- 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: Re-expressing 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
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
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.
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
Any test of signiicance based on the chi-square distribution. The most common chi-square 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
Another term for the conidence coeficient.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria
See Control chart.
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.
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 .
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 off-diagonal elements are the covariances between Xi and Xj . Also called the variance-covariance 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
The amount of variability exhibited by data
Estimate (or point estimate)
The numerical value of a point estimator.
A subset of a sample space.
Exponential random variable
A series of tests in which changes are made to the system under study
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.