 6.6.1.1: Answer these questions for each data set. The data sets labeled DS ...
 6.6.1.2: Television Set Quality One Friday morning at a television manufactu...
 6.6.1.3: Eye Colors DS 6.1.3 presents the eye colors of a group of students ...
 6.6.1.4: Restaurant Service Times One Saturday a researcher recorded the tim...
 6.6.1.5: Fruit Spoilage Every day in the summer months a supermarket receive...
 6.6.1.6: Telephone Switchboard Activity A researcher records the number of c...
 6.6.1.7: Paving Slab Weights A builder orders a large shipment of paving sla...
 6.6.1.8: Spray Painting Procedure Car panels are spray painted by a machine....
 6.6.1.9: Plastic Panel Bending Capabilities The bending capabilities of plas...
 6.6.1.10: An analysis is performed of a companys monthly prots, which are $1....
 6.6.1.11: In market research, a potential new product is tested on a sample o...
 6.6.2.1: Fabric Types DS 6.2.1 shows a data set of fabric types. Construct a...
 6.6.2.2: Software Evaluations DS 6.2.2 shows the evaluations of a new piece ...
 6.6.2.3: Piston Rod Lengths DS 6.2.3 shows the lengths of 30 piston rods. Co...
 6.6.2.4: Physical Training Course Completion Times DS 6.2.4 shows the times ...
 6.6.2.5: Use a statistical software package to obtain appropriate graphical ...
 6.6.2.6: Use a statistical software package to obtain appropriate graphical ...
 6.6.2.7: Use a statistical software package to obtain appropriate graphical ...
 6.6.2.8: Use a statistical software package to obtain appropriate graphical ...
 6.6.2.9: Use a statistical software package to obtain appropriate graphical ...
 6.6.2.10: Use a statistical software package to obtain appropriate graphical ...
 6.6.2.11: Use a statistical software package to obtain appropriate graphical ...
 6.6.2.12: Use a statistical software package to obtain appropriate graphical ...
 6.6.2.13: Use a statistical software package to obtain appropriate graphical ...
 6.6.2.14: Explain the difference between a bar chart and a histogram.
 6.6.2.15: A categorical data set is obtained from a marketing study where con...
 6.6.2.16: An outlier is: A. A data point that the experimenter does not like ...
 6.6.2.17: When choosing an appropriate graphical method for a data set: A. Ne...
 6.6.3.1: Consider the data set given in DS 6.3.1. Calculate by hand the samp...
 6.6.3.2: Piston Rod Lengths Consider the data set of 30 piston rod lengths g...
 6.6.3.3: Physical Training Course Completion Times Consider the data set of ...
 6.6.3.4: Use a statistical software package to obtain sample statistics and ...
 6.6.3.5: Use a statistical software package to obtain sample statistics and ...
 6.6.3.6: Use a statistical software package to obtain sample statistics and ...
 6.6.3.7: Use a statistical software package to obtain sample statistics and ...
 6.6.3.8: Use a statistical software package to obtain sample statistics and ...
 6.6.3.9: Use a statistical software package to obtain sample statistics and ...
 6.6.3.10: Use a statistical software package to obtain sample statistics and ...
 6.6.3.11: Consider the data set6 7 12 18 22together with a sixth value x. Wha...
 6.6.3.12: The standard deviation is measured in the same units as the quantit...
 6.6.3.13: Consider a data set consisting of 43 different numbers. A. If the s...
 6.6.3.14: The sample mean is always denitely a better measure than the sample...
 6.6.3.15: Consider the data set 7, 9, 14, 15, 22. The sample standard deviati...
 6.6.3.16: If a histogram is skewed with a long left tail, which of the follow...
 6.6.7.1: The following data sets can be used to practice the generation and ...
 6.6.7.2: The following data sets can be used to practice the generation and ...
 6.6.7.3: The following data sets can be used to practice the generation and ...
 6.6.7.4: The following data sets can be used to practice the generation and ...
 6.6.7.5: The following data sets can be used to practice the generation and ...
 6.6.7.6: The following data sets can be used to practice the generation and ...
 6.6.7.7: The following data sets can be used to practice the generation and ...
 6.6.7.8: The following data sets can be used to practice the generation and ...
 6.6.7.9: The following data sets can be used to practice the generation and ...
 6.6.7.10: The following data sets can be used to practice the generation and ...
 6.6.7.11: The following data sets can be used to practice the generation and ...
 6.6.7.12: The following data sets can be used to practice the generation and ...
 6.6.7.13: The following data sets can be used to practice the generation and ...
 6.6.7.14: The following data sets can be used to practice the generation and ...
 6.6.7.15: The following data sets can be used to practice the generation and ...
 6.6.7.16: The following data sets can be used to practice the generation and ...
 6.6.7.17: The following data sets can be used to practice the generation and ...
 6.6.7.18: The following data sets can be used to practice the generation and ...
 6.6.7.19: The following data sets can be used to practice the generation and ...
 6.6.7.20: The following data sets can be used to practice the generation and ...
 6.6.7.21: The following data sets can be used to practice the generation and ...
 6.6.7.22: The following data sets can be used to practice the generation and ...
 6.6.7.23: Boxplots are a graphical technique for a continuous variable. A. Tr...
 6.6.7.24: Consider a data set consisting of the seven numbers 56, 32, 47, 80,...
 6.6.7.25: The word average can refer to either the sample mean or the sample ...
 6.6.7.26: The word average can refer to either the sample mean or the sample ...
 6.6.7.27: An analysis is performed of a companys daily revenues, which are $2...
 6.6.7.28: A categorical data set is obtained from a satisfaction survey where...
 6.6.7.29: About half of the data points lie between the sample lower quartile...
Solutions for Chapter 6: Descriptive Statistics
Full solutions for Probability and Statistics for Engineers and Scientists  4th Edition
ISBN: 9781111827045
Solutions for Chapter 6: Descriptive Statistics
Get Full SolutionsSince 73 problems in chapter 6: Descriptive Statistics have been answered, more than 11720 students have viewed full stepbystep solutions from this chapter. Chapter 6: Descriptive Statistics includes 73 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Probability and Statistics for Engineers and Scientists, edition: 4. Probability and Statistics for Engineers and Scientists was written by and is associated to the ISBN: 9781111827045.

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

Acceptance region
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion

All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions

Average run length, or ARL
The average number of samples taken in a process monitoring or inspection scheme until the scheme signals that the process is operating at a level different from the level in which it began.

Central composite design (CCD)
A secondorder response surface design in k variables consisting of a twolevel factorial, 2k axial runs, and one or more center points. The twolevel 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 secondorder model.

Central tendency
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.

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

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

Crossed factors
Another name for factors that are arranged in a factorial experiment.

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

Defect
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.

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.

Demingâ€™s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality

Dependent variable
The response variable in regression or a designed experiment.

Error mean square
The error sum of squares divided by its number of degrees of freedom.

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

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

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.

Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r

Generating function
A function that is used to determine properties of the probability distribution of a random variable. See Momentgenerating function