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# Solutions for Chapter 5.2: Solutions about Singular Points ## Full solutions for Advanced Engineering Mathematics | 5th Edition

ISBN: 9781449691721 Solutions for Chapter 5.2: Solutions about Singular Points

Solutions for Chapter 5.2
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##### ISBN: 9781449691721

This textbook survival guide was created for the textbook: Advanced Engineering Mathematics , edition: 5. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 5.2: Solutions about Singular Points includes 37 full step-by-step solutions. Since 37 problems in chapter 5.2: Solutions about Singular Points have been answered, more than 35033 students have viewed full step-by-step solutions from this chapter. Advanced Engineering Mathematics was written by and is associated to the ISBN: 9781449691721.

Key Statistics Terms and definitions covered in this textbook
• 2 k factorial experiment.

A full factorial experiment with k factors and all factors tested at only two levels (settings) each.

• `-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).

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).

• Alias

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

• Assignable cause

The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.

• Backward elimination

A method of variable selection in regression that begins with all of the candidate regressor variables in the model and eliminates the insigniicant regressors one at a time until only signiicant regressors remain

• Bimodal distribution.

A distribution with two modes

• Center line

A horizontal line on a control chart at the value that estimates the mean of the statistic plotted on the chart. See Control chart.

• Central tendency

The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.

• Conditional probability distribution

The distribution of a random variable given that the random experiment produces an outcome in an event. The given event might specify values for one or more other random variables

• Consistent estimator

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

• Contingency table.

A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

• Contour plot

A two-dimensional 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 trade-off between false alarms and the detection of assignable causes.

• Density function

Another name for a probability density function

• Dependent variable

The response variable in regression or a designed experiment.

• Exhaustive

A property of a collection of events that indicates that their union equals the sample space.

• Experiment

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

• Finite population correction factor

A term in the formula for the variance of a hypergeometric random variable.

• Fraction defective control chart

See P chart

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