Solutions for Intro Stats, Books a la carte Plus NEW MyLab Statistics with Pearson eText -- Access Card Package (5th Edition)
Problem 1E:
Load factors 2016 The Research and Innovative Technology Administration of the Bureau of...Problem 2E:
Load factors, 2016 by season We can also compare domestic load factors for September through March...Problem 4E:
Prisons 2014 In a way, boxplots are the opposite of histograms. A histogram divides the number line...Problem 5E:
Load factors 2016 by month Here is a display of the international load factors by month for the...Problem 10E:
Exoplanets re-expressed Here are the exoplanet distances of Exercise 9, re-expressed to the log...Problem 13E:
Pizza prices by city (Data in Pizza prices) The company that sells frozen pizza to stores in four...Problem 15E:
Cost of living 2016, selected cities To help travelers know what to expect, researchers collected...Problem 18E:
Slalom times 2014 The Mens Giant Slalom skiing event consists of two runs whose times are added...Problem 19E:
Sugar in cereals Sugar is a major ingredient in many breakfast cereals. The histogram displays the...Problem 20E:
Tendon transfers People with spinal cord injuries may lose function in some, but not all, of their...Problem 21E:
Population growth, 2010 by region (Data in Population Growth 2010) below is a back-to-back...Problem 22E:
Camp sites Shown below are the histogram and summary statistics for the number of camp sites at...Problem 23E:
Hospital stays The U.S. National Center for Health Statistics compiles data on the length of stay by...Problem 24E:
Deaths 2014 A National Vital Statistics Report (www.cdc.gov/nchs/) provides information on deaths by...Problem 25E:
Womens basketball Here are boxplots of the points scored during the first 10 games of the season for...Problem 27E:
Marriage age In 1975, did men and women marry at the same age? Here are boxplots of the age at first...Problem 28E:
Fuel economy and cylinders Describe what these boxplots tell you about the relationship between the...Problem 30E:
Ozone Ozone levels (in parts per billion, ppb) were recorded at sites in New Jersey monthly between...Problem 31E:
Test scores Three statistics classes all took the same test. Histograms and boxplots of the scores...Problem 33E:
Graduation? A survey of major universities asked what percentage of incoming freshmen usually...Problem 34E:
Vineyards Here are summary statistics for the sizes (in acres) of a collection of vineyards in the...Problem 35E:
Caffeine A student study of the effects of caffeine asked volunteers to take a memory test 2 hours...Problem 36E:
SAT scores Here are the summary statistics for Verbal SAT scores for a high school graduating class:...Problem 38E:
Framingham cholesterol The Framingham Heart Study recorded the cholesterol levels of more than 1400...Problem 40E:
Cloud seeding In an experiment to determine whether seeding clouds with silver iodide increases...Problem 41E:
Industrial experiment Engineers at a computer production plant tested two methods for accuracy in...Problem 42E:
Cholesterol and smoking A study that examined the health risks of smoking measured the cholesterol...Problem 45E:
Assets Here is a histogram of the assets (in millions of dollars) of 79 companies chosen from the...Problem 47E:
Assets again Here are the same data you saw in Exercise 45 after re-expressions as the square root...Problem 48E:
Rainmakers The table lists the amounts of rainfall (in acre feet) from the 26 clouds seeded with...Problem 49E:
Stereograms Stereograms appear to be composed entirely of random dots. However, they contain...Browse All Chapters of This Textbook
Chapter 1 - Stats Starts HereChapter 1.3 - VariablesChapter 2 - Displaying And Describing DataChapter 2.3 - ShapeChapter 2.5 - SpreadChapter 3 - Relationships Between Categorical Variables—contingency TablesChapter 3.2 - Conditional DistributionsChapter 4 - Understanding And Comparing DistributionsChapter 4.1 - Displays For Comparing GroupsChapter 5 - The Standard Deviation As A Ruler And The Normal Model
Chapter 5.1 - Using The Standard Deviation To Standardize ValuesChapter 5.2 - Shifting And ScalingChapter 5.3 - Normal ModelsChapter 6 - Scatterplots, Association, And CorrelationChapter 6.2 - CorrelationChapter 7 - Linear RegressionChapter 7.4 - Regression To The MeanChapter 7.6 - R2—the Variation Accounted For By The ModelChapter 8 - Regression WisdomChapter 8.3 - Outliers, Leverage, And InfluenceChapter 8.7 - Finding A Good Re-expressionChapter 9 - Multiple RegressionChapter 9.4 - Partial Regression PlotsChapter 10 - Sample SurveysChapter 10.2 - Populations And ParametersChapter 10.4 - Other Sampling DesignsChapter 11 - Experiments And Observational StudiesChapter 11.3 - The Four Principles Of Experimental DesignChapter 11.4 - Control GroupsChapter 12 - From Randomness To ProbabilityChapter 12.1 - Random PhenomenaChapter 12.3 - Formal ProbabilityChapter 12.5 - IndependenceChapter 12.6 - Picturing Probability: Tables, Venn Diagrams, And TreesChapter 13 - Sampling Distribution Models And Confidence Intervals For ProportionsChapter 13.2 - When Does The Normal Model Work? Assumptions And ConditionsChapter 13.3 - A Confidence Interval For A ProportionChapter 13.5 - Margin Of Error: Certainty Vs. PrecisionChapter 14 - Confidence Intervals For MeansChapter 14.2 - A Confidence Interval For The MeanChapter 14.3 - Interpreting Confidence IntervalsChapter 15 - Testing HypothesesChapter 15.2 - P-valuesChapter 15.4 - A Hypothesis Test For The MeanChapter 15.6 - P-values And Decisions: What To Tell About A Hypothesis TestChapter 16 - More About Tests And IntervalsChapter 16.2 - Alpha Levels And Critical ValuesChapter 16.3 - Practical Vs. Statistical SignificanceChapter 16.4 - ErrorsChapter 17 - Comparing GroupsChapter 17.2 - Assumptions And Conditions For Comparing ProportionsChapter 17.3 - The Two-sample Z-test: Testing For The Difference Between ProportionsChapter 17.4 - A Confidence Interval For The Difference Between Two MeansChapter 17.5 - The Two-sample T-test: Testing For The Difference Between Two MeansChapter 18 - Paired Samples And BlocksChapter 18.4 - BlockingChapter 19 - Comparing CountsChapter 19.3 - Examining The ResidualsChapter 19.4 - Chi-square Test Of IndependenceChapter 20 - Inferences For RegressionChapter 20.5 - Multiple Regression InferenceChapter R - Review ExercisesChapter CR - Cumulative Review Exercises
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