Statistics: Informed Decisions Using Da...5th EditionMichael Sullivan III Publisher: PEARSONISBN: 9780134133539
Statistics: Informed Decisions Using Da...
Solutions for Statistics: Informed Decisions Using Data (5th Edition)
Problem 1AYU:
Vocabulary and Skill Building
1. In your own words, define explanatory variable and response...Problem 2AYU:
Vocabulary and Skill Building
2. What is an observational study? What is a designed experiment?...Problem 4AYU:
Vocabulary and Skill Building
4. Given a choice, would you conduct a study using an observational...Problem 6AYU:
Vocabulary and Skill Building
6. The data used in the influenza study presented in Example 3 were...Problem 8AYU:
Vocabulary and Skill Building
8. What does it mean when an observational study is retrospective?...Problem 10AYU:
Vocabulary and Skill Building
In Problems 9–16, determine whether the study depicts an observational...Problem 12AYU:
Vocabulary and Skill Building
In Problems 9–16, determine whether the study depicts an observational...Problem 13AYU:
Vocabulary and Skill Building
In Problems 9–16, determine whether the study depicts an observational...Problem 14AYU:
Vocabulary and Skill Building
In Problems 9–16, determine whether the study depicts an observational...Problem 16AYU:
Vocabulary and Skill Building
In Problems 9–16, determine whether the study depicts an observational...Browse All Chapters of This Textbook
Chapter 1 - Data CollectionChapter 1.1 - Introduction To The Practice Of StatisticsChapter 1.2 - Observational Studies Versus Designed ExperimentsChapter 1.3 - Simple Random SamplingChapter 1.4 - Other Effective Sampling MethodsChapter 1.5 - Bias In SamplingChapter 1.6 - The Design Of ExperimentsChapter 2 - Organizing And Summarizing DataChapter 2.1 - Organizing Qualitative DataChapter 2.2 - Organizing Qualitative Data:the Popular Displays
Chapter 2.3 - Additional Displays Of Quantitative DataChapter 2.4 - Graphical Misrepresentations Of DataChapter 3 - Numerically Summarizing DataChapter 3.1 - Measures Of Central TendencyChapter 3.2 - Measures Of DispersionChapter 3.3 - Measures Of Central Tendency And Dispersion From Grouped DataChapter 3.4 - Measures Of Position And OutliersChapter 3.5 - The Five-number Summary And BoxplotsChapter 4 - Describing The Relations Between Two VariablesChapter 4.1 - Scatter Diagrams And CorrelationChapter 4.2 - Least-squares RegressionChapter 4.3 - Diagnostics On The Least-squares Regression LineChapter 4.4 - Contingency Tables And AssociationChapter 5 - ProbabilityChapter 5.1 - Probability RulesChapter 5.2 - The Addition Rule And ComplementsChapter 5.3 - Independence And The Multiplication RuleChapter 5.4 - Conditional Probability And The General Multiplication RuleChapter 5.5 - Counting TechniquesChapter 5.6 - Putting It Together: Which Method Do I Use?Chapter 6 - Discrete Probability DistributionsChapter 6.1 - Discrete Random VariablesChapter 6.2 - The Binomial Probability DistributionChapter 6.3 - The Poisson Probability DistributionChapter 7 - The Normal Probability DistributionChapter 7.1 - Properties Of The Normal DistributionChapter 7.2 - Applications Of The Normal DistributionChapter 7.3 - Assessing NormalityChapter 7.4 - The Normal Approximation To The Binomial Probability DistributionChapter 8 - Sampling DistributionsChapter 8.1 - Distribution Of The Sample MeanChapter 8.2 - Distribution Of The Sample ProportionChapter 9 - Estimating The Value Of A ParameterChapter 9.1 - Estimating A Population ProportionChapter 9.2 - Estimating A Population MeanChapter 9.3 - Estimating A Population Standard DeviationChapter 9.4 - Putting It Together: Which Procedure Do I Use?Chapter 9.5 - Estimating With BootstrappingChapter 10 - Hypothesis Tests Regarding A ParameterChapter 10.1 - The Language Of Hypothesis TestingChapter 10.2 - Hypothesis Tests For A Population ProportionChapter 10.3 - Hypothesis Tests For A Population MeanChapter 10.4 - Hypothesis Tests For A Population Standard DeviationChapter 10.5 - Putting It Together: Which Method Do I Use?Chapter 10.6 - The Probability Of A Type Ii Error And The Power Of The TestChapter 11 - Inferences On Two SamplesChapter 11.1 - Inference About Two Population ProportionsChapter 11.2 - Inference About Two Means: Dependent SamplesChapter 11.3 - Inference About Two Means: Independent SamplesChapter 11.4 - Inference About Two Population Standard DeviationsChapter 11.5 - Putting It Together: Which Method Do I Use?Chapter 12 - Inference On Categorical DataChapter 12.1 - Goodness-of-fit TestChapter 12.2 - Tests For Independence And The Homogeneity Of ProportionsChapter 12.3 - Inference About Two Population Proportions:dependent SamplesChapter 13 - Comparing Three Or More MeansChapter 13.1 - Comparing Three Or More Means (one-way Analysis Of Variance)Chapter 13.2 - Post Hoc Tests On One-way Analysis Of VarianceChapter 13.3 - The Randomized Complete Block DesignChapter 13.4 - Two-way Analysis Of VarianceChapter 14 - Inference On The Least-squares Regression Model And Multiple RegressionChapter 14.1 - Testing The Significance Of The Least-squares Regression ModelChapter 14.2 - Confidence And Prediction IntervalsChapter 14.3 - Introduction To Multiple RegressionChapter 14.4 - Interaction And Dummy VariablesChapter 14.5 - Polynomial RegressionChapter 14.6 - Building A Regression ModelChapter 15 - Nonparametric StatisticsChapter 15.1 - An Overview Of Nonparametric StatisticsChapter 15.2 - Runs Test For RandomnessChapter 15.3 - Inference About Measures Of Central TendencyChapter 15.4 - Inference About The Difference Between Two Medians: Dependent SamplesChapter 15.5 - Inference About The Difference Between Two Medians: Independent SamplesChapter 15.6 - Spearman's Rank-correlation TestChapter 15.7 - Kruskal-wallis Test
Book Details
For courses in introductory statistics. Putting It Together. Statistics: Informed Decisions Using Data, Fifth Edition, gives students the tools to see a bigger picture and make informed choices. As a current introductory statistics instructor, Mike Sullivan III presents a text that is filled with ideas and strategies that work in today's classroom. His practical emphasis resonates with students and helps them see that statistics is connected, not only to individual concepts, but also with the world at large.
Sample Solutions for this Textbook
We offer sample solutions for Statistics: Informed Decisions Using Data (5th Edition) homework problems. See examples below:
Explanation: Statistical measures such as mean, median, and mode help to determine how the data of...Explanation: By observing the graph provided in the textbook, it can be seen that the total...Given: The provided data represents the muzzle velocity. Explanation: The mean of the provided data...Given: The least-squares linear regression is provided in the question. The response variable is the...Explanation: The given numbers could be the probability because the probability of an event must be...Explanation: A variable with only countable number of values is known as a discrete random variable....Given: The figure for the probability distribution is provided in the question. Explanation: μ...Explanation: Every statistic has a sampling distribution. Suppose that, instead of mean, medians can...Given: The alpha is 0.01 and the size of the sample is n=18. Explanation: For 99% confidence level,...
Given: The mean of credit card debt of UG was $3173. Explanation: In the study, μ is the mean of...Given: There are 20 individuals who are selected randomly for collecting the data. Explanation: The...Given: The sample size is n=500. Explanation: To test the hypothesis, the null and alternate...Given: The significance level is 0.05. The total number of treatments is k=7 and the error degrees...Explanation: The regression equation can be defined as follows: y^t=β1xt+β0+εt Here, y^t is the...Given: The necessary information is provided. Explanation: To test the randomness of the data, the...
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