Math II · F-IF.4

Interpreting Key Features of Quadratic Graphs and Tables in Context

This objective teaches students how to read the story inside a graph or table. Intercepts, turning points, increasing intervals, decreasing intervals, positive and negative regions, symmetry, and end behavior are not vocabulary words to memorize; they are the features that tell what is happening in a situation.

Concept Functions
Domain Interpreting Functions
Read time 8 minutes

What this learning objective is really asking you to learn

A function graph is not just a picture. It is a compressed story about two quantities. The horizontal axis usually represents the input: time, price, distance, side length, number of items, or some other independent quantity. The vertical axis represents the output: height, cost, profit, area, temperature, revenue, or another dependent quantity. Interpreting a graph means translating its visual features back into the language of the situation.

For a quadratic model, the graph is a parabola. That U-shaped or upside-down U-shaped curve has features that often carry practical meaning. The intercepts tell where the graph crosses the axes. The \(y\)-intercept tells the output when the input is zero. The \(x\)-intercepts tell input values where the output is zero. The vertex tells the maximum or minimum value. Intervals of increase and decrease tell where the output is going up or down as the input increases. Positive and negative intervals tell where the output is above or below zero. Symmetry tells that paired input values have the same output. End behavior describes what happens to the output as the input moves far left or far right.

Suppose a height model for a thrown ball is shown as a downward-opening parabola. The \(y\)-intercept may represent the height at the moment the ball was released. The \(x\)-intercepts may represent times when the ball is at ground level. The vertex represents the maximum height. The graph increases before the vertex because the ball is rising, then decreases after the vertex because the ball is falling. If the graph is symmetric, the ball is at the same height at equal time distances before and after the peak. That symmetry is not just geometric; it says something about the motion under an idealized constant gravitational acceleration.

Now suppose a quadratic model represents profit as a function of price. The \(x\)-intercepts might represent prices where profit is zero: a break-even low price and a break-even high price. The vertex might represent the price that produces maximum profit. Positive intervals represent profitable prices. Negative intervals represent losing money. The \(y\)-intercept may represent what happens at a price of zero, which might not be realistic but can still help analyze the formula. The meaning of each feature depends on the quantities, so students must read labels and units.

This objective also includes tables. A table may not show a full graph, but it can reveal features. If output values increase, increase more slowly, then decrease, the table suggests a maximum between or at listed inputs. If values change from negative to positive, an \(x\)-intercept may lie between the two inputs. If values repeat symmetrically around a center input, the table suggests a vertical line of symmetry. Tables require students to infer rather than merely point.

Sketching from a verbal description is the reverse skill. Instead of reading a graph and telling the story, students read the story and draw the graph. For example: “A toy rocket starts on a platform 3 meters above the ground, rises to a maximum height after 2 seconds, then lands after 5 seconds.” A reasonable sketch should start at \((0,3)\), rise to a peak near \(t=2\), then fall to cross the time axis at \(t=5\). It does not need every exact equation to communicate the structure. The sketch is a visual model of the story.

Why students should learn this math

Students ask, “Why do I need to name all these graph features?” The direct answer is that modern life constantly presents people with graphs. Stock charts, climate graphs, sports analytics, medical growth charts, economic forecasts, business dashboards, fitness apps, engineering simulations, and news graphics all depend on graph interpretation. A person who can read graph features is less likely to be fooled by surface appearance and more likely to ask the right questions.

The deeper answer is that features are decisions waiting to happen. A maximum may be the best price, highest safe load, greatest height, largest area, or most efficient setting. A minimum may be the lowest cost, shortest distance, smallest error, or least material waste. An intercept may mark a break-even point, a launch time, a landing time, a zero balance, or a threshold crossing. Intervals of increase and decrease tell when conditions are improving or worsening. Positive and negative intervals tell where a model predicts gain or loss, above-ground or below-ground position, surplus or deficit.

Consider a student planning a fundraiser. Revenue may increase with price at first because each item earns more money, but after a certain point fewer people buy, so revenue declines. A quadratic model can capture that tradeoff. The vertex is not just a “maximum point” for a worksheet. It is the price strategy the fundraiser should consider. The intercepts are not just roots. They are prices where revenue or profit disappears. Interpreting the graph helps the student make a decision.

Consider braking distance. A car's stopping distance is not linear in speed; it often grows more like a quadratic relationship under simplified assumptions. The graph's shape tells an important safety story: doubling speed can more than double stopping distance. A student who understands the graph can see why small speed increases matter. The curve is a warning.

Consider area. If a rectangle is built with a fixed amount of fencing, the area as a function of one side length can be quadratic. The vertex gives the dimensions that maximize area. The \(x\)-intercepts represent impossible or zero-area degenerate cases. The positive interval represents feasible side lengths. The graph becomes a design tool.

This objective matters because students need to move beyond “graphing as drawing.” A graph is a map of behavior. The question is not only whether a student can plot points. The question is whether the student can read meaning from the shape.

The historical and technical machinery behind graph features

The modern coordinate graph comes from a powerful historical merger of geometry and algebra. Before coordinate geometry, curves and equations were often studied as separate objects. With the coordinate plane, a curve could be described by an equation, and an equation could be understood as a curve. This changed mathematics permanently. It allowed motion, shape, and calculation to be studied with one language.

Quadratics have an older history as well. Parabolas were studied by ancient Greek mathematicians as conic sections: curves formed by slicing a cone. Later, algebraic notation made it possible to describe parabolas with equations such as \(y=ax^2+bx+c\). In high school, students inherit both traditions. The parabola is a geometric object with symmetry and a focus-directrix structure, and it is also an algebraic object whose equation can be transformed to reveal zeros and vertices.

Technically, the key features of a quadratic are tied to the structure of its equation. In standard form \(f(x)=ax^2+bx+c\), the \(y\)-intercept is \(c\), because \(f(0)=c\). The sign of \(a\) determines whether the parabola opens up or down. If \(a>0\), the function has a minimum. If \(a<0\), it has a maximum. The axis of symmetry is \(x=-b/(2a)\). The vertex lies on that axis. The \(x\)-intercepts are solutions to \(ax^2+bx+c=0\), when real solutions exist. Factored form reveals zeros. Vertex form reveals maximum or minimum. Completing the square converts standard form into vertex form.

Tables reveal the same structure numerically. Quadratic tables have constant second differences when input intervals are equal. The first differences do not stay constant; they change steadily. This changing rate is one way students can recognize a quadratic pattern. If a table has outputs 3, 8, 11, 12, 11, 8, 3 for evenly spaced inputs, the repeated values suggest symmetry and a maximum at the center.

Some features in the general standard require contextual judgment. Periodicity is listed among key features, but a basic quadratic is not periodic. A parabola does not repeat in cycles. Students should not force every feature onto every function. Instead, they should ask which features matter for this model. For quadratics, intercepts, vertex, symmetry, intervals, and end behavior usually matter most.

How to interpret features in a disciplined way

A strong interpretation begins with labels. Before naming any feature, identify the input quantity, output quantity, and units. A point such as \((4,80)\) has no meaning until we know what 4 and 80 represent. It might mean 4 seconds and 80 feet, 4 dollars and 80 customers, 4 meters and 80 square meters, or 4 hours and 80 degrees.

Next, connect each feature to a question. The \(y\)-intercept answers, “What is the output when the input is zero?” The \(x\)-intercepts answer, “When is the output zero?” The vertex answers, “What is the largest or smallest output, and when does it happen?” Increasing intervals answer, “Where is the output rising as the input increases?” Decreasing intervals answer, “Where is it falling?” Positive intervals answer, “Where is the output above zero?” Negative intervals answer, “Where is the output below zero?” Symmetry answers, “Which different inputs produce the same output?” End behavior answers, “What trend does the formula predict outside the central region?”

For example, if \(P(p)=-2(p-15)^2+450\) models profit in dollars as a function of price \(p\), the vertex \((15,450)\) means the maximum modeled profit is $450 at a price of $15. The function decreases as price moves away from $15 in either direction. If the zeros are approximately 0 and 30, the model predicts no profit at those prices. But context may require caution: a price of $0 may not be a realistic selling strategy, and the model may only be valid over a limited range of prices.

This final caution is critical. Interpreting a graph does not mean believing the formula everywhere. It means reading the model responsibly. A quadratic profit model may eventually predict negative demand or absurdly large losses. A projectile model may predict negative height after the object hits the ground. Students need to interpret features inside the domain where the model makes sense.

Where this fits into the big map of math

Objective 077 sits in the middle of the function map. Earlier students learned that functions assign outputs to inputs. They learned notation, graphs, tables, and equations. Now they use those representations to understand behavior. Later they will compare functions, transform functions, model data, use logarithms, study trigonometry, and eventually examine rates of change in calculus. Key features remain central throughout.

The vertex of a quadratic foreshadows optimization. Intervals of increase and decrease foreshadow derivatives. Intercepts connect to solving equations. Symmetry connects to transformations and geometry. End behavior connects to polynomial graphs in Math III. Tables connect to statistics and finite differences. This objective is not an isolated graph-reading lesson; it is a hub.

Common student traps and how to avoid them

One trap is naming a feature without interpreting it. Saying “the vertex is \((3,25)\)” is not enough in a context problem. A complete interpretation says what 3 means, what 25 means, and why the point matters.

Another trap is confusing \(x\)-intercepts and \(y\)-intercepts. The \(x\)-intercepts occur when the output is zero. The \(y\)-intercept occurs when the input is zero. The distinction matters in context.

A third trap is treating the visible graph window as the whole function. A graphing calculator may show only part of a curve. Students must think about the model and its domain, not just the displayed rectangle.

A fourth trap is forcing irrelevant features. A quadratic does not have periodicity. Some intercepts may not exist. Some features may be outside the contextual domain. Good interpretation includes deciding what not to use.

Problem Library

Problems in the App From This Objective

225 problems across 15 archetypes in the app.

connect maximum/minimum and input value to context.
15 problems Warmup Practice Mixed Review Assessment
Problem 1

Interpret the vertex (2,70) of quadratic model h(t)=-16(t-2)^2+70 in context height in feet after t seconds.

Problem 2

Interpret the vertex (12,144) of quadratic model R(p)=-(p-12)^2+144 in context revenue in dollars.

Problem 3

Interpret the vertex (5,20) of quadratic model C(x)=3(x-5)^2+20 in context cost.

Problem 4

Interpret the vertex (4,32) of quadratic model A(x)=-2(x-4)^2+32 in context area design.

Problem 5

Interpret the vertex (10,50) of quadratic model P(x)=0.5(x-10)^2+50 in context profit in thousands of dollars.

Problem 6

Interpret the vertex (3,45) of quadratic model D(t)=-5(t-3)^2+45 in context distance in meters after t minutes.

Problem 7

Interpret the vertex (7,100) of quadratic model V(r)=2(r-7)^2+100 in context volume of a container.

Open in simulator
Problem 8

Interpret the vertex (20,80) of quadratic model S(x)=-0.1(x-20)^2+80 in context sales in units.

Problem 9

Interpret the vertex (15,250) of quadratic model E(q)=4(q-15)^2+250 in context energy consumption in kWh.

Problem 10

Interpret the vertex (50,120) of quadratic model T(w)=-0.02(w-50)^2+120 in context temperature in degrees Celsius.

Problem 11

Interpret the vertex (8,15) of quadratic model W(d)=0.1(d-8)^2+15 in context weight in pounds.

Problem 12

Interpret the vertex (6,90) of quadratic model G(m)=-3(m-6)^2+90 in context growth rate in percentage.

Problem 13

Interpret the vertex (30,5) of quadratic model F(s)=0.05(s-30)^2+5 in context fuel consumption in liters.

Problem 14

Interpret the vertex (1,200) of quadratic model Y(x)=-10(x-1)^2+200 in context yield in bushels.

Problem 15

Interpret the vertex (40,75) of quadratic model Z(k)=0.25(k-40)^2+75 in context pollution level in ppm.

connect zeros to contextual events.
15 problems Warmup Practice Mixed Review Assessment
Problem 16

Interpret the x-intercepts 0, 4 of quadratic model h(t)=-16t(t-4) in context height after launch.

Problem 17

Interpret the x-intercepts 5, 12 of quadratic model P(q)=(q-5)(q-12) in context profit.

Problem 18

Interpret the x-intercepts 0, -6 of quadratic model A(x)=x(x+6) in context area with length input x.

Problem 19

Interpret the x-intercepts 0, 30 of quadratic model R(p)=p(30-p) in context revenue.

Problem 20

Interpret the x-intercepts 0, 10 of quadratic model h(t) = -5t(t-10) in context height of a rocket in meters after t seconds.

Problem 21

Interpret the x-intercepts 100, 500 of quadratic model P(x) = (x-100)(x-500) in context daily profit in dollars for selling x units.

Problem 22

Interpret the x-intercepts 0, 20 of quadratic model A(w) = w(20-w) in context area of a rectangular garden with width w and perimeter 40.

Problem 23

Interpret the x-intercepts 2, 8 of quadratic model L(t) = (t-2)(t-8) in context deviation of water level from target in cm after t hours.

Problem 24

Interpret the x-intercepts 0, 6 of quadratic model C(t) = -0.5t(t-6) in context concentration of a drug in the bloodstream in mg/L after t hours.

Problem 25

Interpret the x-intercepts 1, 7 of quadratic model N(x) = (x-1)(x-7) in context net change in customers for a new product, where x is months since launch.

Open in simulator
Problem 26

Interpret the x-intercepts 0, 50 of quadratic model R(q) = q(100-2q) in context total revenue for selling q items.

Problem 27

Interpret the x-intercepts 0, 4 of quadratic model h(x) = -x(x-4) in context height of a ball thrown from ground level, where x is horizontal distance.

Problem 28

Interpret the x-intercepts 3, 9 of quadratic model T(h) = (h-3)(h-9) in context deviation from target temperature in degrees Celsius, where h is hours past noon.

Problem 29

Interpret the x-intercepts 0, 20 of quadratic model P(t) = -0.1t(t-20) in context population of a rare species in hundreds, where t is years since monitoring began.

Problem 30

Interpret the x-intercepts 4, 6 of quadratic model C(x) = (x-4)(x-6) in context net cost (cost - revenue) for producing x units.

connect input zero to initial value.
15 problems Warmup Practice Mixed Review Assessment
Problem 31

Interpret the y-intercept of quadratic model h(t)=-16t^2+48t+5 in context height after t seconds.

Problem 32

Interpret the y-intercept of quadratic model R(p)=-p^2+20p in context revenue as a function of price.

Problem 33

Interpret the y-intercept of quadratic model C(x)=x^2-6x+40 in context cost for input x.

Problem 34

Interpret the y-intercept of quadratic model A(x)=x(x+8) in context area from side input x.

Problem 35

Interpret the y-intercept of quadratic model h(t)=-4.9t^2+10t+20 in context height of a projectile in meters after t seconds.

Problem 36

Interpret the y-intercept of quadratic model P(x)=-0.5x^2+100x-500 in context profit in dollars from selling x units.

Problem 37

Interpret the y-intercept of quadratic model A(w)=w(10-w) in context area of a rectangle with width w and length 10-w.

Problem 38

Interpret the y-intercept of quadratic model N(t)=2t^2+50t+1000 in context number of bacteria after t hours.

Problem 39

Interpret the y-intercept of quadratic model C(q)=0.1q^2+5q+200 in context cost in dollars to produce q items.

Problem 40

Interpret the y-intercept of quadratic model R(p)=-50p^2+2000p in context revenue from ticket sales as a function of ticket price p.

Problem 41

Interpret the y-intercept of quadratic model H(x)=-0.01x^2+x+10 in context height of a bridge arch at a horizontal distance x from one end.

Problem 42

Interpret the y-intercept of quadratic model C(t)=-0.2t^2+2t+0.5 in context concentration of a drug in the bloodstream (mg/L) after t hours.

Open in simulator
Problem 43

Interpret the y-intercept of quadratic model D(v)=0.05v^2+v in context stopping distance in feet for a car traveling at v mph.

Problem 44

Interpret the y-intercept of quadratic model P(t)=10t^2-100t+5000 in context population of a town after t years.

Problem 45

Interpret the y-intercept of quadratic model T(h)=-h^2+12h+60 in context temperature in degrees Fahrenheit after h hours.

connect equal output values around vertex.
15 problems Warmup Practice Mixed Review Assessment
Problem 46

Interpret the axis of symmetry t=2 for quadratic model h(t)=-16(t-2)^2+64 in context projectile height.

Open in simulator
Problem 47

Interpret the axis of symmetry p=10 for quadratic model R(p)=-(p-10)^2+100 in context revenue by price.

Problem 48

Interpret the axis of symmetry x=4 for quadratic model A(x)=(x-4)^2+7 in context design measure.

Problem 49

Interpret the axis of symmetry n=6 for quadratic model C(n)=2(n-6)^2+30 in context cost.

Problem 50

Interpret the axis of symmetry x=3 for quadratic model y = x^2 - 6x + 5 in context parabolic path.

Problem 51

Interpret the axis of symmetry t=5 for quadratic model P(t) = -0.5(t-5)^2 + 10 in context population growth.

Problem 52

Interpret the axis of symmetry r=2 for quadratic model V(r) = 3r^2 - 12r + 15 in context volume of a container.

Problem 53

Interpret the axis of symmetry x=-2 for quadratic model f(x) = 2x^2 + 8x + 1 in context mathematical function.

Problem 54

Interpret the axis of symmetry s=6 for quadratic model D(s) = -s^2 + 12s - 20 in context distance traveled.

Problem 55

Interpret the axis of symmetry w=10 for quadratic model G(w) = 0.1(w-10)^2 + 20 in context gas consumption.

Problem 56

Interpret the axis of symmetry m=5 for quadratic model B(m) = -2m^2 + 20m - 30 in context bacterial growth.

Problem 57

Interpret the axis of symmetry k=-3 for quadratic model E(k) = (k+3)^2 + 1 in context energy level.

Problem 58

Interpret the axis of symmetry x=20 for quadratic model H(x) = -0.05x^2 + 2x + 10 in context heating efficiency.

Problem 59

Interpret the axis of symmetry d=7 for quadratic model W(d) = 4(d-7)^2 + 50 in context water flow rate.

Problem 60

Interpret the axis of symmetry t=3 for quadratic model L(t) = -3t^2 + 18t - 15 in context light intensity.

use vertex and opening direction.
15 problems Warmup Practice Mixed Review Assessment
Problem 61

Identify where quadratic model f(x)=(x-3)^2+1 is increasing and decreasing.

Problem 62

Identify where quadratic model g(x)=-(x+2)^2+5 is increasing and decreasing.

Open in simulator
Problem 63

Identify where quadratic model h(x)=2(x-6)^2-4 is increasing and decreasing.

Problem 64

Identify where quadratic model p(x)=-0.5(x-1)^2+9 is increasing and decreasing.

Problem 65

Identify where quadratic model y=(x-5)^2-2 is increasing and decreasing.

Problem 66

Identify where quadratic model y=-(x+4)^2+7 is increasing and decreasing.

Problem 67

Identify where quadratic model y=3x^2+10 is increasing and decreasing.

Problem 68

Identify where quadratic model y=-2x^2-8 is increasing and decreasing.

Problem 69

Identify where quadratic model y=0.5(x+1)^2+3 is increasing and decreasing.

Problem 70

Identify where quadratic model y=-4(x-7)^2-1 is increasing and decreasing.

Problem 71

Identify where quadratic model f(x)=x^2-4x+3 is increasing and decreasing.

Problem 72

Identify where quadratic model g(x)=-x^2-6x+1 is increasing and decreasing.

Problem 73

Identify where quadratic model h(x)=2x^2+8x-5 is increasing and decreasing.

Problem 74

Identify where quadratic model p(x)=-3x^2+12x is increasing and decreasing.

Problem 75

Identify where quadratic model q(x)=x^2+3x+2 is increasing and decreasing.

describe what is happening over input ranges.
15 problems Warmup Practice Mixed Review Assessment
Problem 76

Interpret increasing/decreasing intervals of h(t)=-16(t-2)^2+64 in context height after launch.

Problem 77

Interpret increasing/decreasing intervals of R(p)=-(p-10)^2+100 in context revenue by price.

Problem 78

Interpret increasing/decreasing intervals of C(x)=(x-5)^2+20 in context cost.

Problem 79

Interpret increasing/decreasing intervals of A(x)=-2(x-4)^2+32 in context area.

Problem 80

Interpret increasing/decreasing intervals of P(t) = -0.5(t-3)^2 + 10 in context profit over time in months.

Problem 81

Interpret increasing/decreasing intervals of D(s) = 3(s-15)^2 + 50 in context distance from optimal speed.

Problem 82

Interpret increasing/decreasing intervals of S(x) = -5(x-7)^2 + 80 in context sales based on advertising spend.

Open in simulator
Problem 83

Interpret increasing/decreasing intervals of T(h) = 0.1(h-10)^2 + 5 in context temperature in a room based on heater setting.

Problem 84

Interpret increasing/decreasing intervals of H(t) = -4(t-1)^2 + 20 in context height of a ball over time.

Problem 85

Interpret increasing/decreasing intervals of E(w) = 2(w-3)^2 + 100 in context energy consumption based on machine workload.

Problem 86

Interpret increasing/decreasing intervals of V(k) = -0.01(k-50)^2 + 200 in context value of an antique item by age.

Problem 87

Interpret increasing/decreasing intervals of Q(m) = 0.2(m-20)^2 + 10 in context quality score based on number of modifications.

Problem 88

Interpret increasing/decreasing intervals of f(x) = -1/2(x-6)^2 + 18 in context crop yield based on fertilizer amount.

Problem 89

Interpret increasing/decreasing intervals of g(x) = 1/4(x-8)^2 + 12 in context error rate based on training hours.

Problem 90

Interpret increasing/decreasing intervals of L(t) = -3(t-1)^2 + 15 in context light intensity from a flash.

determine valid input interval.
15 problems Warmup Practice Mixed Review Assessment
Problem 91

Identify the contextual domain of quadratic model h(t)=-16t^2+64t for context height from launch until ground.

Problem 92

Identify the contextual domain of quadratic model A(x)=x(x+5) for context rectangle dimensions x and x+5.

Problem 93

Identify the contextual domain of quadratic model R(p)=p(30-p) for context price p and demand 30-p must be nonnegative.

Problem 94

Identify the contextual domain of quadratic model C(n)=n^2+4n+10 for context n is a whole-number item count.

Problem 95

Identify the contextual domain of quadratic model h(t) = -5t^2 + 20t + 15 for context height of a ball thrown from a building until it hits the ground.

Problem 96

Identify the contextual domain of quadratic model A(w) = w(100 - 2w) for context width w of a rectangular pen with 100ft of fencing, where w must be positive.

Problem 97

Identify the contextual domain of quadratic model P(x) = -2x^2 + 12x - 10 for context profit from selling x units, where x must be a whole number and profit must be non-negative.

Open in simulator
Problem 98

Identify the contextual domain of quadratic model R(x) = (10+x)(50-5x) for context revenue R(x) where x is the number of $1 price increases, and price and demand must be nonnegative.

Problem 99

Identify the contextual domain of quadratic model C(q) = 0.1q^2 - 5q + 100 for context cost of producing q items, where q is a non-negative integer quantity.

Problem 100

Identify the contextual domain of quadratic model A(x) = (10-x)(8-x) for context area of a sheet where x is the side length of a square cut from each corner of a 10x8 rectangle.

Problem 101

Identify the contextual domain of quadratic model P(t) = -0.5t^2 + 10t + 100 for context population of a town t years after 2000, where t represents years and population must be positive.

Problem 102

Identify the contextual domain of quadratic model E(n) = n(200 - 5n) for context enrollment E based on n groups, where n must be a whole number of groups.

Problem 103

Identify the contextual domain of quadratic model d(v) = v^2 / (2 * 9.8) for context stopping distance d for a car at velocity v, where velocity must be non-negative.

Problem 104

Identify the contextual domain of quadratic model A(x) = x(20-x) for context area of a rectangular garden with perimeter 40, where x is one side length.

Problem 105

Identify the contextual domain of quadratic model R(p) = -50p^2 + 1500p - 10000 for context revenue R from selling an item at price p, where price must be positive and result in positive revenue.

determine possible output values.
15 problems Warmup Practice Mixed Review Assessment
Problem 106

Identify the contextual range of quadratic model h(t)=-16(t-2)^2+64 over domain 0 <= t <= 4.

Problem 107

Identify the contextual range of quadratic model A(x)=x(x+5) over domain 0 <= x <= 10.

Problem 108

Identify the contextual range of quadratic model R(p)=p(30-p) over domain 0 <= p <= 30.

Problem 109

Identify the contextual range of quadratic model C(x)=(x-5)^2+20 over domain 0 <= x <= 10.

Problem 110

Identify the contextual range of quadratic model f(x)=x^2-6x+5 over domain 0 <= x <= 5.

Problem 111

Identify the contextual range of quadratic model g(t)=-2t^2+8t+1 over domain 0 <= t <= 2.

Problem 112

Identify the contextual range of quadratic model h(s)=(s+1)^2-3 over domain 0 <= s <= 3.

Problem 113

Identify the contextual range of quadratic model k(m)=-0.5(m-4)^2+10 over domain 1 <= m <= 7.

Problem 114

Identify the contextual range of quadratic model P(x)=3x^2+12x+1 over domain -4 <= x <= 0.

Problem 115

Identify the contextual range of quadratic model Q(y)=-(y-1)(y-5) over domain 0 <= y <= 6.

Problem 116

Identify the contextual range of quadratic model V(r)=4r^2-16r+7 over domain 3 <= r <= 5.

Problem 117

Identify the contextual range of quadratic model W(x)=(x+3)^2+1 over domain -5 <= x <= -1.

Open in simulator
Problem 118

Identify the contextual range of quadratic model Y(z)=-3z^2+6z-2 over domain -1 <= z <= 0.

Problem 119

Identify the contextual range of quadratic model Z(w)=0.5w^2-2w+3 over domain 0 <= w <= 6.

Problem 120

Identify the contextual range of quadratic model M(x)=-x^2+4x over domain 1 <= x <= 3.

place intercepts, vertex, and relevant domain.
15 problems Warmup Practice Mixed Review Assessment
Problem 121

List key features for sketching quadratic context model h(t)=-16t(t-4) over 0 <= t <= 4.

Problem 122

List key features for sketching quadratic context model R(p)=p(20-p) over 0 <= p <= 20.

Problem 123

List key features for sketching quadratic context model A(x)=x(x+6) over 0 <= x <= 10.

Problem 124

List key features for sketching quadratic context model C(x)=(x-3)^2+5 over 0 <= x <= 8.

Problem 125

List key features for sketching quadratic context model f(x) = (x-1)^2 + 3 over 0 <= x <= 5.

Problem 126

List key features for sketching quadratic context model y = -x^2 + 6x - 5 over 0 <= x <= 6.

Open in simulator
Problem 127

List key features for sketching quadratic context model g(x) = 2x^2 - 8x + 10 over 3 <= x <= 7.

Problem 128

List key features for sketching quadratic context model h(x) = -3x^2 - 12x + 1 over -5 <= x <= -3.

Problem 129

List key features for sketching quadratic context model P(t) = -t^2 + 8t over 0 <= t <= 6.

Problem 130

List key features for sketching quadratic context model Q(x) = (x-2)^2 + 1 over 2 <= x <= 7.

Problem 131

List key features for sketching quadratic context model K(m) = -(m+1)^2 + 10 over -4 <= m <= -1.

Problem 132

List key features for sketching quadratic context model f(x) = x^2 + 2x + 5 over -5 <= x <= -3.

Problem 133

List key features for sketching quadratic context model M(x) = -2x^2 + 12x - 10 over 4 <= x <= 7.

Problem 134

List key features for sketching quadratic context model V(t) = 3t^2 - 6t + 5 over -1 <= t <= 3.

Problem 135

List key features for sketching quadratic context model W(x) = (x+1)(x+5) over 0 <= x <= 4.

align intercepts, vertex, and domain.
15 problems Warmup Practice Mixed Review Assessment
Problem 136

Match the graph description to context story A ball rises, reaches a peak, then lands.

Open in simulator
Problem 137

Match the graph description to context story Revenue is zero at very low and very high prices with a best price in between.

Problem 138

Match the graph description to context story Area of a rectangle increases as side length increases from zero.

Problem 139

Match the graph description to context story Cost is lowest at an ideal production level and higher away from it.

Problem 140

Match the graph description to context story A diver jumps from a platform into a pool.

Problem 141

Match the graph description to context story A company's profit increases with production up to a point, then decreases due to overproduction.

Problem 142

Match the graph description to context story The shape of a cable on a suspension bridge.

Problem 143

Match the graph description to context story The stopping distance of a car increases quadratically with speed.

Problem 144

Match the graph description to context story A farmer wants to fence a rectangular area against an existing barn wall, maximizing the area with a fixed amount of fencing.

Problem 145

Match the graph description to context story The average cost per item decreases then increases as production volume grows.

Problem 146

Match the graph description to context story A firework is launched from the ground, explodes at its peak height, and its remnants fall.

Problem 147

Match the graph description to context story The power output of an electrical circuit varies quadratically with resistance, reaching a maximum at a certain resistance.

Problem 148

Match the graph description to context story The efficiency of a car engine varies with its operating temperature, being lowest at very low or very high temperatures and optimal in between.

Problem 149

Match the graph description to context story The area of a circle as its radius increases from zero.

Problem 150

Match the graph description to context story The tension in a guitar string varies quadratically with how much it's tuned away from its ideal pitch, being lowest at the ideal pitch.

identify symmetry, vertex, and zeros from table.
15 problems Warmup Practice Mixed Review Assessment
Problem 151

Interpret quadratic table x: 0,1,2,3,4; y: 0,3,4,3,0.

Problem 152

Interpret quadratic table x: -1,0,1,2,3; y: 9,4,1,0,1.

Problem 153

Interpret quadratic table x: 0,1,2,3; y: 5,10,9,2.

Problem 154

Interpret quadratic table x: 1,2,3,4,5; y: 0,8,12,8,0.

Problem 155

Interpret quadratic table x: -2,-1,0,1,2; y: 4,1,0,1,4.

Problem 156

Interpret quadratic table x: -3,-2,-1,0,1; y: 0,3,4,3,0.

Problem 157

Interpret quadratic table x: 0,1,2,3; y: 8,3,0,1.

Problem 158

Interpret quadratic table x: 0,1,2,3,4; y: 5,2,1,2,5.

Problem 159

Interpret quadratic table x: -2,-1,0,1,2; y: 5,0,-3,0,5.

Open in simulator
Problem 160

Interpret quadratic table x: 0,1,2,3; y: -5,-2,1,4.

Problem 161

Interpret quadratic table x: -3,-2,-1,0; y: 4,1,-2,-5.

Problem 162

Interpret quadratic table x: 0,1,2,3; y: 5,2,3,6.

Problem 163

Interpret quadratic table x: -3,-2,-1,0,1; y: 10,5,2,1,2.

Problem 164

Interpret quadratic table x: -4,-2,0,2,4; y: 16,4,0,4,16.

Problem 165

Interpret quadratic table x: -5,-3,-1,1,3; y: 0,8,12,8,0.

compare input to context domain.
15 problems Warmup Practice Mixed Review Assessment
Problem 166

Decide whether extrapolated prediction h(6) is meaningful for context h(t) models ball height from t=0 until it lands at t=4.

Problem 167

Decide whether extrapolated prediction R(40) is meaningful for context R(p)=p(30-p) models revenue for 0<=p<=30.

Problem 168

Decide whether extrapolated prediction A(3) is meaningful for context A(x)=x(x+5) models rectangle area for x>0.

Problem 169

Decide whether extrapolated prediction C(2.5) is meaningful for context C(n) models cost for whole-number item counts n>=0.

Problem 170

Decide whether extrapolated prediction P(10) is meaningful for context P(t) models population in thousands for t years since 2000, for 0 <= t <= 50.

Problem 171

Decide whether extrapolated prediction V(5) is meaningful for context V(r) models the volume of a sphere with radius r, where r > 0.

Problem 172

Decide whether extrapolated prediction W(-1) is meaningful for context W(d) models water depth in a pool d hours after filling starts, for 0 <= d <= 8.

Problem 173

Decide whether extrapolated prediction S(1500) is meaningful for context S(x) models sales for x advertising dollars, where x must be a multiple of 1000 and x >= 0.

Open in simulator
Problem 174

Decide whether extrapolated prediction L(12) is meaningful for context L(p) models length of a spring when a weight of p kg is attached, for 0 <= p <= 10.

Problem 175

Decide whether extrapolated prediction G(50.5) is meaningful for context G(c) models grade percentage on a test with c correct answers, where c must be an integer from 0 to 50.

Problem 176

Decide whether extrapolated prediction P(120) is meaningful for context P(t) models the percentage of a task completed after t hours, for 0 <= t <= 100.

Problem 177

Decide whether extrapolated prediction H(-2) is meaningful for context H(a) models the height of a plant a weeks after planting, for a >= 0.

Problem 178

Decide whether extrapolated prediction B(3.5) is meaningful for context B(n) models the number of bacteria after n hours, where n must be a non-negative integer.

Problem 179

Decide whether extrapolated prediction T(2) is meaningful for context T(x) models temperature in Celsius at x km altitude, for 0 <= x <= 10.

Problem 180

Decide whether extrapolated prediction E(-5) is meaningful for context E(d) models energy cost for d kWh used, where d >= 0.

compare vertices, intercepts, and domains.
15 problems Warmup Practice Mixed Review Assessment
Problem 181

Compare key features of quadratic models A(x)=-(x-4)^2+20 and B(x)=-(x-6)^2+25.

Problem 182

Compare key features of quadratic models A(x)=x(x-10) and B(x)=x(x-6).

Problem 183

Compare key features of quadratic models A(x)=(x-2)^2+3 and B(x)=2(x-2)^2+3.

Problem 184

Compare key features of quadratic models A(x)=-(x-3)^2+9 and B(x)=(x-3)^2-9.

Problem 185

Compare key features of quadratic models A(x) = x^2 + 2x + 1 and B(x) = x^2 + 2x + 5.

Problem 186

Compare key features of quadratic models A(x) = (x+1)^2 - 2 and B(x) = -(x+1)^2 - 2.

Open in simulator
Problem 187

Compare key features of quadratic models A(x) = 2(x-3)^2 + 1 and B(x) = 0.5(x-3)^2 + 1.

Problem 188

Compare key features of quadratic models A(x) = x^2 - 4x and B(x) = x^2 - 6x.

Problem 189

Compare key features of quadratic models A(x) = x^2 - 4 and B(x) = x^2 + 4.

Problem 190

Compare key features of quadratic models A(x) = x^2 - 2x + 3 and B(x) = x^2 + 4x + 3.

Problem 191

Compare key features of quadratic models A(x) = x^2 + 6x + 5 and B(x) = (x+3)^2 - 2.

Problem 192

Compare key features of quadratic models A(x) = x^2 + 1 and B(x) = x^2 + 5.

Problem 193

Compare key features of quadratic models A(x) = -x^2 + 4x and B(x) = -2x^2 + 8x.

Problem 194

Compare key features of quadratic models A(x) = (x-1)(x-3) and B(x) = (x-2)^2 + 1.

Problem 195

Compare key features of quadratic models A(x) = (x-1)^2 and B(x) = (x+2)^2.

use context to validate graph annotations.
15 problems Warmup Practice Mixed Review Assessment
Problem 196

Identify the mislabeled graph feature in quadratic context: For h(t)=-16(t-2)^2+64, point (2,64) is labeled landing time.

Problem 197

Identify the mislabeled graph feature in quadratic context: For R(p)=p(30-p), p=15 is labeled y-intercept.

Problem 198

Identify the mislabeled graph feature in quadratic context: For A(x)=x(x+5), x=-5 is labeled meaningful side length.

Problem 199

Identify the mislabeled graph feature in quadratic context: For C(x)=(x-4)^2+10, x=4 is labeled maximum cost.

Problem 200

Identify the mislabeled graph feature in quadratic context: For f(x)=-(x-3)^2+9, point (3,9) is labeled an x-intercept.

Problem 201

Identify the mislabeled graph feature in quadratic context: For g(x)=x^2-4x+3, point (0,3) is labeled an x-intercept.

Problem 202

Identify the mislabeled graph feature in quadratic context: For h(x)=x^2+2x-8, point (2,0) is labeled the y-intercept.

Problem 203

Identify the mislabeled graph feature in quadratic context: For k(x)=2x^2-8x+5, the line x=2 is labeled the vertex.

Problem 204

Identify the mislabeled graph feature in quadratic context: For P(t)=-t^2+10t-16, t=5 is labeled the maximum profit.

Problem 205

Identify the mislabeled graph feature in quadratic context: For a ball thrown from a height of 5 feet, modeled by h(t)=-16t^2+32t+5, t=-1 is labeled a valid time.

Problem 206

Identify the mislabeled graph feature in quadratic context: For a cost function C(q)=q^2-6q+15, C(3)=6 is labeled the maximum cost.

Problem 207

Identify the mislabeled graph feature in quadratic context: For f(x)=x^2-9, x=3 is labeled the only x-intercept.

Problem 208

Identify the mislabeled graph feature in quadratic context: For a projectile's height h(t)=-5t^2+20t+10, (0,10) is labeled the landing point.

Problem 209

Identify the mislabeled graph feature in quadratic context: For a revenue function R(x)=-0.5x^2+20x, R(20)=200 is labeled the number of items sold for max revenue.

Open in simulator
Problem 210

Identify the mislabeled graph feature in quadratic context: For the function f(x)=3x^2-12x+5, the graph is described as having a maximum point.

synthesize vertex, intercepts, intervals, and domain.
15 problems Warmup Practice Mixed Review Assessment
Problem 211

Write a combined contextual interpretation of quadratic model h(t)=-16t(t-4) with features zeros 0 and 4, vertex (2,64), domain 0<=t<=4.

Problem 212

Write a combined contextual interpretation of quadratic model R(p)=p(30-p) with features zeros 0 and 30, vertex (15,225), domain 0<=p<=30.

Problem 213

Write a combined contextual interpretation of quadratic model C(x)=(x-5)^2+20 with features vertex (5,20), opens up.

Problem 214

Write a combined contextual interpretation of quadratic model A(x)=x(x+6) with features domain x>=0, increasing on domain, A(0)=0.

Problem 215

Write a combined contextual interpretation of quadratic model h(t) = -5t^2 + 20t + 25 with features y-intercept (0,25), vertex (2,45), x-intercept (5,0).

Problem 216

Write a combined contextual interpretation of quadratic model P(x) = -0.5x^2 + 10x - 12 with features vertex (10,38), x-intercepts (1.3,0) and (18.7,0).

Problem 217

Write a combined contextual interpretation of quadratic model A(w) = w(20-w) with features zeros 0 and 20, vertex (10,100), domain 0 < w < 20.

Problem 218

Write a combined contextual interpretation of quadratic model C(q) = 2q^2 - 12q + 30 with features vertex (3,12), y-intercept (0,30), increasing for q > 3.

Problem 219

Write a combined contextual interpretation of quadratic model D(v) = 0.05v^2 + v with features D(0)=0, increasing for v >= 0, domain v >= 0.

Problem 220

Write a combined contextual interpretation of quadratic model P(t) = -0.1t^2 + 2t + 50 with features y-intercept (0,50), vertex (10,60), decreasing for t > 10.

Problem 221

Write a combined contextual interpretation of quadratic model y = 0.01x^2 - 0.6x + 10 with features vertex (30,1), y-intercept (0,10).

Problem 222

Write a combined contextual interpretation of quadratic model R(x) = -2x^2 + 24x - 50 with features vertex (6,22), x-intercepts (2.5,0) and (9.5,0).

Problem 223

Write a combined contextual interpretation of quadratic model T(h) = -0.25(h-12)^2 + 30 with features vertex (12,30), domain 0 <= h <= 24, T(0)=12.

Problem 224

Write a combined contextual interpretation of quadratic model C(x) = 0.1x^2 - 2x + 15 with features vertex (10,5), y-intercept (0,15), increasing for x > 10.

Open in simulator
Problem 225

Write a combined contextual interpretation of quadratic model h(t) = -16t^2 + 8t + 10 with features y-intercept (0,10), vertex (0.25, 11), x-intercept (1.05,0).