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STATISTICS-PRINT COMPANION+ACCESS+CARD2nd EditionLock Publisher: WILEYISBN: 9781119383802
STATISTICS-PRINT COMPANION+ACCESS+CARD
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Browse All Chapters of This Textbook
Chapter 1.1 - The Structure Of DataChapter 1.2 - Sampling From A PopulationChapter 1.3 - Experiments And Observational StudiesChapter 2.1 - Categorical VariablesChapter 2.2 - One Quantitative Variable: Shape And CenterChapter 2.3 - One Quantitative Variable: Measures Of SpreadChapter 2.4 - Boxplots And Quantitative/categorical RelationshipsChapter 2.5 - Two Quantitative Variables: Scatterplot And CorrelationChapter 2.6 - Two Quantitative Variables: Linear RegressionChapter 2.7 - Data Visualization And Multiple Variables
Chapter A - Essential SynthesisChapter 3.1 - Sampling DistributionsChapter 3.2 - Understanding And Interpreting Confidence IntervalsChapter 3.3 - Constructing Bootstrap Confidence IntervalsChapter 3.4 - Bootstrap Confidence Intervals Using PercentilesChapter 4.1 - Introducing Hypothesis TestsChapter 4.2 - Measuring Evidence With P-valuesChapter 4.3 - Determining Statistical SignificanceChapter 4.4 - A Closer Look At TestingChapter 4.5 - Making ConnectionsChapter B - Essential SynthesisChapter 5.1 - Hypothesis Tests Using Normal DistributionsChapter 5.2 - Confidence Intervals Using Normal DistributionsChapter 6.1 - Inference For A ProportionChapter 6.2 - Inference For A MeanChapter 6.3 - Inference For A Difference In ProportionsChapter 6.4 - Inference For A Difference In MeansChapter 6.5 - Paired Difference In MeansChapter C - Essential SynthesisChapter 7.1 - Testing Goodness-of-fit For A Single Categorical VariableChapter 7.2 - Testing For An Association Between Two Categorical VariablesChapter 8.1 - Analysis Of VarianceChapter 8.2 - Pairwise Comparisons And Inference After AnovaChapter 9.1 - Inference For Slope And CorrelationChapter 9.2 - Anova For RegressionChapter 9.3 - Confidence And Prediction IntervalsChapter 10.1 - Multiple PredictorsChapter 10.2 - Checking Conditions For A Regression ModelChapter 10.3 - Using Multiple RegressionChapter D - Essential SynthesisChapter E - The Big Picture: Essential SynthesisChapter P.1 - Probability RulesChapter P.2 - Tree Diagrams And Bayes’ RuleChapter P.3 - Random Variables And Probability FunctionsChapter P.4 - Binomial ProbabilitiesChapter P.5 - Density Curves And The Normal Distribution
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Association: Two variables are said to have an association, if the values of one variable change...From the given scatterplot in Figure 2.84(a), it is clear that there are two variables included,...Random Sampling: Random sampling is a sampling technique where each unit of the population has an...In a 95% confidence interval, 95% of observation will be considered as the middle values and the...Since this is about estimating the percentage of voters who support instituting a national...Here, denote μ1 as the mean recovery time of students with colds who are given large doses of...Step-by-step procedure to obtain the z*-value using StatKey: Choose Normal under Theoretical...The best estimate for the difference in the means is x¯d=3.7_. The confidence interval for μd=μ1−μ2...Here, the average amount of money people spend in the store is estimated. Hence, the problem is...
From the given table, row and column totals for the cell (Group 3, Yes) (=72) are 100 and 260,...The null and alternative hypotheses can be written as follows: Null hypothesis: H0: There is no...The prediction interval is always wider when compared to the confidence interval. Based on the... In order to improve a regression model, the most insignificant independent variable in the model...Denote p1,p2, and p3 be the proportions for A, B, and C, respectively. The null and alternative...Dear Person D, Population can be generalized from the sample, only if the sample is the...
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