 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
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Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.

Causal variable
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable

Chisquare (or chisquared) 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.

Coeficient of determination
See R 2 .

Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.

Conidence coeficient
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.

Consistent estimator
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.

Convolution
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.

Correlation
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.

Cumulative distribution function
For a random variable X, the function of X deined as PX x ( ) ? that is used to specify the probability distribution.

Curvilinear regression
An expression sometimes used for nonlinear regression models or polynomial regression models.

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

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.

Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.

Deming
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.

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

Error of estimation
The difference between an estimated value and the true value.

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

Harmonic mean
The harmonic mean of a set of data values is the reciprocal of the arithmetic mean of the reciprocals of the data values; that is, h n x i n i = ? ? ? ? ? = ? ? 1 1 1 1 g .