 4.5.1BSC: Subjective Probabilitya. Estimate the probability that on the next ...
 4.5.2BSC: Conditional Probability What is a conditional probability?
 4.5.3BSC: Notation Let event A = subject is telling the truth and event B = p...
 4.5.4BSC: Confusion of the Inverse Using the same events A and B described in...
 4.5.5BSC: Describing Complements. In Exercises, provide a written description...
 4.5.6BSC: Describing Complements. In Exercises, provide a written description...
 4.5.7BSC: Describing Complements. ?In Exercises?, ?provide a written descript...
 4.5.8BSC: Describing Complements. In Exercises, provide a written description...
 4.5.9BSC: At Least One Correct Answer If you make random guesses for 10 multi...
 4.5.10BSC: At Least One Working Calculator A statistics student plans to use a...
 4.5.11BSC: Probability of a Girl Assuming that boys and girls are equally like...
 4.5.12BSC: At Least One Correct Answer If you make random guesses for 10 multi...
 4.5.13BSC: Births in the United States In the United States, the true probabil...
 4.5.14BSC: Births in China In China, the probability of a baby being a boy is ...
 4.5.15BSC: Car Crashes The probability of a randomly selected car crashing dur...
 4.5.16BSC: Cleared Burglaries According to FBI data, 12.4% of burglaries are c...
 4.5.17BSC: WiFi Based on a poll conducted through the eedition of USA Today,...
 4.5.18BSC: Compliments at Work Based on a poll conducted through email by USA...
 4.5.19BSC: In Exercises, refer to Table, included with the Chapter Problem. In...
 4.5.20BSC: In Exercises, refer to Table, included with the Chapter Problem. In...
 4.5.21BSC: In Exercises, refer to Table, included with the Chapter Problem. In...
 4.5.22BSC: In Exercises, refer to Table, included with the Chapter Problem. In...
 4.5.23BSC: In Exercises, refer to Table, included with the Chapter Problem. In...
 4.5.24BSC: In Exercises, refer to Table, included with the Chapter Problem. In...
 4.5.25BSC: Identical and Fraternal Twins.use the data in the following table. ...
 4.5.26BSC: Negative Predictive ValueFind the negative predictive value for the...
 4.5.27BSC: Identical and Fraternal Twins.use the data in the following table. ...
 4.5.28BSC: Negative Predictive ValueFind the negative predictive value for the...
 4.5.29BSC: Redundancy in Computer Hard Drives Assume that there is a 2% rate o...
 4.5.30BSC: Redundancy in Aircraft Radios The FAA requires that commercial airc...
 4.5.31BSC: Composite Drug Screening Based on the data in Table, assume that th...
 4.5.32BSC: Composite Water Samples The Fairfield County Department of Public H...
 4.5.33BB: Shared BirthdaysBind the probability that or 25 randomly selected p...
 4.5.34BB: Unseen CoinsA statistics professor tosses two coins that cannot be ...
 4.5.35BB: Confusion of the Inverse In one study, physicians were asked to est...
Solutions for Chapter 4.5: Elementary Statistics 12th Edition
Full solutions for Elementary Statistics  12th Edition
ISBN: 9780321836960
Solutions for Chapter 4.5
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. Elementary Statistics was written by and is associated to the ISBN: 9780321836960. Since 35 problems in chapter 4.5 have been answered, more than 213950 students have viewed full stepbystep solutions from this chapter. Chapter 4.5 includes 35 full stepbystep solutions. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 12.

Bimodal distribution.
A distribution with two modes

Block
In experimental design, a group of experimental units or material that is relatively homogeneous. The purpose of dividing experimental units into blocks is to produce an experimental design wherein variability within blocks is smaller than variability between blocks. This allows the factors of interest to be compared in an environment that has less variability than in an unblocked experiment.

Categorical data
Data consisting of counts or observations that can be classiied into categories. The categories may be descriptive.

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.

Chance cause
The portion of the variability in a set of observations that is due to only random forces and which cannot be traced to speciic sources, such as operators, materials, or equipment. Also called a common cause.

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

Conditional probability distribution
The distribution of a random variable given that the random experiment produces an outcome in an event. The given event might specify values for one or more other random variables

Contour plot
A twodimensional graphic used for a bivariate probability density function that displays curves for which the probability density function is constant.

Cumulative normal distribution function
The cumulative distribution of the standard normal distribution, often denoted as ?( ) x and tabulated in Appendix Table II.

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.

Discrete random variable
A random variable with a inite (or countably ininite) range.

Distribution function
Another name for a cumulative distribution function.

Empirical model
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.

Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.

False alarm
A signal from a control chart when no assignable causes are present

Firstorder model
A model that contains only irstorder terms. For example, the irstorder response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irstorder model is also called a main effects model

Fisherâ€™s least signiicant difference (LSD) method
A series of pairwise hypothesis tests of treatment means in an experiment to determine which means differ.

Gaussian distribution
Another name for the normal distribution, based on the strong connection of Karl F. Gauss to the normal distribution; often used in physics and electrical engineering applications

Geometric mean.
The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .

Geometric random variable
A discrete random variable that is the number of Bernoulli trials until a success occurs.