- 1.2.1E: True or false: For any list of numbers, half of them will be below ...
- 1.2.2E: Is the sample mean always the most frequently occur ring value? If ...
- 1.2.3E: Is the sample mean always equal to one of the values in the sample?...
- 1.2.4E: Is the sample median always equal to one of the values in the sampl...
- 1.2.5E: Find a sample size for which the median will always equal one of th...
- 1.2.6E: For a list of positive numbers, is it possible for the standard dev...
- 1.2.7E: Is it possible for the standard deviation of a list of numbers to e...
- 1.2.8E: In a certain company, every worker received a $50- per-week raise. ...
- 1.2.9E: In another company, every worker received a 5% raise. How does this...
- 1.2.10E: A sample of 100 adult women was taken, and each was asked how many ...
- 1.2.11E: In a sample of 20 men. the mean height was 178 cm. In a sample of 3...
- 1.2.12E: Each of 16 students measured the circumference of a tennis ball by ...
- 1.2.13E: Refer to Exercise 12.a. If the measurements for one of the methods ...
- 1.2.14E: There are 10 employees in a particular division of a company. Their...
- 1.2.15E: Quartiles divide a sample into four nearly equal pieces. In general...
- 1.2.16E: In each of following data sets, tell whether the outlier seems cert...
Solutions for Chapter 1.2: Statistics for Engineers and Scientists 4th Edition
Full solutions for Statistics for Engineers and Scientists | 4th Edition
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.
An equation for a conditional probability such as PA B ( | ) in terms of the reverse conditional probability PB A ( | ).
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.
Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.
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.
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.
Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.
A dimensionless measure of the linear association between two variables, usually lying in the interval from ?1 to +1, with zero indicating the absence of correlation (but not necessarily the independence of the two variables).
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.
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.
The response variable in regression or a designed experiment.
A matrix that provides the tests that are to be conducted in an experiment.
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.
The distribution of the random variable deined as the ratio of two independent chi-square random variables, each divided by its number of degrees of freedom.
Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on
A function used in the probability density function of a gamma random variable that can be considered to extend factorials
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.