 Chapter Part I: Exploring and Understanding Data
 Chapter 1: Stats Starts Here
 Chapter 10: Understanding Randomness
 Chapter 11: Sample Surveys
 Chapter 12: Experiments and Observational Studies
 Chapter 13: From Randomness to Probability
 Chapter 14: Probability Rules!
 Chapter 15: Random Variables
 Chapter 16: Probability Models
 Chapter 17: Sampling Distribution Models
 Chapter 18: Confidence Intervals for Proportions
 Chapter 19: Testing Hypotheses About Proportions
 Chapter 2: Displaying and Describing Categorical Data
 Chapter 20: More About Tests and Intervals
 Chapter 21: Comparing Two Proportions
 Chapter 22: Inferences About Means
 Chapter 23: Comparing Means
 Chapter 24: Paired Samples and Blocks
 Chapter 25: Comparing Counts
 Chapter 26: Inferences for Regression
 Chapter 27: Analysis of Variance
 Chapter 28: Multiple Regression
 Chapter 3: Displaying and Summarizing Quantitative Data
 Chapter 4: Understanding and Comparing Distributions
 Chapter 5: The Standard Deviation as a Ruler and the Normal Model
 Chapter 6: Scatterplots, Association, and Correlation
 Chapter 7: Linear Regression
 Chapter 8: Regression Wisdom
 Chapter 9: Reexpressing Data: Get It Straight!
 Chapter Part II: Exploring Relationships Between Variables
 Chapter Part III: Gathering Data
Stats Modeling the World 4th Edition  Solutions by Chapter
Full solutions for Stats Modeling the World  4th Edition
ISBN: 9780321854018
Stats Modeling the World  4th Edition  Solutions by Chapter
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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

Analytic study
A study in which a sample from a population is used to make inference to a future population. Stability needs to be assumed. See Enumerative study

Asymptotic relative eficiency (ARE)
Used to compare hypothesis tests. The ARE of one test relative to another is the limiting ratio of the sample sizes necessary to obtain identical error probabilities for the two procedures.

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

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

Bivariate normal distribution
The joint distribution of two normal random variables

Chisquare test
Any test of signiicance based on the chisquare distribution. The most common chisquare tests are (1) testing hypotheses about the variance or standard deviation of a normal distribution and (2) testing goodness of it of a theoretical distribution to sample data

Conidence level
Another term for the conidence coeficient.

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

Control limits
See Control chart.

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.

Covariance
A measure of association between two random variables obtained as the expected value of the product of the two random variables around their means; that is, Cov(X Y, ) [( )( )] =? ? E X Y ? ? X Y .

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 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

Dispersion
The amount of variability exhibited by data

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

Event
A subset of a sample space.

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

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.

Geometric random variable
A discrete random variable that is the number of Bernoulli trials until a success occurs.