 3.1: Graphs in the news. Find a bar graph of categoricaldata from a news...
 3.2: Graphs in the news II. Find a pie chart of categoricaldata from a n...
 3.3: Tables in the news. Find a frequency table of categorical data fro...
 3.4: Tables in the news II. Find a contingency table of categorical dat...
 3.5: Movie genres. The pie chart summarizes the genres of120 firstrun m...
 3.6: Movie ratings. The pie chart shows the ratings assigned to 120 fir...
 3.7: Genres again. Here is a bar chart summarizing the2005 movie genres,...
 3.8: Ratings again. Here is a bar chart summarizing the2005 movie rating...
 3.9: Magnet schools. An article in the Winter 2003 issue ofChance magazi...
 3.10: Magnet schools again. The Chance article about theHouston magnet sc...
 3.11: Causes of death 2004. The Centers for DiseaseControl and Prevention...
 3.12: Plane crashes. An investigation compiled informationabout recent no...
 3.13: Oil spills 2006. Data from the International TankerOwners Pollution...
 3.14: Winter Olympics 2006. Twentysix countrieswon medals in the 2006 Wi...
 3.15: Global Warming. The Pew Research Center for thePeople and the Press...
 3.16: Modalities. A survey of athletic trainers (Scott F.Nadler, Michael ...
 3.17: Teen smokers. The organization Monitoring theFuture (www.monitoring...
 3.18: Handguns. In an effort to reduce the number of gunrelated homicide...
 3.19: Movies by Genre and Rating. Heres a table that classifies movies r...
 3.20: The Last Picture Show. Heres another table showinginformation about...
 3.21: Seniors. Prior to graduation, a high school class wassurveyed about...
 3.22: Politics. Students in an Intro Stats course were askedto describe t...
 3.23: More about seniors. Look again at the table of postgraduation plan...
 3.24: Politics revisited. Look again at the table of politicalviews for t...
 3.25: Magnet schools revisited. The Chance magazine article described in...
 3.26: More politics. Look once more at the table summarizing the politic...
 3.27: Back to school. Examine the table about ethnicity andacceptance for...
 3.28: Cars. A survey of autos parked in student and staff lotsat a large ...
 3.29: Weather forecasts. Just how accurate are the weatherforecasts we he...
 3.30: Twins. In 2000, the Journal of the American MedicalAssociation (JAM...
 3.31: Blood pressure. A company held a blood pressure screening clinic f...
 3.32: Obesity and exercise. The Centers for Disease Control and Preventi...
 3.33: Anorexia. Hearing anecdotal reports that some patientsundergoing tr...
 3.34: Antidepressants and bone fractures. For a period offive years, phys...
 3.35: Drivers licenses 2005. The following table shows thenumber of licen...
 3.36: Tattoos. A study by the University of Texas Southwestern Medical C...
 3.37: Hospitals. Most patients who undergo surgery makeroutine recoveries...
 3.38: Delivery service. A company must decide which oftwo delivery servic...
 3.39: Graduate admissions. A 1975 article in the magazineScience examined...
 3.40: Be a Simpson! Can you design a Simpsons paradox?Two companies are v...
Solutions for Chapter 3: Displaying and Describing Categorical Data
Full solutions for Stats: Modeling The World  3rd Edition
ISBN: 9780131359581
Solutions for Chapter 3: Displaying and Describing Categorical Data
Get Full SolutionsStats: Modeling The World was written by and is associated to the ISBN: 9780131359581. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 3: Displaying and Describing Categorical Data includes 40 full stepbystep solutions. Since 40 problems in chapter 3: Displaying and Describing Categorical Data have been answered, more than 39086 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: Stats: Modeling The World , edition: 3.

2 k factorial experiment.
A full factorial experiment with k factors and all factors tested at only two levels (settings) each.

Backward elimination
A method of variable selection in regression that begins with all of the candidate regressor variables in the model and eliminates the insigniicant regressors one at a time until only signiicant regressors remain

Bernoulli trials
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.

Bimodal distribution.
A distribution with two modes

Causeandeffect diagram
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.

Chance cause
The portion of the variability in a set of observations that is due to only random forces and which cannot be traced to speciic sources, such as operators, materials, or equipment. Also called a common cause.

Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.

Continuous random variable.
A random variable with an interval (either inite or ininite) of real numbers for its range.

Critical value(s)
The value of a statistic corresponding to a stated signiicance level as determined from the sampling distribution. For example, if PZ z PZ ( )( .) . ? =? = 0 025 . 1 96 0 025, then z0 025 . = 1 9. 6 is the critical value of z at the 0.025 level of signiicance. Crossed factors. Another name for factors that are arranged in a factorial experiment.

Design matrix
A matrix that provides the tests that are to be conducted in an experiment.

Designed experiment
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment

Empirical model
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.

Error mean square
The error sum of squares divided by its number of degrees of freedom.

Estimate (or point estimate)
The numerical value of a point estimator.

Exhaustive
A property of a collection of events that indicates that their union equals the sample space.

Extra sum of squares method
A method used in regression analysis to conduct a hypothesis test for the additional contribution of one or more variables to a model.

F distribution.
The distribution of the random variable deined as the ratio of two independent chisquare random variables, each divided by its number of degrees of freedom.

Factorial experiment
A type of experimental design in which every level of one factor is tested in combination with every level of another factor. In general, in a factorial experiment, all possible combinations of factor levels are tested.

Fraction defective
In statistical quality control, that portion of a number of units or the output of a process that is defective.

Gaussian distribution
Another name for the normal distribution, based on the strong connection of Karl F. Gauss to the normal distribution; often used in physics and electrical engineering applications