 1.1.9: Cool car colors The most popular colors for cars and light trucks c...
 1.1.10: Spam Email spam is the curse of the Internet. Here is a compilation...
 1.1.11: Birth days Births are not evenly distributed across the days of the...
 1.1.12: Deaths among young people Among persons aged 15 to 24 years in the ...
 1.1.13: Hispanic origins Below is a pie chart prepared by the Census Bureau...
 1.1.14: Which major? About 1.6 million firstyear students enroll in colleg...
 1.1.15: Buying music online Young people are more likely than older folk to...
 1.1.16: The audience for movies Here are data on the percent of people in s...
 1.1.17: Going to school Students in a high school statistics class were giv...
 1.1.18: Oatmeal and cholesterol Does eating oatmeal reduce cholesterol? An ...
 1.1.19: Attitudes toward recycled products Recycling is supposed to save re...
 1.1.20: Smoking by students and parents Here are data from a survey conduct...
 1.1.21: Attitudes toward recycled products Exercise 19 gives data on the op...
 1.1.22: Smoking by students and parents Refer to Exercise 20. Calculate thr...
 1.1.23: Popular colorshere and there Favorite vehicle colors may differ amo...
 1.1.24: Comparing car colors Favorite vehicle colors may differ among types...
 1.1.25: Snowmobiles in the park Yellowstone National Park surveyed a random...
 1.1.26: Angry people and heart disease People who get angry easily tend to ...
 1.1.27: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
 1.1.28: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
 1.1.29: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
 1.1.30: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
 1.1.31: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
 1.1.32: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
 1.1.33: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
 1.1.34: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
 1.1.35: Marginal distributions arent the whole story Here are the row and c...
 1.1.36: Fuel economy (Introduction) Here is a small part of a data set that...
Solutions for Chapter 1.1: Analyzing Categorical Data
Full solutions for The Practice of Statistics  5th Edition
ISBN: 9781464108730
Solutions for Chapter 1.1: Analyzing Categorical Data
Get Full SolutionsChapter 1.1: Analyzing Categorical Data includes 28 full stepbystep solutions. Since 28 problems in chapter 1.1: Analyzing Categorical Data have been answered, more than 11088 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: The Practice of Statistics, edition: 5. This expansive textbook survival guide covers the following chapters and their solutions. The Practice of Statistics was written by and is associated to the ISBN: 9781464108730.

2 k p  factorial experiment
A fractional factorial experiment with k factors tested in a 2 ? p fraction with all factors tested at only two levels (settings) each

Adjusted R 2
A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Alternative hypothesis
In statistical hypothesis testing, this is a hypothesis other than the one that is being tested. The alternative hypothesis contains feasible conditions, whereas the null hypothesis speciies conditions that are under test

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.

Bayes’ estimator
An estimator for a parameter obtained from a Bayesian method that uses a prior distribution for the parameter along with the conditional distribution of the data given the parameter to obtain the posterior distribution of the parameter. The estimator is obtained from the posterior distribution.

Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.

Combination.
A subset selected without replacement from a set used to determine the number of outcomes in events and sample spaces.

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

Conditional variance.
The variance of the conditional probability distribution of a random variable.

Consistent estimator
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.

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).

Covariance matrix
A square matrix that contains the variances and covariances among a set of random variables, say, X1 , X X 2 k , , … . The main diagonal elements of the matrix are the variances of the random variables and the offdiagonal elements are the covariances between Xi and Xj . Also called the variancecovariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.

Cumulative distribution function
For a random variable X, the function of X deined as PX x ( ) ? that is used to specify the probability distribution.

Curvilinear regression
An expression sometimes used for nonlinear regression models or polynomial regression models.

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).

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

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

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.

Fraction defective control chart
See P chart

Frequency distribution
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on
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