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# Solutions for Chapter 6: Elementary Statistics: A Step By Step Approach 9th Edition ## Full solutions for Elementary Statistics: A Step By Step Approach | 9th Edition

ISBN: 9780073534985 Solutions for Chapter 6

Solutions for Chapter 6
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##### ISBN: 9780073534985

This textbook survival guide was created for the textbook: Elementary Statistics: A Step By Step Approach , edition: 9. Since 62 problems in chapter 6 have been answered, more than 126591 students have viewed full step-by-step solutions from this chapter. Elementary Statistics: A Step By Step Approach was written by and is associated to the ISBN: 9780073534985. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 6 includes 62 full step-by-step solutions.

Key Statistics Terms and definitions covered in this textbook
• a-error (or a-risk)

In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error).

• Analysis of variance (ANOVA)

A method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variation

• Attribute control chart

Any control chart for a discrete random variable. See Variables control chart.

• Categorical data

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

• Causal variable

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

• Coeficient of determination

See R 2 .

• Combination.

A subset selected without replacement from a set used to determine the number of outcomes in events and sample spaces.

• Conditional mean

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

• Consistent estimator

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

• Cook’s distance

In regression, Cook’s distance is a measure of the inluence of each individual observation on the estimates of the regression model parameters. It expresses the distance that the vector of model parameter estimates with the ith observation removed lies from the vector of model parameter estimates based on all observations. Large values of Cook’s distance indicate that the observation is inluential.

• Curvilinear regression

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

• Density function

Another name for a probability density function

• Erlang random variable

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

• Experiment

A series of tests in which changes are made to the system under study

• Exponential random variable

A series of tests in which changes are made to the system under study

• F distribution.

The distribution of the random variable deined as the ratio of two independent chi-square 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

• Fraction defective control chart

See P chart

• Generating function

A function that is used to determine properties of the probability distribution of a random variable. See Moment-generating function

• Geometric random variable

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

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