- 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
Since 73 problems in chapter 6: Descriptive Statistics have been answered, more than 53351 students have viewed full step-by-step solutions from this chapter. Chapter 6: Descriptive Statistics includes 73 full step-by-step 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.
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Chi-square (or chi-squared) random variable
A continuous random variable that results from the sum of squares of independent standard normal random variables. It is a special case of a gamma random variable.
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Comparative experiment
An experiment in which the treatments (experimental conditions) that are to be studied are included in the experiment. The data from the experiment are used to evaluate the treatments.
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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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Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.
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Contour plot
A two-dimensional graphic used for a bivariate probability density function that displays curves for which the probability density function is constant.
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Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.
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Correlation matrix
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 .
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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
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Deming
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.
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Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality
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Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.
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Eficiency
A concept in parameter estimation that uses the variances of different estimators; essentially, an estimator is more eficient than another estimator if it has smaller variance. When estimators are biased, the concept requires modiication.
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Empirical model
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.
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Enumerative study
A study in which a sample from a population is used to make inference to the population. See Analytic study
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First-order model
A model that contains only irstorder terms. For example, the irst-order response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irst-order model is also called a main effects model
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Forward selection
A method of variable selection in regression, where variables are inserted one at a time into the model until no other variables that contribute signiicantly to the model can be found.
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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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Generating function
A function that is used to determine properties of the probability distribution of a random variable. See Moment-generating function
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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.
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Hat matrix.
In multiple regression, the matrix H XXX X = ( ) ? ? -1 . This a projection matrix that maps the vector of observed response values into a vector of itted values by yˆ = = X X X X y Hy ( ) ? ? ?1 .