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# Solutions for Chapter 3.1: Exponential Functions and Their Graphs

## Full solutions for Precalculus | 7th Edition

ISBN: 9780618643448

Solutions for Chapter 3.1: Exponential Functions and Their Graphs

Solutions for Chapter 3.1
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##### ISBN: 9780618643448

Chapter 3.1: Exponential Functions and Their Graphs includes 85 full step-by-step solutions. Since 85 problems in chapter 3.1: Exponential Functions and Their Graphs have been answered, more than 40623 students have viewed full step-by-step solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. Precalculus was written by and is associated to the ISBN: 9780618643448. This textbook survival guide was created for the textbook: Precalculus, edition: 7.

Key Calculus Terms and definitions covered in this textbook
• Bearing

Measure of the clockwise angle that the line of travel makes with due north

• Complex number

An expression a + bi, where a (the real part) and b (the imaginary part) are real numbers

• Cycloid

The graph of the parametric equations

• Direction angle of a vector

The angle that the vector makes with the positive x-axis

• Head minus tail (HMT) rule

An arrow with initial point (x1, y1 ) and terminal point (x2, y2) represents the vector <8x 2 - x 1, y2 - y19>

• Identity properties

a + 0 = a, a ? 1 = a

• Intercepted arc

Arc of a circle between the initial side and terminal side of a central angle.

• Inverse tangent function

The function y = tan-1 x

• Matrix, m x n

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

• Odd function

A function whose graph is symmetric about the origin (ƒ(-x) = -ƒ(x) for all x in the domain of f).

• Outliers

Data items more than 1.5 times the IQR below the first quartile or above the third quartile.

• Positive angle

Angle generated by a counterclockwise rotation.

• Power rule of logarithms

logb Rc = c logb R, R 7 0.

• 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.

• Sequence of partial sums

The sequence {Sn} , where Sn is the nth partial sum of the series, that is, the sum of the first n terms of the series.

• Singular matrix

A square matrix with zero determinant

• Vertex of a parabola

The point of intersection of a parabola and its line of symmetry.

• Weighted mean

A mean calculated in such a way that some elements of the data set have higher weights (that is, are counted more strongly in determining the mean) than others.

• z-coordinate

The directed distance from the xy-plane to a point in space, or the third number in an ordered triple.