AP Precalculus -1.13 Function Models: Selection and Assumptions- MCQ Exam Style Questions - Effective Fall 2023
AP Precalculus -1.13 Function Models: Selection and Assumptions- MCQ Exam Style Questions – Effective Fall 2023
AP Precalculus -1.13 Function Models: Selection and Assumptions- MCQ Exam Style Questions – AP Precalculus- per latest AP Precalculus Syllabus.
Question

▶️ Answer/Explanation
Water poured at constant rate → volume in vase increases linearly with time. Depth \( h \) vs. time \( t \) depends on horizontal cross-sectional area \( A(h) \): \[ \frac{dV}{dt} = \text{constant} \quad\text{and}\quad dV = A(h)\, dh \] so \[ \frac{dh}{dt} = \frac{\text{constant}}{A(h)}. \]
First portion concave up → \( \frac{dh}{dt} \) increasing with time → \( A(h) \) decreasing with \( h \). Thus bottom part of vase gets narrower as you go upward (like an upside-down cone or rounded bottom that narrows).
Next portion: fairly steady and steep increase → \( \frac{dh}{dt} \) nearly constant → \( A(h) \) constant → cylindrical section.
So correct vase shape: bottom part where cross-section narrows upward (giving concave up depth–time), then cylindrical section (giving linear depth–time = steep steady increase).
✅ Answer: (B)
Question
(B) Piecewise linear
(C) Quadratic
(D) Cubic
▶️ Answer/Explanation
Capacity likely depends on the area of the square field. If side length = \( s \), then area = \( s^2 \), and crowd capacity is proportional to area (assuming constant density).
Thus capacity \( C(s) \propto s^2 \) ⇒ a quadratic function.
✅ Answer: (C)
Question
(B) Because the information about rate of change is roughly linear, a quadratic model is best for \( C \).
(C) Because the information about rate of change is positive and negative, a quadratic model is best for \( C \).
(D) Because the information about rate of change is positive and negative, a piecewise-linear model is best for \( C \).
▶️ Answer/Explanation
The given data is about change from previous day (i.e., daily increment in cookies baked).
If those daily increments (rate of change of total cookies baked) are roughly linear as a function of day number, that means the second differences of the total cookies are roughly constant ⇒ total cookies as a function of time is quadratic.
Thus: rate of change linear ⇒ total function quadratic.
✅ Answer: (B)
Question
(B) The tetrahedral numbers are best modeled by a quadratic function because the 3rd differences are a nonzero constant.
(C) The tetrahedral numbers are best modeled by a cubic function because the 2nd differences are a nonzero constant.
(D) The tetrahedral numbers are best modeled by a cubic function because the 3rd differences are a nonzero constant.
▶️ Answer/Explanation
Tetrahedral numbers formula is \( T_n = \frac{n(n+1)(n+2)}{6} \), a cubic polynomial in \( n \).
For a cubic polynomial, the third differences are constant and nonzero (while second differences are linear).
Thus correct reasoning: constant 3rd differences ⇒ cubic model.
✅ Answer: (D)
Question


▶️ Answer/Explanation
1. Relate Slope to Width:
Slope represents the rate of depth increase. A wide container fills slowly (small slope); a narrow container fills quickly (steep slope).
2. Analyze Graph Behavior:
The graph is concave up then concave down, meaning the slope starts low, increases to a maximum, then decreases. This implies: Wide \(\rightarrow\) Narrow \(\rightarrow\) Wide.
3. Match Container:
The hourglass shape fits this description (Wide bottom, narrow neck, wide top).
✅ Answer: (B)
Question
| \(x\) | -1 | 0 | 1 | 2 | 3 |
|---|---|---|---|---|---|
| \(g(x)\) | -3 | -2 | 1 | 6 | 13 |
(B) \(g\) is best modeled by a quadratic function, because the average rates of change… are constant.
(C) \(g\) is best modeled by a linear function…
(D) \(g\) is best modeled by a quadratic function, because the successive 2nd differences of the output values over equal-interval input values are constant.
▶️ Answer/Explanation
1. Calculate First Differences:
\(-2 – (-3) = 1\)
\(1 – (-2) = 3\)
\(6 – 1 = 5\)
\(13 – 6 = 7\)
2. Calculate Second Differences:
\(3 – 1 = 2\)
\(5 – 3 = 2\)
\(7 – 5 = 2\)
3. Conclusion:
Since second differences are constant, the function is quadratic.
✅ Answer: (D)
Question
| Year (time \(t\)) | 2010 \((t=0)\) | 2013 \((t=3)\) | 2016 \((t=6)\) | 2019 \((t=9)\) | 2022 \((t=12)\) |
|---|---|---|---|---|---|
| Length | 1 | 7 | 16 | 25 | 38 |
(B) \(127.0\)
(C) \(309.3\)
(D) \(942.1\)
▶️ Answer/Explanation
1. Perform Quartic Regression:
Using a graphing calculator or statistical software, input the data points \((0,1), (3,7), (6,16), (9,25), (12,38)\) and select the Quartic Regression model (\(y = ax^4 + bx^3 + cx^2 + dx + e\)).
The resulting regression equation is approximately:
\(L(t) \approx 0.00360t^4 – 0.08333t^3 + 0.68981t^2 + 0.58333t + 1\).
2. Predict for \(t=18\) (Year 2028):
Substitute \(t=18\) into the regression equation:
\(L(18) \approx 0.00360(18)^4 – 0.08333(18)^3 + 0.68981(18)^2 + 0.58333(18) + 1\)
Calculating the value yields approximately \(127.0\).
✅ Answer: (B)
Question
(B) \(g\) is best modeled by a linear function, because the change in the average rates of change over consecutive equal-length input-value intervals is constant.
(C) \(g\) is best modeled by a quadratic function, because the rate of change over consecutive equal-length input-value intervals is constant.
(D) \(g\) is best modeled by a quadratic function, because the change in the average rates of change over consecutive equal-length input-value intervals is constant.
▶️ Answer/Explanation
First compute average rates of change over intervals of length 1:
From \( x=0 \) to \( x=1 \): \( \frac{78-53}{1} = 25 \)
From \( x=1 \) to \( x=2 \): \( \frac{97-78}{1} = 19 \)
From \( x=2 \) to \( x=3 \): \( \frac{110-97}{1} = 13 \)
From \( x=3 \) to \( x=4 \): \( \frac{117-110}{1} = 7 \)
These rates are not constant, so not linear.
Now compute changes in these average rates (second differences):
\( 19 – 25 = -6 \)
\( 13 – 19 = -6 \)
\( 7 – 13 = -6 \)
The change in average rates is constant (\(-6\)). This is characteristic of a quadratic function.
Thus \(g\) is best modeled by a quadratic function because the change in average rates of change is constant.
✅ Answer: (D)
Question

▶️ Answer/Explanation
The correct option is (C).
Identify points from the graph: \((0, 1)\), \((2, 2)\), \((4, 4)\), and \((6, 8)\).
Calculate the ratio of consecutive outputs: \(\frac{2}{1} = 2\), \(\frac{4}{2} = 2\), and \(\frac{8}{4} = 2\).
Since the input intervals are equal (\(\Delta x = 2\)), the output values are proportional.
A constant ratio over equal intervals is the defining property of an exponential function.
Option (B) describes quadratic behavior, which does not match the constant ratio observed.
Therefore, \(f\) is exponential because its outputs grow by a common factor.
Question
(B) Exponential growth
(C) Exponential decay
(D) Logarithmic
▶️ Answer/Explanation
The correct answer is (C) Exponential decay.
In a semi-log plot, the vertical axis represents $\log(y)$ and the horizontal axis represents $x$.
A linear pattern on this plot follows the equation $\log(y) = mx + b$.
Converting from logarithmic to exponential form gives $y = 10^{mx + b}$, which is an exponential function.
Since the pattern is decreasing, the slope $m$ must be negative ($m < 0$).
An exponential function with a negative growth rate represents exponential decay.
Therefore, the data is best modeled by an exponential decay function.
Question

(B) $g$
(C) $h$
(D) $k$
▶️ Answer/Explanation
For a linear function, the rate of change remains constant.
A piecewise-linear function with two segments must show two distinct constant rates.
Function $f$ has a nearly constant rate of $\approx 2.1$, suggesting a single linear model.
Function $g$ shows a constantly increasing rate, suggesting a quadratic model.
Function $h$ stays at $\approx 2.1$ for $0 < x < 3$ and then jumps to $\approx 4.1$ for $3 < x < 7$.
This clear shift between two stable values identifies two linear segments with different slopes.
Function $k$ increases and then decreases, which is characteristic of a single nonlinear curve.
Therefore, $h$ is the best fit for a piecewise-linear model with two segments.
Question

▶️ Answer/Explanation
Part A
(i) From the table, we find $f(8) = 15$.
Substitute $15$ into the function $g(x)$: $h(8) = g(15) = 0.25(15)^3 – 9.5(15)^2 + 110(15) – 399$.
$h(8) = 0.25(3375) – 9.5(225) + 1650 – 399$.
$h(8) = 843.75 – 2137.5 + 1650 – 399$.
$h(8) = -42.75$.
(ii) To find $f^{-1}(20)$, we look for the $x$ value where $f(x) = 20$.
From the table, $f(16) = 20$.
Therefore, $f^{-1}(20) = 16$.
Part B
(i) We solve the equation $0.25x^3 – 9.5x^2 + 110x – 399 = -45$.
Set the equation to zero: $0.25x^3 – 9.5x^2 + 110x – 354 = 0$.
Using numerical methods or a graphing calculator, the real solutions are approximately:
$x \approx 5.242$
$x \approx 12.188$
$x \approx 20.570$
(ii) The end behavior of a polynomial is determined by its leading term, $0.25x^3$.
Since the leading coefficient is positive and the degree is odd, as $x \to \infty$, $g(x) \to \infty$.
The limit notation is $\lim_{x \to \infty} g(x) = \infty$.
Part C
(i) The function $f$ is best modeled by a logarithmic function.
(ii) In a logarithmic model, constant changes in the output values correspond to proportional changes in the input values.
As the output $f(x)$ increases by a constant $5$ ($0, 5, 10, 15 \dots$),
The input $x$ values are multiplied by a constant factor of $2$ ($1, 2, 4, 8 \dots$).
This constant ratio of inputs for constant additions of outputs is the hallmark of logarithmic growth.
Question

▶️ Answer/Explanation
(A) (i)
First, evaluate the inner function \(f(5)\) using the table: \(f(5) = 34\).
Next, substitute this value into \(g(x)\) to find \(h(5) = g(34)\).
\(g(34) = \frac{34^3 – 14(34) – 27}{34 + 2}\)
\(g(34) = \frac{39304 – 476 – 27}{36} = \frac{38801}{36}\)
\(h(5) \approx 1077.806\)
(A) (ii)
To find \(f^{-1}(4)\), we look for the input value \(x\) in the table that produces an output of \(4\).
The table shows that \(f(3) = 4\).
Therefore, \(f^{-1}(4) = 3\).
(B) (i)
Set \(g(x) = 3\) and solve for \(x\):
\(\frac{x^3 – 14x – 27}{x + 2} = 3\)
Multiply both sides by \((x+2)\): \(x^3 – 14x – 27 = 3(x + 2)\)
Simplify: \(x^3 – 14x – 27 = 3x + 6\)
Rearrange into polynomial form: \(x^3 – 17x – 33 = 0\)
Using a graphing calculator to find the zero of this polynomial:
\(x \approx 4.879\)
(B) (ii)
We evaluate the limit as \(x \to -\infty\) for \(g(x)\).
\(\lim_{x \to -\infty} \frac{x^3 – 14x – 27}{x + 2}\)
By examining the leading terms, the function behaves like \(\frac{x^3}{x} = x^2\) for large absolute values of \(x\).
As \(x \to -\infty\), \(x^2 \to \infty\).
\(\lim_{x \to -\infty} g(x) = \infty\)
(C) (i)
Calculate the first differences of \(f(x)\): \((-5) – (-10) = 5\), \(4 – (-5) = 9\), \(17 – 4 = 13\), \(34 – 17 = 17\).
Calculate the second differences: \(9 – 5 = 4\), \(13 – 9 = 4\), \(17 – 13 = 4\).
Since the second differences are constant, \(f\) is best modeled by a quadratic function.
(C) (ii)
The model is quadratic because for equal intervals of the input values \(x\) (step size of \(1\)), the rate of change of the output values increases by a constant amount (constant second difference of \(4\)).



