Unit 1 · Topic 1.13 · about 30 minutes · 7 parts · 12 scored checks, 1 of them multiple choice

Function Model Selection and Assumption Articulation

Scatterplot of a ball's height in meters at times 0 to 4 seconds: 1.5, 16.6, 21.9, 17.4 and 3.1. A quadratic model curve passes through every point, rising to a single maximum and falling symmetrically.Tap to open the picture full size

Part 1 Think first

What shape is a phone bill?

Guess before you learn. A wrong guess still makes the answer stick.

Predict first

A phone plan costs 30 dollars a month for up to 5 gigabytes of data, then 10 dollars for each extra gigabyte. What kind of function models the monthly bill against the data used?

In short. Choosing a model means matching the way a situation changes to a function type, then saying what the model assumes and where it applies.

  • Roughly constant rates of change suggest linear; roughly linear rates, or symmetry around one maximum or minimum, suggest quadratic; constant nonzero nth differences suggest degree n.
  • Area suggests quadratic and volume suggests cubic; several zeros or turns suggest a higher-degree polynomial; different behavior on different intervals suggests piecewise.
  • Every model assumes something stays consistent, and may need domain or range restrictions from the math, the context or the data.

Part 2 Learn it

Four short ideas, each checked as you go

2a. Read the rates

With data at equally spaced inputs, the differences tell you the type (1.3 and 1.5).

  • Roughly constant rates of change: a linear model.
  • Rates of change that are roughly linear, so second differences are roughly constant: a quadratic model.
  • Roughly constant nonzero nth differences: a polynomial of degree n.

Measured data wobble a little, so the test is whether the differences are roughly constant. Differences of 2.9, 3.1, 3.0, 2.8 are close enough to constant for a linear model; 3, 5, 7, 9 are clearly not.

Quick check · Sort it

No calculator. Each list gives outputs at inputs 0, 1, 2, 3, 4. Tap a list, then the polynomial type that fits it best.

Linear

Quadratic

Cubic

2b. Read the situation

Sometimes the context says which type to try before you see any data.

  • A quantity with a unique maximum or minimum and roughly symmetric behavior around it, like a thrown ball's height: quadratic.
  • Area, or anything in two dimensions, often grows like a quadratic. Volume, in three dimensions, often grows like a cubic.
  • Several real zeros or several maximums and minimums, like a road over three hills: a polynomial of higher degree.

One more fact helps with small data sets: through any n+1 points with distinct inputs there is a polynomial of degree n or less. Two points fix a line; three points fix a quadratic, or a line if they happen to be on one.

Quick check · Match

No calculator. Tap a situation, then the model type it suggests.

2c. Piecewise-defined models

A piecewise-defined function is a set of functions, each on its own interval, with intervals that do not overlap. It fits a situation that behaves differently over different intervals. The phone plan:

  • B(g)=30 for 0≤g≤5
  • B(g)=30+10(g−5) for g>5

To evaluate it, first decide which interval the input is in, then use only that rule. B(3)=30, because 3 is in the first interval. B(7)=30+10⋅2=50.

Quick check · Calculate

No calculator. A phone plan costs 30 dollars a month for up to 5 gigabytes of data, then 10 dollars for each extra gigabyte. What is the bill, in dollars, for 8 gigabytes?

dollars

2d. Assumptions and restrictions

A model is a simplification, so it assumes things.

  • Assumptions about what stays consistent: the price per pound does not change, the weather is like last year's.
  • Assumptions about how quantities change together: each extra worker adds the same output.

A model may also need restrictions.

  • Domain restrictions come from mathematical clues (no dividing by zero), contextual clues (time cannot be negative) or extreme values in the data (do not use the model far outside the inputs you measured).
  • Range restrictions come from the same places, including rounding: a model may give 41.6 tickets, but you sell 41 or 42.

Quick check · Sort it

No calculator. A school models ticket sales for its play. Tap each statement, then what kind of statement it is.

Assumption

Domain restriction

Range restriction

Part 3 Watch it done

Choosing a model for a thrown ball

Watch each step, then do the last one yourself.

A ball is tossed up from a balcony. Its height in meters, t seconds later, is measured:

h(0)=1.5, h(1)=16.6, h(2)=21.9, h(3)=17.4, h(4)=3.1.

Choose a model type and state its restrictions.

  1. Step 1 · First differences

    16.6−1.5=15.1, then 5.3, −4.5 and −14.3. Not constant, so not linear.

  2. Step 2 · Second differences

    5.3−15.1=−9.8, then −9.8 and −9.8. The rates of change are changing at a constant rate, so a quadratic model fits, which matches the rise to one maximum and the fall.

  3. Why this step?

    Why not use a degree-4 polynomial, which can pass through all five points?

    A polynomial of degree 4 or less fits any five points with distinct inputs, so fitting them proves nothing. The constant second differences show that a quadratic already fits exactly, and it matches how a thrown ball moves.

  4. Step 3 · Restrictions

    Time starts at the toss, so t≥0, and the model stops when the ball reaches the ground, a little after t=4. Height cannot be negative.

  5. Your step · Calculate

    No calculator. Finish it. Suppose you ignore the restriction and keep the second differences at −9.8. What height, in meters, does the pattern give for t=5?

Part 4 Try it

Weather and sales

Try it · Decide and justify

No calculator. A beach stand records its daily lemonade sales at different temperatures. Sales rise as it gets warmer, peak at about 82 degrees, then fall about as fast on the hottest days, when people stay home. Which model type fits?

Which reason supports your answer?

Part 5 Explain it

Write it the way the exam asks

Nothing you type leaves this page.

Free response is 37.5% of the exam score. This one is shaped like Question 2, Modeling a Non-Periodic Context.

Free-response practice · Question 2 style

Graphing calculator required. A city's bike share counted rides each month for its first 8 months. Each month had about 1,200 more rides than the month before. Identify a function type to model rides by month, and justify your choice. Then describe one assumption the model makes and one restriction on its domain.

Model answer

A linear model fits, because the number of rides grew by roughly the same amount, about 1,200, each month: a roughly constant rate of change. The model assumes the growth continues at the same rate, for example that nothing like a price change or a hard winter changes how quickly riders join. Its domain should be restricted to whole months near the data, such as months 1 to 8 or a little beyond, because using it years into the future would predict growth the city may never see.

Score your own answer. This is a self-check, not a grade. Tick each point your answer makes.

Part 6 Check yourself

Shipping a package

The two case questions use the same data. Answer them from the table.

A delivery company lists the cost to ship a package by its weight, in dollars.

Shipping cost by weight
Weight (pounds)Cost (dollars)
18.00
28.00
38.00
48.00
59.50
611.00
712.50
814.00

Case question 1 · Multiple choice

No calculator. Which model fits the table best?

Case question 2 · Calculate

No calculator. If the pattern continues, what does a 10 pound package cost, in dollars?

dollars

The rest stand on their own and do not use the case.

Check yourself · Fill the statement

No calculator. Tap a blank, then tap a number.

Through any 4 points with distinct inputs there is a polynomial of degree or less, and through any 7 such points there is one of degree or less.

Check yourself · Spot the error

No calculator. A student chooses a model for the area of square tiles with sides 1, 2, 3 and 4 centimeters: 1, 4, 9 and 16 square centimeters. Tap the line with the mistake.

Part 7 Keep it

Bring back earlier ideas

Pulling an older idea back up is what makes it last.

From 1.12 Transformations of Functions · Calculate

No calculator. The point (6,2) is on the graph of f. The corresponding point on the graph of g(x)=3f(2x) is (p,q). What is p?

From 1.6 Polynomial Functions and End Behavior · Decide and justify

No calculator. A biologist's model of a deer population, P(t)=−0.02t3+1.5t2+200 with t in years, fits the first 40 years of data. Should the biologist use it to predict the population after 100 years?

Which reason supports your answer?

In three lines

  • Constant rates suggest linear, linear rates or a symmetric single peak suggest quadratic, and constant nth differences suggest degree n.
  • Area suggests quadratic, volume cubic, several turns a higher degree, and different behavior on different intervals a piecewise model.
  • State the assumptions a model makes, and restrict its domain and range with math, context or the data.

Vocabulary

Function model
A function chosen to describe a data set or a situation.
Piecewise-defined function
A set of functions on intervals that do not overlap, each used only on its own interval.
Assumption
Something a model treats as consistent, or a way it assumes quantities change together.
Domain restriction
A limit on the inputs a model may use, from math, context or the extent of the data.
Range restriction
A limit on the outputs, such as rounding to whole numbers or a maximum the context allows.
Course alignment, for teachers

AP Precalculus topic 1.13, Unit 1: Polynomial and Rational Functions.

  • Skill 2.A: Identify information from graphical, numerical, analytical, and verbal representations to answer a question or construct a model, with and without technology.
  • Skill 3.C: Support conclusions or choices with a logical rationale or appropriate data.

This lesson maps all 11 essential knowledge statements of the topic to the part that teaches each one: 11 are checked by a scored question. The map is in the lesson file.