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# Solutions for Chapter 8.1: Matrices and Systems of Equations

## Full solutions for Precalculus | 7th Edition

ISBN: 9780618643448

Solutions for Chapter 8.1: Matrices and Systems of Equations

Solutions for Chapter 8.1
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##### ISBN: 9780618643448

This expansive textbook survival guide covers the following chapters and their solutions. Precalculus was written by and is associated to the ISBN: 9780618643448. Since 106 problems in chapter 8.1: Matrices and Systems of Equations have been answered, more than 35882 students have viewed full step-by-step solutions from this chapter. Chapter 8.1: Matrices and Systems of Equations includes 106 full step-by-step solutions. This textbook survival guide was created for the textbook: Precalculus, edition: 7.

Key Calculus Terms and definitions covered in this textbook
• Binomial

A polynomial with exactly two terms

• Bounded interval

An interval that has finite length (does not extend to ? or -?)

• Confounding variable

A third variable that affects either of two variables being studied, making inferences about causation unreliable

• Convenience sample

A sample that sacrifices randomness for convenience

• Ellipsoid of revolution

A surface generated by rotating an ellipse about its major axis

• Explicitly defined sequence

A sequence in which the kth term is given as a function of k.

• Fitting a line or curve to data

Finding a line or curve that comes close to passing through all the points in a scatter plot.

• Focal length of a parabola

The directed distance from the vertex to the focus.

• Identity properties

a + 0 = a, a ? 1 = a

• Inverse sine function

The function y = sin-1 x

• Logistic regression

A procedure for fitting a logistic curve to a set of data

• Matrix, m x n

A rectangular array of m rows and n columns of real numbers

• Nappe

See Right circular cone.

• Number line graph of a linear inequality

The graph of the solutions of a linear inequality (in x) on a number line

• One-to-one rule of exponents

x = y if and only if bx = by.

• Probability of an event in a finite sample space of equally likely outcomes

The number of outcomes in the event divided by the number of outcomes in the sample space.

• Scalar

A real number.

• Series

A finite or infinite sum of terms.

• Sphere

A set of points in Cartesian space equally distant from a fixed point called the center.

• Sum of two vectors

<u1, u2> + <v1, v2> = <u1 + v1, u2 + v2> <u1 + v1, u2 + v2, u3 + v3>

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