 2.1: What percent of females are browneyed?
 2.2: What percent of browneyed students are female?
 2.3: What percent of students are browneyed females?
 2.4: Whats the distribution of Eye Color?
 2.5: Whats the conditional distribution of Eye Color for the males?
 2.6: Compare the percent who are female among the blueeyed students to ...
 2.7: Does it seem that Eye Color and Sex are independent? Explain.
 2.8: Ratings again Here is a bar chart summarizing the 2011 movie rating...
 2.9: Yearly ratings The Motion Picture Association of America (MPAA) rat...
 2.10: Marriage in decline Changing attitudes about marriage and families ...
 2.11: Magnet schools An article in the Winter 2003 issue of Chance magazi...
 2.12: Magnet schools again The Chance article about the Houston magnet sc...
 2.13: Causes of death 2007 The Centers for Disease Control and Prevention...
 2.14: Plane crashes An investigation compiled information about recent no...
 2.15: Oil spills 2010 Data from the International Tanker Owners Pollution...
 2.16: Winter Olympics 2010 Twentysix countries won medals in the 2010 Wi...
 2.17: Global Warming The Pew Research Center for the People and the Press...
 2.18: Death 2010 The January 2012 National Vital Statistics Report by the...
 2.19: Teen smokers The organization Monitoring the Future (www.monitoring...
 2.20: Handguns In an effort to reduce the number of gunrelated homicides,...
 2.21: Movies by genre and rating Heres a table that classifies movies rel...
 2.22: The last picture show Heres another table showing information about...
 2.23: Seniors Prior to graduation, a high school class was surveyed about...
 2.24: Politics Students in an Intro Stats course were asked to describe t...
 2.25: More about seniors Look again at the table of postgraduation plans ...
 2.26: Politics revisited Look again at the table of political views for t...
 2.27: Magnet schools revisited The Chance magazine article described in E...
 2.28: More politics Look once more at the table summarizing the political...
 2.29: Back to school Examine the table about ethnicity and acceptance for...
 2.30: Cars A survey of autos parked in student and staff lots at a large ...
 2.31: Weather forecasts Just how accurate are the weather forecasts we he...
 2.32: Twins In 2000, the Journal of the American Medical Association (JAM...
 2.33: Blood pressure A company held a blood pressure screening clinic for...
 2.34: Obesity and exercise The Centers for Disease Control and Prevention...
 2.35: Anorexia Hearing anecdotal reports that some patients undergoing tr...
 2.36: Antidepressants and bone fractures For a period of five years, phys...
 2.37: Drivers licenses 2011 The following table shows the number of licen...
 2.38: Tattoos A study by the University of Texas Southwestern Medical Cen...
 2.39: Hospitals Most patients who undergo surgery make routine recoveries...
 2.40: Delivery service A company must decide which of two delivery servic...
 2.41: Graduate admissions A 1975 article in the magazine Science examined...
 2.42: Be a Simpson Can you design a Simpsons paradox? Two companies are v...
Solutions for Chapter 2: Displaying and Describing Categorical Data
Full solutions for Stats Modeling the World  4th Edition
ISBN: 9780321854018
Solutions for Chapter 2: Displaying and Describing Categorical Data
Get Full SolutionsThis textbook survival guide was created for the textbook: Stats Modeling the World, edition: 4. Since 42 problems in chapter 2: Displaying and Describing Categorical Data have been answered, more than 21389 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 2: Displaying and Describing Categorical Data includes 42 full stepbystep solutions. Stats Modeling the World was written by and is associated to the ISBN: 9780321854018.

Addition rule
A formula used to determine the probability of the union of two (or more) events from the probabilities of the events and their intersection(s).

Analysis of variance (ANOVA)
A method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variation

Assignable cause
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.

Average run length, or ARL
The average number of samples taken in a process monitoring or inspection scheme until the scheme signals that the process is operating at a level different from the level in which it began.

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

Central tendency
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.

Components of variance
The individual components of the total variance that are attributable to speciic sources. This usually refers to the individual variance components arising from a random or mixed model analysis of variance.

Contingency table.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.

Correlation
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.

Correlation coeficient
A dimensionless measure of the linear association between two variables, usually lying in the interval from ?1 to +1, with zero indicating the absence of correlation (but not necessarily the independence of the two variables).

Counting techniques
Formulas used to determine the number of elements in sample spaces and events.

Cumulative sum control chart (CUSUM)
A control chart in which the point plotted at time t is the sum of the measured deviations from target for all statistics up to time t

Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.

Density function
Another name for a probability density function

Dependent variable
The response variable in regression or a designed experiment.

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

Distribution free method(s)
Any method of inference (hypothesis testing or conidence interval construction) that does not depend on the form of the underlying distribution of the observations. Sometimes called nonparametric method(s).

Enumerative study
A study in which a sample from a population is used to make inference to the population. See Analytic study

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