 143.1: Define simulation technique.
 143.2: Have simulation techniques been used for very many years?
 143.3: Is it costeffective to do simulation testing on some things such a...
 143.4: Why might simulation testing be better than reallife testing? Give...
 143.5: When did physicists develop computer simulation techniques to study...
 143.6: When could simulations be misleading or harmful? Give examples.
 143.7: Could simulations have prevented previous disasters such as the Hin...
 143.8: What discipline is simulation theory based on?
 143.1: Define simulation techniques.
 143.2: Define simulation techniques.
 143.3: Who is responsible for the development of modern simulation techniq...
 143.4: What role does the computer play in simulation?
 143.5: What are the steps in the simulation of an experiment?
 143.6: What purpose do random numbers play in simulation?
 143.7: What happens when the number of repetitions is increased?
 143.8: For Exercises 8 through 13, explain how each experiment can be simu...
 143.9: For Exercises 8 through 13, explain how each experiment can be simu...
 143.10: For Exercises 8 through 13, explain how each experiment can be simu...
 143.11: For Exercises 8 through 13, explain how each experiment can be simu...
 143.12: For Exercises 8 through 13, explain how each experiment can be simu...
 143.13: For Exercises 8 through 13, explain how each experiment can be simu...
 143.14: For Exercises 14 through 21, use random numbers to simulate the exp...
 143.15: For Exercises 14 through 21, use random numbers to simulate the exp...
 143.16: For Exercises 14 through 21, use random numbers to simulate the exp...
 143.17: For Exercises 14 through 21, use random numbers to simulate the exp...
 143.18: For Exercises 14 through 21, use random numbers to simulate the exp...
 143.19: For Exercises 14 through 21, use random numbers to simulate the exp...
 143.20: For Exercises 14 through 21, use random numbers to simulate the exp...
 143.21: For Exercises 14 through 21, use random numbers to simulate the exp...
 143.22: Which would be easier to simulate with random numbers, baseball or ...
 143.23: Explain how cards can be used to generate random numbers.
 143.24: Explain how a pair of dice can be used to generate random numbers.
Solutions for Chapter 143: Sampling and Simulation
Full solutions for Elementary Statistics: A Step by Step Approach  7th Edition
ISBN: 9780073534978
Solutions for Chapter 143: Sampling and Simulation
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. Since 32 problems in chapter 143: Sampling and Simulation have been answered, more than 13409 students have viewed full stepbystep solutions from this chapter. Chapter 143: Sampling and Simulation includes 32 full stepbystep solutions. Elementary Statistics: A Step by Step Approach was written by and is associated to the ISBN: 9780073534978. This textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach, edition: 7.

Addition rule
A formula used to determine the probability of the union of two (or more) events from the probabilities of the events and their intersection(s).

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.

Bivariate normal distribution
The joint distribution of two normal random variables

Coeficient of determination
See R 2 .

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

Continuous random variable.
A random variable with an interval (either inite or ininite) of real numbers for its range.

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

Decision interval
A parameter in a tabular CUSUM algorithm that is determined from a tradeoff between false alarms and the detection of assignable causes.

Discrete distribution
A probability distribution for a discrete random variable

Dispersion
The amount of variability exhibited by data

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

Error propagation
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.

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.

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

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.

Fraction defective
In statistical quality control, that portion of a number of units or the output of a process that is defective.

Fractional factorial experiment
A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.

Gamma function
A function used in the probability density function of a gamma random variable that can be considered to extend factorials

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.