionChapter 11 - Goodnessoffit And Contingency TablesChapter 11.1 - Goodness Of FitChapter 11.2 - Contingency TablesChapter 12 - Analysis Of VarianceChapter 12.1 - Oneway AnovaChapter 12.2 - Two Way AnovaChapter 13 - Non Parametric TestsChapter 13.2 - Sign TestChapter 13.3 - Wilcoxon Signedranks Test For Matched PairsChapter 13.4 - Wilcoxon Ranksum Test For Two Independent SamplesChapter 13.5 - Kruskaiwallis Test For Three Or More SamplesChapter 13.6 - Rank CorrelationChapter 13.7 - Runs Test For RandomnessChapter 14 - Statistical Process ControlChapter 14.1 - Control Charts For Varialion And MeanChapter 14.2 - Control Charts For Attributes

Book Details

Real data brings statistics to life. From opinion polls and clinical trials to self-driving cars, statistics influences and shapes the world around us. Best-selling author Marty Triola is committed to keeping Elementary Statistics current - with an unprecedented amount of current real data - so that students of all majors understand the role of statistics in the world around them. In addition to an abundance of new data sets, examples, and exercises, the 13th Edition is designed to be even more effective for today's instructors with the addition of learning objectives as an organizational tool, larger data sets, and new topics and organization in line with advancements in statistics education. In addition, students will find more support in an all-new series of videos, more opportunities for practice, and improved support for statistical software.

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