 5.1: In the news. Find an article in a newspaper, magazine,or the Intern...
 5.2: In the news. Find an article in a newspaper, magazine,or the Intern...
 5.3: Time on the Internet. Find data on the Internet (orelsewhere) that ...
 5.4: Groups on the Internet. Find data on the Internet(or elsewhere) for...
 5.5: Pizza prices. A company that sells frozen pizza tostores in four ma...
 5.6: Costs. To help travelers know what to expect,researchers collected ...
 5.7: Still rockin. Crowd Management Strategies monitorsaccidents at rock...
 5.8: Slalom times. The Mens Combined skiing event consists of a downhil...
 5.9: Cereals. Sugar is a major ingredient in many breakfastcereals. The ...
 5.10: Tendon transfers. People with spinal cord injuriesmay lose function...
 5.11: Population growth. Here is a backtoback stemandleaf display tha...
 5.12: Camp sites. Shown below are the histogram and summary statistics f...
 5.13: Hospital stays. The U.S. National Center for HealthStatistics compi...
 5.14: Deaths 2003. A National Vital Statistics Report(www.cdc.gov/nchs/) ...
 5.15: Womens basketball. Here are boxplots of the pointsscored during the...
 5.16: Gas prices. Here are boxplots of weekly gas prices at aservice stat...
 5.17: Marriage age. In 1975, did men and women marry atthe same age? Here...
 5.18: Fuel economy. Describe what these boxplots tell youabout the relati...
 5.19: Fuel economy II. The Environmental Protection Agencyprovides fuel e...
 5.20: Ozone. Ozone levels (in parts per billion, ppb) wererecorded at sit...
 5.21: Test scores. Three Statistics classes all took the sametest. Histog...
 5.22: Eye and hair color. A survey of 1021 schoolage children was condu...
 5.23: Graduation? A survey of major universities askedwhat percentage of ...
 5.24: Vineyards. Here are summary statistics for the sizes(in acres) of F...
 5.25: Caffeine. A student study of the effects of caffeineasked volunteer...
 5.26: SAT scores. Here are the summary statistics for VerbalSAT scores fo...
 5.27: Derby speeds 2007. How fast do horses run? Kentucky Derby winners ...
 5.28: Cholesterol. The Framingham Heart Study recordedthe cholesterol lev...
 5.29: Reading scores. A class of fourth graders takes a diagnostic readi...
 5.30: Rainmakers? In an experiment to determine whetherseeding clouds wit...
 5.31: Industrial experiment. Engineers at a computer production plant te...
 5.32: Cholesterol. A study examining the health risks ofsmoking measured ...
 5.33: MPG. A consumer organization compared gas mileagefigures for severa...
 5.34: Baseball. American League baseball teams play theirgames with the d...
 5.35: Fruit Flies. Researchers tracked a population of1,203,646 fruit fli...
 5.36: Drunk driving 2005. Accidents involving drunk drivers account for ...
 5.37: Assets. Here is a histogram of the assets (in millions ofdollars) o...
 5.38: Music library. Students were asked how many songsthey had in their ...
 5.39: Assets again. Here are the same data you saw inExercise 37 after re...
 5.40: Rainmakers. The table lists the amount of rainfall (inacrefeet) fr...
 5.41: Stereograms. Stereograms appear to be composed entirely of random ...
 5.42: Stereograms, revisited. Because of the skewness ofthe distributions...
Solutions for Chapter 5: Understanding and Comparing Distributions
Full solutions for Stats: Modeling The World  3rd Edition
ISBN: 9780131359581
Solutions for Chapter 5: Understanding and Comparing Distributions
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. Stats: Modeling The World was written by and is associated to the ISBN: 9780131359581. Since 42 problems in chapter 5: Understanding and Comparing Distributions have been answered, more than 44574 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: Stats: Modeling The World , edition: 3. Chapter 5: Understanding and Comparing Distributions includes 42 full stepbystep solutions.

Acceptance region
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion

Attribute control chart
Any control chart for a discrete random variable. See Variables control chart.

Average
See Arithmetic mean.

Bayes’ theorem
An equation for a conditional probability such as PA B (  ) in terms of the reverse conditional probability PB A (  ).

Central limit theorem
The simplest form of the central limit theorem states that the sum of n independently distributed random variables will tend to be normally distributed as n becomes large. It is a necessary and suficient condition that none of the variances of the individual random variables are large in comparison to their sum. There are more general forms of the central theorem that allow ininite variances and correlated random variables, and there is a multivariate version of the theorem.

Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.

Cook’s distance
In regression, Cook’s distance is a measure of the inluence of each individual observation on the estimates of the regression model parameters. It expresses the distance that the vector of model parameter estimates with the ith observation removed lies from the vector of model parameter estimates based on all observations. Large values of Cook’s distance indicate that the observation is inluential.

Defect
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.

Discrete random variable
A random variable with a inite (or countably ininite) range.

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 variance
The variance of an error term or component in a model.

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

Experiment
A series of tests in which changes are made to the system under study

Exponential random variable
A series of tests in which changes are made to the system under study

Firstorder model
A model that contains only irstorder terms. For example, the irstorder response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irstorder model is also called a main effects model

Forward selection
A method of variable selection in regression, where variables are inserted one at a time into the model until no other variables that contribute signiicantly to the model can be found.

Fractional factorial experiment
A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.

Gamma function
A function used in the probability density function of a gamma random variable that can be considered to extend factorials

Generating function
A function that is used to determine properties of the probability distribution of a random variable. See Momentgenerating function

Generator
Effects in a fractional factorial experiment that are used to construct the experimental tests used in the experiment. The generators also deine the aliases.