- Chapter 1:
- Chapter 10: One- and Two-Sample Tests of Hypotheses
- Chapter 11: Simple Linear Regression and Correlation
- Chapter 12: Multiple Linear Regression and Certain Nonlinear Regression Models
- Chapter 13: One-Factor Experiments: General
- Chapter 14: Factorial Experiments (Two or More Factors)
- Chapter 15: 2k Factorial Experiments and Fractions
- Chapter 16: Nonparametric Statistics
- Chapter 17: Statistical Quality Control
- Chapter 18: Bayesian Statistics
- Chapter 2:
- Chapter 3:
- Chapter 4:
- Chapter 5:
- Chapter 6:
- Chapter 7: Functions of Random Variables (Optional)
- Chapter 8: Fundamental Sampling Distributions and Data Descriptions
- Chapter 9:
Probability and Statistics for Engineers and the Scientists 9th Edition - Solutions by Chapter
Full solutions for Probability and Statistics for Engineers and the Scientists | 9th Edition
Probability and Statistics for Engineers and the Scientists | 9th Edition - Solutions by ChapterGet Full Solutions
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
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.
Analysis of variance (ANOVA)
A method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variation
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.
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).
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable
Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.
A square matrix that contains the correlations among a set of random variables, say, XX X 1 2 k , ,…, . The main diagonal elements of the matrix are unity and the off-diagonal elements rij are the correlations between Xi and Xj .
Cumulative distribution function
For a random variable X, the function of X deined as PX x ( ) ? that is used to specify the probability distribution.
Degrees of freedom.
The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.
Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality
Another name for a probability density function
A matrix that provides the tests that are to be conducted in an experiment.
A study in which a sample from a population is used to make inference to the population. See Analytic study
Error mean square
The error sum of squares divided by its number of degrees of freedom.
A signal from a control chart when no assignable causes are present
Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.
Goodness of fit
In general, the agreement of a set of observed values and a set of theoretical values that depend on some hypothesis. The term is often used in itting a theoretical distribution to a set of observations.