- Chapter 1: Overview and Descriptive Statistics
- Chapter 10: The Analysis of Variance
- Chapter 11: Multifactor of Analysis of Variance
- Chapter 12: Simple Linear Regression and Correlation
- Chapter 13: Nonlinear and Mutiple Regression
- Chapter 14: Goodness-of-Fit Tests and Categorial Data Analysis
- Chapter 15: Distribution-Free Procedures
- Chapter 16: Quality Control Methods
- Chapter 2: Probability
- Chapter 3: Discrete Random Variables and Probability Distributions
- Chapter 4: Continuous Random Variables and Probability Distributions
- Chapter 5: Joint Probability Distributions and Random Samples
- Chapter 6: Point Estimation
- Chapter 7: Statistical Intervals Based on a Single Sample
- Chapter 8: Tests on Hypotheses Based on a Single Sample
- Chapter 9: Inferences Based on Two Samples
- Chapter SE1: Sample Exams
- Chapter SE2: Sample Exams
- Chapter SE3: Sample Exams
- Chapter SE4: Sample Exams
- Chapter SE5: Sample Exams
- Chapter SE6: Sample Exams
- Chapter SE7: Sample Exams
Probability and Statistics for Engineering and the Sciences (with Student Suite Online) 7th Edition - Solutions by Chapter
Full solutions for Probability and Statistics for Engineering and the Sciences (with Student Suite Online) | 7th Edition
ISBN: 9780495382171
Probability and Statistics for Engineering and the Sciences (with Student Suite Online) | 7th Edition - Solutions by Chapter
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a-error (or a-risk)
In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error).
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Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.
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Arithmetic mean
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average
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Attribute
A qualitative characteristic of an item or unit, usually arising in quality control. For example, classifying production units as defective or nondefective results in attributes data.
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Bernoulli trials
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.
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Box plot (or box and whisker plot)
A graphical display of data in which the box contains the middle 50% of the data (the interquartile range) with the median dividing it, and the whiskers extend to the smallest and largest values (or some deined lower and upper limits).
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Central composite design (CCD)
A second-order response surface design in k variables consisting of a two-level factorial, 2k axial runs, and one or more center points. The two-level factorial portion of a CCD can be a fractional factorial design when k is large. The CCD is the most widely used design for itting a second-order model.
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Conditional probability
The probability of an event given that the random experiment produces an outcome in another event.
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Consistent estimator
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.
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Continuous random variable.
A random variable with an interval (either inite or ininite) of real numbers for its range.
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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.
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Cumulative normal distribution function
The cumulative distribution of the standard normal distribution, often denoted as ?( ) x and tabulated in Appendix Table II.
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Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.
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Deming
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.
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Density function
Another name for a probability density function
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Designed experiment
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment
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Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.
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Exhaustive
A property of a collection of events that indicates that their union equals the sample space.
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Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r
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Harmonic mean
The harmonic mean of a set of data values is the reciprocal of the arithmetic mean of the reciprocals of the data values; that is, h n x i n i = ? ? ? ? ? = ? ? 1 1 1 1 g .