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# Solutions for Chapter 4.5: AVERAGE COST ## Full solutions for Applied Calculus | 5th Edition

ISBN: 9781118174920 Solutions for Chapter 4.5: AVERAGE COST

Solutions for Chapter 4.5
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##### ISBN: 9781118174920

Since 15 problems in chapter 4.5: AVERAGE COST have been answered, more than 9797 students have viewed full step-by-step solutions from this chapter. Applied Calculus was written by Patricia and is associated to the ISBN: 9781118174920. This textbook survival guide was created for the textbook: Applied Calculus, edition: 5. Chapter 4.5: AVERAGE COST includes 15 full step-by-step solutions. This expansive textbook survival guide covers the following chapters and their solutions.

Key Calculus Terms and definitions covered in this textbook
• Addition principle of probability.

P(A or B) = P(A) + P(B) - P(A and B). If A and B are mutually exclusive events, then P(A or B) = P(A) + P(B)

• artesian coordinate system

An association between the points in a plane and ordered pairs of real numbers; or an association between the points in three-dimensional space and ordered triples of real numbers

• Factoring (a polynomial)

Writing a polynomial as a product of two or more polynomial factors.

• Function

A relation that associates each value in the domain with exactly one value in the range.

• Heron’s formula

The area of ¢ABC with semiperimeter s is given by 2s1s - a21s - b21s - c2.

• Hypotenuse

Side opposite the right angle in a right triangle.

• Imaginary part of a complex number

See Complex number.

• Increasing on an interval

A function ƒ is increasing on an interval I if, for any two points in I, a positive change in x results in a positive change in.

• Limit at infinity

limx: qƒ1x2 = L means that ƒ1x2 gets arbitrarily close to L as x gets arbitrarily large; lim x:- q ƒ1x2 means that gets arbitrarily close to L as gets arbitrarily large

• Line graph

A graph of data in which consecutive data points are connected by line segments

• Linear programming problem

A method of solving certain problems involving maximizing or minimizing a function of two variables (called an objective function) subject to restrictions (called constraints)

• Multiplicative inverse of a matrix

See Inverse of a matrix

• Natural logarithmic regression

A procedure for fitting a logarithmic curve to a set of data.

• Normal distribution

A distribution of data shaped like the normal curve.

• Ordered set

A set is ordered if it is possible to compare any two elements and say that one element is “less than” or “greater than” the other.

• Product of complex numbers

(a + bi)(c + di) = (ac - bd) + (ad + bc)i

• Quotient of functions

a ƒ g b(x) = ƒ(x) g(x) , g(x) ? 0

• Standard unit vectors

In the plane i = <1, 0> and j = <0,1>; in space i = <1,0,0>, j = <0,1,0> k = <0,0,1>

• Vertex of a cone

See Right circular cone.

• Vertical line test

A test for determining whether a graph is a function.

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