 10.2.1: Explain how to find the expected frequency for a cell in a continge...
 10.2.2: Explain the difference between marginal frequencies and joint frequ...
 10.2.3: Explain how the chisquare independence test and the chisquare goo...
 10.2.4: Explain why the chisquare independence test is always a righttail...
 10.2.5: True or False? In Exercises 5 and 6, determine whether the statemen...
 10.2.6: True or False? In Exercises 5 and 6, determine whether the statemen...
 10.2.7: Finding Expected Frequencies In Exercises 712, (a) calculate the ma...
 10.2.8: Finding Expected Frequencies In Exercises 712, (a) calculate the ma...
 10.2.9: Finding Expected Frequencies In Exercises 712, (a) calculate the ma...
 10.2.10: Finding Expected Frequencies In Exercises 712, (a) calculate the ma...
 10.2.11: Finding Expected Frequencies In Exercises 712, (a) calculate the ma...
 10.2.12: Finding Expected Frequencies In Exercises 712, (a) calculate the ma...
 10.2.13: Performing a ChiSquare Independence Test In Exercises 1322, perfor...
 10.2.14: Performing a ChiSquare Independence Test In Exercises 1322, perfor...
 10.2.15: Performing a ChiSquare Independence Test In Exercises 1322, perfor...
 10.2.16: Performing a ChiSquare Independence Test In Exercises 1322, perfor...
 10.2.17: Performing a ChiSquare Independence Test In Exercises 1322, perfor...
 10.2.18: Performing a ChiSquare Independence Test In Exercises 1322, perfor...
 10.2.19: Performing a ChiSquare Independence Test In Exercises 1322, perfor...
 10.2.20: Performing a ChiSquare Independence Test In Exercises 1322, perfor...
 10.2.21: Performing a ChiSquare Independence Test In Exercises 1322, perfor...
 10.2.22: Performing a ChiSquare Independence Test In Exercises 1322, perfor...
 10.2.23: Homogeneity of Proportions Test In Exercises 2326, use the followin...
 10.2.24: Homogeneity of Proportions Test In Exercises 2326, use the followin...
 10.2.25: Homogeneity of Proportions Test In Exercises 2326, use the followin...
 10.2.26: Homogeneity of Proportions Test In Exercises 2326, use the followin...
 10.2.27: Rewrite the contingency table using relative frequencies.
 10.2.28: What percent of U.S. adults ages 25 and over (a) have a degree and ...
 10.2.29: Explain why you cannot perform the chisquare independence test on ...
 10.2.30: Conditional Relative Frequencies In Exercises 3035, use the conting...
 10.2.31: Conditional Relative Frequencies In Exercises 3035, use the conting...
 10.2.32: Conditional Relative Frequencies In Exercises 3035, use the conting...
 10.2.33: Conditional Relative Frequencies In Exercises 3035, use the conting...
 10.2.34: Conditional Relative Frequencies In Exercises 3035, use the conting...
 10.2.35: Conditional Relative Frequencies In Exercises 3035, use the conting...
Solutions for Chapter 10.2: Independence
Full solutions for Elementary Statistics: Picturing the World  6th Edition
ISBN: 9780321911216
Solutions for Chapter 10.2: Independence
Get Full SolutionsThis textbook survival guide was created for the textbook: Elementary Statistics: Picturing the World , edition: 6. This expansive textbook survival guide covers the following chapters and their solutions. Elementary Statistics: Picturing the World was written by and is associated to the ISBN: 9780321911216. Chapter 10.2: Independence includes 35 full stepbystep solutions. Since 35 problems in chapter 10.2: Independence have been answered, more than 109243 students have viewed full stepbystep solutions from this chapter.

`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.

All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions

Average
See Arithmetic mean.

Average run length, or ARL
The average number of samples taken in a process monitoring or inspection scheme until the scheme signals that the process is operating at a level different from the level in which it began.

Axioms of probability
A set of rules that probabilities deined on a sample space must follow. See Probability

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

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

Bivariate normal distribution
The joint distribution of two normal random variables

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.

Continuity correction.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.

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

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

Covariance matrix
A square matrix that contains the variances and covariances among a set of random variables, say, X1 , X X 2 k , , … . The main diagonal elements of the matrix are the variances of the random variables and the offdiagonal elements are the covariances between Xi and Xj . Also called the variancecovariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.

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.

Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality

Expected value
The expected value of a random variable X is its longterm average or mean value. In the continuous case, the expected value of X is E X xf x dx ( ) = ?? ( ) ? ? where f ( ) x is the density function of the random variable X.

Frequency distribution
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on

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