Math III · F-BF.1.b

Combining Studied Function Types Arithmetically to Build Models

Real models are often assembled from parts: baseline plus change, revenue minus cost, polynomial shape plus correction, or several effects acting together.

Concept Functions
Domain Building Functions
Read time 7 minutes

What this learning objective is really asking you to learn

This objective asks students to combine studied function types arithmetically to build models. Students have already learned that functions can be added, subtracted, multiplied, and divided. In Math III, the function library is broader. Students may combine polynomial, rational, radical, exponential, logarithmic, absolute-value, piecewise, or other studied function types.

The main idea is model assembly. Real systems are often made of multiple parts. One function may represent revenue. Another may represent cost. Subtracting gives profit. One function may represent a baseline. Another may represent a changing deviation. Adding gives total behavior. One function may represent a dimension. Another may represent another dimension. Multiplying gives area or volume. One function may represent total output. Dividing by input gives average output.

For example, if

\[R(x) = 50x\]

is revenue and

\[C(x) = 1000 + 20x + 0.1x^2\]

is cost, then profit is

\[P(x) = R(x) - C(x)\].

So

\[P(x) = 50x - (1000 + 20x + 0.1x^2)\].

This simplifies to

\[P(x) = -0.1x^2 + 30x - 1000\].

The combined function has meaning: money in minus money out.

Another example: if a room's baseline temperature is 70, and a heating effect is modeled by \(15(0.8)^t\), then

\[T(t) = 70 + 15(0.8)^t\]

models temperature approaching 70 as the extra heat fades.

This objective is asking students to understand that functions are building blocks. Arithmetic operations combine their outputs into new models.

Why students should learn this math

Students should learn this because real situations rarely come from one simple function. A useful model often combines several effects. Total cost may include fixed cost, linear variable cost, and nonlinear overhead. Population change may include growth and migration. A temperature model may include a baseline and a decaying difference. A financial model may include deposits, interest, fees, and withdrawals. A physics model may include several force components.

Combining functions teaches students to think modularly. Instead of trying to invent one giant formula at once, build smaller functions for parts of the situation and combine them. This is how engineers, data analysts, economists, scientists, and programmers work. Complex systems are built from components.

The operation matters. Addition represents total combined effects. Subtraction represents difference, net change, error, or profit. Multiplication can represent area, scaling, interaction, or combined dimensions. Division can represent averages, rates, densities, efficiencies, or ratios. The operation should match the meaning.

This objective also prepares students for advanced function operations. In calculus, sums, products, quotients, and compositions of functions have different derivative rules. In statistics, models often combine predictors additively. In computer science, functions are composed and combined constantly. In physics, components combine to produce net effects.

The “why” is that function combination is the mathematics of systems made from parts. It is how students move from isolated function families to real modeling.

The historical machinery: modular models

Mathematics often builds complex objects from simpler ones. Polynomials are sums of power terms. Fourier series build complicated waves from sine and cosine functions. Statistical models combine variables to predict outcomes. Physical models combine forces, energies, and constraints. Computer programs combine smaller functions into larger systems.

Function arithmetic is a basic version of this modular thinking. If two functions describe two quantities with the same input, their sum, difference, product, or quotient may describe a meaningful new quantity. The power comes from abstraction: once a function is defined, it can be treated as an object and combined with others.

This modular view is one of the reasons functions became central to modern mathematics. They are not only formulas to evaluate; they are objects that can be transformed, combined, inverted, approximated, and analyzed.

Where this fits in the big map of mathematics

This objective extends earlier function-building work. Objective 016 introduced combining standard functions in Math I. Objective 150 applies the same idea across the broader Math III function toolkit.

It connects to expression interpretation. Before combining functions, students must know what each component represents.

It connects to domain. The domain of a combined function must respect the domains of the components and any new restrictions from division.

It connects to modeling. The operation must match the real meaning: total, difference, product, ratio, or average.

It connects to graphing. Combining functions changes graph behavior. A baseline plus exponential decay shifts the graph. Revenue minus cost creates profit. A polynomial divided by another polynomial creates rational behavior.

It connects forward to transformations, inverse functions, advanced function comparison, and calculus.

The big-map role is model assembly. Students learn to construct larger models from smaller function pieces.

How to execute the skill technically

Use this routine:

  1. Define each component function.
  2. Confirm the input means the same thing for each function.
  3. Decide the operation based on meaning.
  4. Build the combined function.
  5. Simplify if useful.
  6. Determine domain restrictions.
  7. Interpret the result.

Example: Revenue and cost.

\[R(x) = 30x\].
\[C(x) = 500 + 12x\].

Profit is

\[P(x) = R(x) - C(x)\].

So

\[P(x) = 30x - (500 + 12x) = 18x - 500\].

The domain may be nonnegative integers if \(x\) is items sold. The x-intercept of profit is the break-even point.

Example: average value.

If total distance is \(d(t)\) and time is \(t\), average speed over a trip may be modeled by \(d(t)/t\), with \(t > 0\). Division creates a rate.

Example: combined area.

If length is \(L(x) = x + 3\) and width is \(W(x) = 2x - 1\), area is

\[A(x) = L(x)W(x) = (x + 3)(2x - 1)\].

Multiplying gives

\[A(x) = 2x^2 + 5x - 3\].

The product of two linear dimensions creates a quadratic area model.

Worked example: baseline plus decay

A cup of coffee is 90°F above room temperature at time 0. The extra temperature decreases by 15% each minute. Room temperature is 70°F. Build a function for coffee temperature.

Let \(t\) be minutes. The extra temperature is

\[E(t) = 90(0.85)^t\].

The baseline room temperature is

\[B(t) = 70\].

Total temperature is

\[T(t) = B(t) + E(t)\].

So

\[T(t) = 70 + 90(0.85)^t\].

This model is a constant function plus an exponential decay function. The graph approaches 70 as \(t\) increases. The 70 is not a random vertical shift; it is the environmental baseline.

Worked example: error function

Suppose an observed value is modeled by \(O(t) = 3t + 10\), and a predicted value is modeled by \(P(t) = 2.8t + 12\). The error can be modeled as

\[E(t) = O(t) - P(t)\].

So

\[E(t) = (3t + 10) - (2.8t + 12) = 0.2t - 2\].

This function measures observed minus predicted. When \(E(t)=0\), the model and observation agree. When \(E(t)>0\), observed is higher than predicted. When \(E(t)<0\), observed is lower. Function subtraction becomes a tool for model evaluation.

Domain of combined functions

The domain of a combined function must respect all component domains. For sums, differences, and products, the domain is usually the intersection of the component domains. For quotients, also exclude values where the denominator function equals zero.

If

\[f(x) = \sqrt{x - 1}\]

and

\[g(x) = 1/(x - 4)\],

then \(f(x) + g(x)\) requires \(x \ge 1\) and \(x \ne 4\).

The quotient \(f(x)/g(x)\) would also require \(g(x) \ne 0\). In this case \(g(x)\) is never zero, but the denominator of \(g\) still excludes \(x = 4\).

Students should not combine formulas and forget domains. The model is only valid where all pieces are valid.

Choosing operation by meaning

The biggest modeling skill is choosing the operation. Use addition for totals, subtraction for differences or net values, multiplication for scaling or combined dimensions, and division for rates or averages. The operation is not chosen by appearance; it is chosen by what the situation means.

Combining different function families

Math III students should be comfortable combining different function types. For example, a model might combine a linear baseline and a sinusoidal seasonal adjustment later in the course. Or it might combine a polynomial trend and a rational correction. Even when the formal focus is not trigonometry yet, the modeling idea is the same: different effects can have different mathematical shapes.

Example: A product's baseline demand grows linearly:

\[B(t) = 1000 + 50t\].

A temporary novelty effect decays exponentially:

\[N(t) = 300(0.7)^t\].

Total demand is

\[D(t) = B(t) + N(t) = 1000 + 50t + 300(0.7)^t\].

This combined model says demand has a growing baseline plus a fading launch boost. No single basic parent function tells the whole story.

Product, quotient, and interaction meaning

Addition and subtraction are easiest to interpret, but multiplication and division are equally important. Multiplication can represent interaction. If price is \(p(x)\) and quantity sold is \(q(x)\), revenue can be

\[R(x) = p(x)q(x)\].

If total cost is \(C(x)\) and quantity is \(x\), average cost is

\[A(x) = C(x)/x\].

If a concentration is amount divided by volume, that is also a quotient model.

Students should learn to map operations to meanings:

  • sum → total combined amount;
  • difference → net value, error, or comparison;
  • product → area, scaling, interaction, revenue;
  • quotient → average, rate, density, efficiency.

Common domain trap

Suppose

\[f(x) = \sqrt{x + 2}\]

and

\[g(x) = x - 3\].

The product \(f(x)g(x)\) has domain \(x \ge -2\). The quotient \(g(x)/f(x)\) has domain \(x > -2\), because the denominator cannot be zero and \(f(-2)=0\). A small operation change can change the domain. This is why combined functions require domain analysis.

Problem Library

Problems in the App From This Objective

186 problems across 15 archetypes in the app.

form `(f+g)(x)` and interpret.
12 problems Warmup Practice Mixed Review Assessment
Problem 1

Add the advanced functions f(x)=x^2 and g(x)=3x+5, then interpret the combined output.

Problem 2

Add the advanced functions f(x)=100(1.02)^x and g(x)=50, then interpret the combined output.

Problem 3

Add the advanced functions f(x)=sqrt(x-1) and g(x)=ln(x), then interpret the combined output.

Problem 4

Add the advanced functions f(x)=1/x and g(x)=x^2, then interpret the combined output.

Problem 5

Add the advanced functions f(x)=2x^3-x and g(x)=5x^2+7, then interpret the combined output.

Problem 6

Add the advanced functions f(x)=1/(x+1) and g(x)=1/(x-1), then interpret the combined output.

Problem 7

Add the advanced functions f(x)=sqrt(x) and g(x)=x^3, then interpret the combined output.

Problem 8

Add the advanced functions f(x)=e^x and g(x)=log(x+2), then interpret the combined output.

Problem 9

Add the advanced functions f(x)=|x| and g(x)=x^2-4, then interpret the combined output.

Problem 10

Add the advanced functions f(x)=sqrt(4-x) and g(x)=x, then interpret the combined output.

Open in simulator
Problem 11

Add the advanced functions f(x)=3/(x-2) and g(x)=5, then interpret the combined output.

Problem 12

Add the advanced functions f(x)=2^x and g(x)=3^(x-1), then interpret the combined output.

form `(f-g)(x)` and interpret sign.
12 problems Warmup Practice Mixed Review Assessment
Problem 13

Subtract advanced functions to model the difference: f(x)=x^2+10 minus g(x)=3x.

Problem 14

Subtract advanced functions to model the difference: f(x)=500(0.9)^x minus g(x)=300.

Problem 15

Subtract advanced functions to model the difference: f(x)=ln(x) minus g(x)=sqrt(x-2).

Problem 16

Subtract advanced functions to model the difference: f(x)=1/(x-1) minus g(x)=x.

Problem 17

Subtract advanced functions to model the difference: f(x)=x^3-2x minus g(x)=x^2+5.

Problem 18

Subtract advanced functions to model the difference: f(x)=1/(x+2) minus g(x)=1/(x-2).

Problem 19

Subtract advanced functions to model the difference: f(x)=e^(2x) minus g(x)=e^x.

Problem 20

Subtract advanced functions to model the difference: f(x)=log(x+1) minus g(x)=log(x).

Problem 21

Subtract advanced functions to model the difference: f(x)=|x| minus g(x)=2.

Problem 22

Subtract advanced functions to model the difference: f(x)=sqrt(x+5) minus g(x)=sqrt(x).

Problem 23

Subtract advanced functions to model the difference: f(x)=x^2 minus g(x)=1/x.

Open in simulator
Problem 24

Subtract advanced functions to model the difference: f(x)=sin(x) minus g(x)=cos(x).

interpret product function in context.
12 problems Warmup Practice Mixed Review Assessment
Problem 25

Multiply advanced functions f(x)=x+3 and g(x)=x-2 to model a product quantity.

Problem 26

Multiply advanced functions f(x)=p(x) dollars per unit and g(x)=q(x) units to model a product quantity.

Problem 27

Multiply advanced functions f(x)=sqrt(x) and g(x)=x+1 to model a product quantity.

Problem 28

Multiply advanced functions f(x)=e^x and g(x)=ln(x) to model a product quantity.

Problem 29

Multiply advanced functions f(x)=x^2 and g(x)=x-1 to model a product quantity.

Problem 30

Multiply advanced functions f(x)=(x+1)/(x-2) and g(x)=x-2 to model a product quantity.

Problem 31

Multiply advanced functions f(x)=sin(x) and g(x)=cos(x) to model a product quantity.

Open in simulator
Problem 32

Multiply advanced functions f(x)=2^x and g(x)=3^x to model a product quantity.

Problem 33

Multiply advanced functions f(x)=sqrt(x-1) and g(x)=sqrt(x+1) to model a product quantity.

Problem 34

Multiply advanced functions f(x)=x+5 and g(x)=x^2-3x+2 to model a product quantity.

Problem 35

Multiply advanced functions f(x)=1/x and g(x)=x^2+1 to model a product quantity.

Problem 36

Multiply advanced functions f(x)=x^2 and g(x)=ln(x) to model a product quantity.

form quotient and state restrictions.
12 problems Warmup Practice Mixed Review Assessment
Problem 37

Divide advanced functions C(x)=500+8x by x to model a rate or average.

Problem 38

Divide advanced functions d(t)=120t by t to model a rate or average.

Problem 39

Divide advanced functions m(V)=2.7V by V to model a rate or average.

Problem 40

Divide advanced functions f(x)=sqrt(x+1) by g(x)=x-3 to model a rate or average.

Problem 41

Divide advanced functions f(x)=x^2-9 by g(x)=x-3 to model a rate or average.

Problem 42

Divide advanced functions A(r)=pi*r^2 by r to model a rate or average.

Open in simulator
Problem 43

Divide advanced functions P(t)=1000e^(0.05t) by t to model a rate or average.

Problem 44

Divide advanced functions f(x)=x^2+5x+6 by g(x)=x+2 to model a rate or average.

Problem 45

Divide advanced functions f(x)=sqrt(x-4) by g(x)=x-6 to model a rate or average.

Problem 46

Divide advanced functions f(x)=1/(x+2) by g(x)=x to model a rate or average.

Problem 47

Divide advanced functions f(x)=ln(x-1) by g(x)=x-2 to model a rate or average.

Problem 48

Divide advanced functions f(x)=sin(x) by g(x)=cos(x) to model a rate or average.

represent baseline plus reciprocal/rate effect.
15 problems Warmup Practice Mixed Review Assessment
Problem 49

Combine a polynomial baseline with a rational effect for average cost with fixed and variable costs.

Open in simulator
Problem 50

Combine a polynomial baseline with a rational effect for height trend plus reciprocal correction.

Problem 51

Combine a polynomial baseline with a rational effect for concentration after adding x liters.

Problem 52

Combine a polynomial baseline with a rational effect for baseline quadratic plus inverse drag term.

Problem 53

Combine a polynomial baseline with a rational effect for intensity of light from a source plus background noise.

Problem 54

Combine a polynomial baseline with a rational effect for population growth with a limiting factor.

Problem 55

Combine a polynomial baseline with a rational effect for cost function with a fixed setup cost and a cost related to production bottleneck.

Problem 56

Combine a polynomial baseline with a rational effect for volume change with a specific correction factor.

Problem 57

Combine a polynomial baseline with a rational effect for signal strength with a constant offset and a frequency-dependent attenuation.

Problem 58

Combine a polynomial baseline with a rational effect for average cost per unit including a fixed cost and a variable cost that is quadratic.

Problem 59

Combine a polynomial baseline with a rational effect for rate of reaction with a catalyst concentration.

Problem 60

Combine a polynomial baseline with a rational effect for temperature change with a rapid initial drop and stabilization.

Problem 61

Combine a polynomial baseline with a rational effect for deflection of a beam under load near a support.

Problem 62

Combine a polynomial baseline with a rational effect for drug concentration over time with a complex absorption and elimination.

Problem 63

Combine a polynomial baseline with a rational effect for efficiency of an engine with varying load.

preserve radical domain and contextual meaning.
12 problems Warmup Practice Mixed Review Assessment
Problem 64

Combine a polynomial and radical function for distance from point on x-axis to a fixed point and linear cost.

Problem 65

Combine a polynomial and radical function for side length sqrt(A) plus frame width x.

Problem 66

Combine a polynomial and radical function for speed sqrt(2gh) with polynomial height h(t).

Open in simulator
Problem 67

Combine a polynomial and radical function for quadratic base area plus square-root edge correction.

Problem 68

Combine a polynomial and radical function for area of a rectangle with one side length x^2 and the other sqrt(x+5).

Problem 69

Combine a polynomial and radical function for perimeter of a shape with sides x^3, 2x, and sqrt(x-1).

Problem 70

Combine a polynomial and radical function for total cost for an item with a fixed cost 10 plus a cost based on sqrt(n^2+4) and an additional 3n.

Problem 71

Combine a polynomial and radical function for volume of a cone with radius x and height sqrt(x^2-4).

Problem 72

Combine a polynomial and radical function for difference between a quadratic growth x^2 and a diminishing factor sqrt(x+10).

Problem 73

Combine a polynomial and radical function for average rate of change of a quantity x^3+5 over a period sqrt(x-3).

Problem 74

Combine a polynomial and radical function for total energy of a particle with kinetic energy 0.5x^2 and potential energy sqrt(x+2).

Problem 75

Combine a polynomial and radical function for revenue from x units sold, where the price per unit is x + sqrt(x-5).

represent inverse-scale or growth-adjusted relationships.
15 problems Warmup Practice Mixed Review Assessment
Problem 76

Combine exponential and logarithmic functions for population growth adjusted by log resource limit.

Problem 77

Combine exponential and logarithmic functions for sound intensity and exponential distance factor.

Problem 78

Combine exponential and logarithmic functions for investment growth with log fee scale.

Problem 79

Combine exponential and logarithmic functions for pH-like log measure with exponential concentration decay.

Problem 80

Combine exponential and logarithmic functions for drug concentration decay with log-scale side effect accumulation.

Problem 81

Combine exponential and logarithmic functions for bacterial growth with log-scale antibiotic resistance development.

Problem 82

Combine exponential and logarithmic functions for light intensity in water with log-scale turbidity increase.

Problem 83

Combine exponential and logarithmic functions for memory recall with log-scale interference.

Open in simulator
Problem 84

Combine exponential and logarithmic functions for atmospheric pressure with log-scale humidity adjustment.

Problem 85

Combine exponential and logarithmic functions for radioactive decay with log-scale background noise.

Problem 86

Combine exponential and logarithmic functions for signal strength with log-scale path loss variation.

Problem 87

Combine exponential and logarithmic functions for chemical reaction yield with log-scale catalyst degradation.

Problem 88

Combine exponential and logarithmic functions for vehicle depreciation with log-scale maintenance cost.

Problem 89

Combine exponential and logarithmic functions for water purity decay with log-scale contaminant accumulation.

Problem 90

Combine exponential and logarithmic functions for temperature of a cooling object with log-scale insulation breakdown.

substitute and simplify with domain checks.
12 problems Warmup Practice Mixed Review Assessment
Problem 91

Evaluate the combined advanced function expression (f+g)(2) where f(x)=x^2 and g(x)=3x+1 at 2.

Problem 92

Evaluate the combined advanced function expression (f/g)(4) where f(x)=sqrt(x+5) and g(x)=x-1 at 4.

Problem 93

Evaluate the combined advanced function expression (fg)(1) where f(x)=e^x and g(x)=ln(x+1) at 1.

Problem 94

Evaluate the combined advanced function expression (f-g)(0) where f(x)=1/(x+2) and g(x)=x^2 at 0.

Problem 95

Evaluate the combined advanced function expression (f-g)(5) where f(x)=sqrt(x-1) and g(x)=x^2 at 5.

Problem 96

Evaluate the combined advanced function expression (f+g)(1) where f(x)=e^(x-1) and g(x)=1/x at 1.

Open in simulator
Problem 97

Evaluate the combined advanced function expression (fg)(e) where f(x)=ln(x) and g(x)=x+2 at e.

Problem 98

Evaluate the combined advanced function expression (f/g)(3) where f(x)=x^2+1 and g(x)=x-3 at 3.

Problem 99

Evaluate the combined advanced function expression (f+g)(-1) where f(x)=|x-3| and g(x)=x^2 at -1.

Problem 100

Evaluate the combined advanced function expression (f-g)(pi/2) where f(x)=sin(x) and g(x)=cos(x) at pi/2.

Problem 101

Evaluate the combined advanced function expression (fg)(1) where f(x)=2/(x+1) and g(x)=5 at 1.

Problem 102

Evaluate the combined advanced function expression (f/g)(2) where f(x)=sqrt(x-5) and g(x)=x+1 at 2.

combine outputs for common inputs.
12 problems Warmup Practice Mixed Review Assessment
Problem 103

Evaluate the combined function operation f+g using table or graph values at input 3.

Problem 104

Evaluate the combined function operation f-g using table or graph values at input 1.

Problem 105

Evaluate the combined function operation fg using table or graph values at input 4.

Problem 106

Evaluate the combined function operation f/g using table or graph values at input 2.

Problem 107

Evaluate the combined function operation f+g using table or graph values at input 5.

Problem 108

Evaluate the combined function operation f-g using table or graph values at input 0.

Problem 109

Evaluate the combined function operation fg using table or graph values at input -1.

Problem 110

Evaluate the combined function operation f/g using table or graph values at input 6.

Problem 111

Evaluate the combined function operation f+g using table or graph values at input -2.

Problem 112

Evaluate the combined function operation f-g using table or graph values at input 7.

Open in simulator
Problem 113

Evaluate the combined function operation fg using table or graph values at input 9.

Problem 114

Evaluate the combined function operation f/g using table or graph values at input 8.

intersect domains and exclude quotient zeros.
12 problems Warmup Practice Mixed Review Assessment
Problem 115

Determine the domain of the combined function sqrt(x-2)+ln(x+1).

Problem 116

Determine the domain of the combined function sqrt(x+4)/(x-5).

Problem 117

Determine the domain of the combined function ln(x)/(x^2-9).

Problem 118

Determine the domain of the combined function sqrt(9-x^2)+1/(x+1).

Problem 119

Determine the domain of the combined function sqrt(x+5)+ln(x-3).

Problem 120

Determine the domain of the combined function sqrt(x-1)/(x-4).

Problem 121

Determine the domain of the combined function ln(x+2)/(x^2-4).

Open in simulator
Problem 122

Determine the domain of the combined function sqrt(25-x^2)+1/(x-3).

Problem 123

Determine the domain of the combined function ln(x-1)+ln(x+5).

Problem 124

Determine the domain of the combined function 1/sqrt(x-3).

Problem 125

Determine the domain of the combined function x/ln(x).

Problem 126

Determine the domain of the combined function sqrt(x+1)/ln(x).

distinguish total, difference, product, ratio, and adjustment.
12 problems Warmup Practice Mixed Review Assessment
Problem 127

Choose the function operation that matches this context: total cost is material cost plus labor cost.

Problem 128

Choose the function operation that matches this context: profit is revenue minus cost.

Open in simulator
Problem 129

Choose the function operation that matches this context: area equals length times width.

Problem 130

Choose the function operation that matches this context: average cost equals total cost divided by number of items.

Problem 131

Choose the function operation that matches this context: The combined weight of two packages is the weight of the first package plus the weight of the second package.

Problem 132

Choose the function operation that matches this context: The difference in height between two buildings is the height of the taller building minus the height of the shorter building.

Problem 133

Choose the function operation that matches this context: The total earnings are the hourly wage multiplied by the number of hours worked.

Problem 134

Choose the function operation that matches this context: The density of an object is its mass divided by its volume.

Problem 135

Choose the function operation that matches this context: The total attendance for a concert is the number of adults plus the number of children.

Problem 136

Choose the function operation that matches this context: The remaining quantity after consumption is the initial quantity less the consumed quantity.

Problem 137

Choose the function operation that matches this context: The total number of seats in an auditorium is the number of rows times the number of seats per row.

Problem 138

Choose the function operation that matches this context: The average speed is the total distance traveled divided by the total time taken.

explain intercepts, holes, asymptotes, extrema, and domain.
12 problems Warmup Practice Mixed Review Assessment
Problem 139

Interpret the graph feature horizontal asymptote y=8 of the combined model average cost A(x)=8+500/x.

Problem 140

Interpret the graph feature hole at x=4 of the combined model combined rational model with x=4 hole.

Problem 141

Interpret the graph feature endpoint (3,0) of the combined model sqrt model shifted right 3.

Problem 142

Interpret the graph feature x-intercept of the combined model profit difference model.

Problem 143

Interpret the graph feature vertical asymptote x=5 of the combined model cost per item C(x) = 100/(x-5) + 2 for x > 5.

Problem 144

Interpret the graph feature local maximum at x=20 of the combined model profit P(x) = -0.5x^2 + 20x - 50.

Problem 145

Interpret the graph feature y-intercept (0, 200) of the combined model total cost C(x) = 50x + 200.

Problem 146

Interpret the graph feature domain x >= 10 of the combined model time model T(x) = sqrt(x-10).

Problem 147

Interpret the graph feature vertical asymptote I=0 of the combined model sound intensity L(I) = 10 * log10(I/I0).

Problem 148

Interpret the graph feature horizontal asymptote y=0.5 of the combined model drug concentration C(t) = 10 * e^(-0.2t) + 0.5.

Problem 149

Interpret the graph feature local minimum at x=5 of the combined model average cost A(x) = x^2 - 10x + 30.

Problem 150

Interpret the graph feature x-intercept at x=10 of the combined model deviation D(x) = |x - 10|.

Open in simulator
identify which component controls behavior in regions.
12 problems Warmup Practice Mixed Review Assessment
Problem 151

Compare the combined model x^2+1/x to its component functions.

Open in simulator
Problem 152

Compare the combined model 100(1.04)^t-200ln(t+1) to its component functions.

Problem 153

Compare the combined model sqrt(x)+x to its component functions.

Problem 154

Compare the combined model 8+500/x to its component functions.

Problem 155

Compare the combined model x^3 + e^x to its component functions.

Problem 156

Compare the combined model x^2 - 5ln(x) to its component functions.

Problem 157

Compare the combined model x + 1/x^2 to its component functions.

Problem 158

Compare the combined model 5 + 10e^(-x) to its component functions.

Problem 159

Compare the combined model 20 + 5ln(x) to its component functions.

Problem 160

Compare the combined model e^x + 1/x^3 to its component functions.

Problem 161

Compare the combined model 2x - 5sqrt(x) to its component functions.

Problem 162

Compare the combined model x^3 + 1/(x-1) to its component functions.

define components and combine them appropriately.
12 problems Warmup Practice Mixed Review Assessment
Problem 163

Build a combined function model for base fee of 40 plus 0.12 dollars per mile and a fuel surcharge 15/s miles for speed s.

Problem 164

Build a combined function model for rectangular area where length is x+3 and width is sqrt(x).

Open in simulator
Problem 165

Build a combined function model for investment value grows as 5000(1.03)^t and fees grow as 80ln(t+1).

Problem 166

Build a combined function model for density equals mass 2.7V plus 4 divided by volume V.

Problem 167

Build a combined function model for profit from selling x items where revenue is 10x and cost is 2x^2 + 5x + 100.

Problem 168

Build a combined function model for area of a circle whose radius is given by the function r(t)=t^2+t.

Problem 169

Build a combined function model for net population change where initial population 1000 grows by 5% annually and 50 individuals are lost each year due to migration.

Problem 170

Build a combined function model for average cost per unit where fixed cost is 500, variable cost is 2x for x units, and an additional processing fee is 0.5x^2.

Problem 171

Build a combined function model for volume of a cone with height h and radius 2h.

Problem 172

Build a combined function model for total sales value from selling product A at 20 dollars per unit and product B at 30 dollars per unit, where x units of A are sold and x-5 units of B are sold.

Problem 173

Build a combined function model for temperature in Celsius given Fahrenheit temperature F by the formula (F-32)*5/9, where F is increasing linearly as 2t+30.

Problem 174

Build a combined function model for total length of a fence around a rectangular garden where one side is x and the other side is x^2+1.

catch wrong operation, domain, grouping, and interpretation mistakes.
12 problems Warmup Practice Mixed Review Assessment
Problem 175

Correct the combined-function modeling error in average cost modeled as C(x)+x instead of C(x)/x.

Problem 176

Correct the combined-function modeling error in profit modeled as cost minus revenue.

Problem 177

Correct the combined-function modeling error in quotient model simplified but x=0 restriction removed.

Problem 178

Correct the combined-function modeling error in area from length and width modeled with addition.

Problem 179

Correct the combined-function modeling error in perimeter of a rectangle modeled as length multiplied by width.

Problem 180

Correct the combined-function modeling error in volume of a cylinder modeled as pi times radius squared plus height.

Problem 181

Correct the combined-function modeling error in a 15% price reduction modeled by multiplying the original price by 0.15.

Problem 182

Correct the combined-function modeling error in total time for two people to complete a task together modeled as the average of their individual times.

Problem 183

Correct the combined-function modeling error in the inverse of a function f(x) mistakenly represented as 1/f(x).

Problem 184

Correct the combined-function modeling error in average speed for a round trip with different speeds modeled as the arithmetic mean of the two speeds.

Open in simulator
Problem 185

Correct the combined-function modeling error in area of a triangle modeled as base plus height.

Problem 186

Correct the combined-function modeling error in two successive 10% increases modeled as a single 20% increase.