 33.1: Comparing Variation Which do you think has less variation: the IQ s...
 33.2: Correct Statements? Which of the following statements are true? a. ...
 33.3: Variation and Variance In statistics, how do the terms variation an...
 33.4: Symbols Identify the symbols used for each of the following: (a) sa...
 33.5: In Exercises 520, find the range, variance, and standard deviation ...
 33.6: In Exercises 520, find the range, variance, and standard deviation ...
 33.7: In Exercises 520, find the range, variance, and standard deviation ...
 33.8: In Exercises 520, find the range, variance, and standard deviation ...
 33.9: In Exercises 520, find the range, variance, and standard deviation ...
 33.10: In Exercises 520, find the range, variance, and standard deviation ...
 33.11: In Exercises 520, find the range, variance, and standard deviation ...
 33.12: In Exercises 520, find the range, variance, and standard deviation ...
 33.13: In Exercises 520, find the range, variance, and standard deviation ...
 33.14: In Exercises 520, find the range, variance, and standard deviation ...
 33.15: In Exercises 520, find the range, variance, and standard deviation ...
 33.16: In Exercises 520, find the range, variance, and standard deviation ...
 33.17: In Exercises 520, find the range, variance, and standard deviation ...
 33.18: In Exercises 520, find the range, variance, and standard deviation ...
 33.19: In Exercises 520, find the range, variance, and standard deviation ...
 33.20: In Exercises 520, find the range, variance, and standard deviation ...
 33.21: In Exercises 2124, find the coefficient of variation for each of th...
 33.22: In Exercises 2124, find the coefficient of variation for each of th...
 33.23: In Exercises 2124, find the coefficient of variation for each of th...
 33.24: In Exercises 2124, find the coefficient of variation for each of th...
 33.25: Large Data Sets from Appendix B. In Exercises 2528, refer to the in...
 33.26: Large Data Sets from Appendix B. In Exercises 2528, refer to the in...
 33.27: Large Data Sets from Appendix B. In Exercises 2528, refer to the in...
 33.28: Large Data Sets from Appendix B. In Exercises 2528, refer to the in...
 33.29: Estimating Standard Deviation with the Range Rule of Thumb. In Exer...
 33.30: Estimating Standard Deviation with the Range Rule of Thumb. In Exer...
 33.31: Estimating Standard Deviation with the Range Rule of Thumb. In Exer...
 33.32: Estimating Standard Deviation with the Range Rule of Thumb. In Exer...
 33.33: Identifying Unusual Values with the Range Rule of Thumb. In Exercis...
 33.34: Identifying Unusual Values with the Range Rule of Thumb. In Exercis...
 33.35: Identifying Unusual Values with the Range Rule of Thumb. In Exercis...
 33.36: Identifying Unusual Values with the Range Rule of Thumb. In Exercis...
 33.37: Finding Standard Deviation from a Frequency Distribution. In Exerci...
 33.38: Finding Standard Deviation from a Frequency Distribution. In Exerci...
 33.39: Finding Standard Deviation from a Frequency Distribution. In Exerci...
 33.40: Finding Standard Deviation from a Frequency Distribution. In Exerci...
 33.41: The Empirical Rule Based on Data Set 1 in Appendix B, blood platele...
 33.42: The Empirical Rule Based on Data Set 3 in Appendix B, body temperat...
 33.43: Chebyshev's Theorem Based on Data Set 1 in Appendix B, blood platel...
 33.44: Chebyshev's Theorem Based on Data Set 3 in Appendix B, body tempera...
 33.45: Why Divide by n 1 ? Let a population consist of the values 2 min, 3...
 33.46: Mean Absolute Deviation Use the same population of {2 min, 3 min, 8...
Solutions for Chapter 33: Measures of Variation
Full solutions for Elementary Statistics  12th Edition
ISBN: 9780321836960
Solutions for Chapter 33: Measures of Variation
Get Full SolutionsSince 46 problems in chapter 33: Measures of Variation have been answered, more than 190376 students have viewed full stepbystep solutions from this chapter. Elementary Statistics was written by and is associated to the ISBN: 9780321836960. Chapter 33: Measures of Variation includes 46 full stepbystep solutions. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 12. This expansive textbook survival guide covers the following chapters and their solutions.

`error (or `risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).

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

Bayes’ estimator
An estimator for a parameter obtained from a Bayesian method that uses a prior distribution for the parameter along with the conditional distribution of the data given the parameter to obtain the posterior distribution of the parameter. The estimator is obtained from the posterior distribution.

Bernoulli trials
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.

Causeandeffect diagram
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.

Coeficient of determination
See R 2 .

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

Counting techniques
Formulas used to determine the number of elements in sample spaces and events.

Covariance
A measure of association between two random variables obtained as the expected value of the product of the two random variables around their means; that is, Cov(X Y, ) [( )( )] =? ? E X Y ? ? X Y .

Critical value(s)
The value of a statistic corresponding to a stated signiicance level as determined from the sampling distribution. For example, if PZ z PZ ( )( .) . ? =? = 0 025 . 1 96 0 025, then z0 025 . = 1 9. 6 is the critical value of z at the 0.025 level of signiicance. Crossed factors. Another name for factors that are arranged in a factorial experiment.

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

Deining relation
A subset of effects in a fractional factorial design that deine the aliases in the design.

Dependent variable
The response variable in regression or a designed experiment.

Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.

Dispersion
The amount of variability exhibited by data

Enumerative study
A study in which a sample from a population is used to make inference to the population. See Analytic study

Fraction defective control chart
See P chart

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.

Generator
Effects in a fractional factorial experiment that are used to construct the experimental tests used in the experiment. The generators also deine the aliases.