book

Statistics Workbook For Dummies with Online Practice, 2nd Edition

by Deborah J. Rumsey

April 2019

Beginner

336 pages

8h 23m

English

For Dummies

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About This BookFoolish AssumptionsIcons Used in This BookBeyond the BookWhere to Go from Here
Counting On the FrequencyRelating with PercentagesInterpreting Counts and Percents with CautionAnswers to Problems in Summarizing Categorical Data
Finding and Interpreting Measures of CenterFinding and Interpreting Measures of SpreadUsing Percentiles and the Interquartile RangeAnswers to Problems in Summarizing Quantitative Data
Making, Interpreting, and Evaluating Pie ChartsMaking, Interpreting, and Evaluating Bar GraphsAnswers to Problems in Organizing Categorical Data
Creating a HistogramMaking Sense of HistogramsStraightening Out Skewed DataSpotting a Misleading HistogramMaking Box PlotsInterpreting Box PlotsLooking at Line GraphsUnderstanding the Empirical RuleAnswers to Problems in Organizing Quantitative Data
Grasping the Rules of ProbabilityAvoiding Probability MisconceptionsMaking Predictions Using ProbabilityAnswers to Problems in Probability
Mastering the Normal DistributionFinding and Interpreting Standard (Z) ScoresKnowing Where You Stand with PercentilesFinding Probabilities for a Normal DistributionFinding the Percentile (Backwards Normal)Answers to Problems in Normal Distribution

Characterizing the Binomial DistributionFinding Probabilities Using the Binomial Formula for small nFinding Probabilities Using the Binomial Table for Medium-Sized nCalculating the Mean and Variance of the BinomialEstimating Probabilities in Large Cases — the Normal ApproximationAnswers to Problems in the Binomial Distribution
Getting to Know the t-DistributionWorking with the t-Table and Degrees of FreedomAnswers to Problems in the t-Distribution
Exactly What Is a Sampling Distribution?Clearing Up the Central Limit Theorem (Once and for All)Finding Probabilities with the Central Limit TheoremWhen Your Sample’s Too Small: Employing the t-DistributionAnswers to Problems in Sampling Distributions and the Central Limit Theorem
Reviewing Margin of ErrorCalculating the Margin of Error for Means and ProportionsIncreasing and Decreasing Margin of ErrorInterpreting Margin of Error CorrectlyAnswers to Problems in Making Sense of Margin of Error
Walking through a Confidence IntervalDeriving a Confidence Interval for a Population MeanFiguring a Confidence Interval for a Population ProportionCalculating a Confidence Interval for the Difference of Two MeansComputing a Confidence Interval for the Difference of Two ProportionsAnswers to Problems in Calculating Confidence Intervals
Interpreting Confidence Intervals the Right WayEvaluating Confidence Interval Results: What the Formulas Don’t Tell YouAnswers to Problems in Confidence Intervals
Walking Through a Hypothesis TestTesting a Hypothesis about a Population MeanTesting a Hypothesis about a Population ProportionTesting for a Difference between Two Population MeansTesting for a Mean Difference (Paired t-Test)Testing a Hypothesis about Two Population ProportionsAnswers to Problems in Testing Hypotheses
Understanding What p-Values MeasureTest (Statistic) Time: Figuring Out p-ValuesThe Value Breakdown: Interpreting p-Values ProperlyDeciphering Type I ErrorsDeciphering and Distinguishing Type II ErrorsAnswers to Problems in p-Values and Type I and II Errors
Planning and Designing a SurveySelecting a Random SampleCarrying Out a Survey ProperlyInterpreting and Evaluating Survey ResultsAnswers to Problems in Polls and Surveys
Distinguishing Experiments from Observational StudiesDesigning a Good ExperimentLooking for Cause and Effect: Interpreting Experiment ResultsAnswers to Problems in Evaluating Experiments
Understanding Two-Way Tables Inside and OutWorking with Intersection, Unions, and the Addition RuleFiguring Marginal ProbabilitiesNailing Down Conditional Probabilities and the Multiplication RuleInspecting the Independence of Categorical VariablesAnswers to Problems in Two-Way Tables
Relating X and Y with a ScatterplotToeing the Line of CorrelationPicking Out the Best Fitting Regression LineInterpreting the Regression Line and Making PredictionsChecking the Fit of the Regression LineAnswers to Problems in Correlation and Regression
Know Your Math SymbolsUproot Roots and PowersTreat Fractions with Extra CareObey the Order of OperationsAvoid Rounding ErrorsGet Comfortable with FormulasStay Calm When Formulas Get ToughFeel Fine about FunctionsKnow When Your Answer Is WrongShow Your Work
Mean (or Average)MedianSample Standard DeviationCorrelationMargin of Error for the Sample MeanSample Size Needed for Estimating μTest Statistic for the MeanMargin of Error for the Sample ProportionSample Size Needed for Estimating pTest Statistic for the Proportion
Scrutinizing GraphsSearching for and Specifying BiasMarking the Margin of ErrorScanning for Sample SizeStudying Sample Selection (Gotta Be Random)Checking for Confounding VariablesConsidering CorrelationDoing the MathDetecting Selective ReportingAvoiding the Anecdote
Z-Tablet-TableBinomial Table

Content preview from Statistics Workbook For Dummies with Online Practice, 2nd Edition

Part 2

Probability, Distributions, and the Central Limit Theorem (Are You Having Fun Yet?)

IN THIS PART …

Understand the basic underpinnings of statistics — distributions.

Tackle sampling distributions and margin of error.

Become familiar with standard scores, probability, and percentiles from the Z-distribution.

Get the ins and outs of the t- and binomial distributions.

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ISBN: 9781119547518Purchase book