Math 2 Quiz: Technology For System Verification

19 questions · exam conditions

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Technology For System VerificationQuestion 1 of 19

A computer finds that $x^3 = 2x + 1$ has solutions at $x ≈ -0.618, x ≈ 1.000,$ and $x ≈ 1.618$ . A student wants to verify $x ≈ 1.000$ by substituting $x = 1$ exactly and computes $1^3 = 1$ and $2(1) + 1 = 3$ . Since $1 ≠ 3$ , they conclude the computer made an error. What should the student reconsider?

The computer solution

x ≈ 1.000

is an approximation; substituting the exact value

x = 1

may not verify an approximate solution.

The equation

x^3 = 2x + 1

should be rearranged to

x^3 - 2x - 1 = 0

before solving to avoid computational errors.

Integer solutions to cubic equations must be verified by polynomial division rather than direct substitution.

The computer found complex solutions that appear real due to display rounding; all solutions should be verified in complex form.

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Math 2 Quiz

Math 2 Quiz: Technology For System Verification

Practice Technology For System Verification in Math 2 with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

What this quiz covers

This quiz focuses on Technology For System Verification, giving you a quick way to practice the rules, question types, and explanations that matter most for Math 2.

How to use this quiz

Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.

All questions

Question 1

The computer solution $x ≈ 1.000$ is an approximation; substituting the exact value $x = 1$ may not verify an approximate solution. (correct answer)
The equation $x^3 = 2x + 1$ should be rearranged to $x^3 - 2x - 1 = 0$ before solving to avoid computational errors.
Integer solutions to cubic equations must be verified by polynomial division rather than direct substitution.
The computer found complex solutions that appear real due to display rounding; all solutions should be verified in complex form.

Explanation: The correct answer is A. The computer reported

x ≈ 1.000

, which means the solution is close to but not exactly 1. The student incorrectly verified by substituting exactly

x = 1

, but should substitute

x = 1.000

or recognize that

x ≈ 1.000

means the actual solution is approximately 1. When the student substitutes exactly

x = 1

, it doesn't satisfy the equation, which is expected since 1 is not the exact solution. Choice B doesn't address the verification approach. Choice C is unnecessarily complex. Choice D is wrong because these are real solutions.

Question 2

Using a graphing calculator set to display 3 decimal places, a student solves $x^2 + y^2 = 20$ and $x + y = 2$ and gets intersection points at $(4.472, -2.472)$ and $(-2.472, 4.472)$ . When checking the first point: $x + y = 4.472 + (-2.472) = 2.000$ ✓, but $x^2 + y^2 = (4.472)^2 + (-2.472)^2 ≈ 26.110$ . What explains this discrepancy?

The calculator's 3-decimal display rounds the true solution values, and these rounded values don't satisfy the original equations precisely. (correct answer)
The linear equation $x + y = 2$ is easier for calculators to satisfy exactly, while the nonlinear equation accumulates more rounding error.
The system has no real solutions; the calculator is displaying complex solutions with the imaginary parts hidden by the display format.
The intersection algorithm prioritized satisfying $x + y = 2$ over $x^2 + y^2 = 20$ , creating a systematic error in the solution.

Explanation: The correct answer is A. The exact solutions involve

\sqrt{18} = 3\sqrt{2} ≈ 4.2426

, but the calculator displays this as

4.472

due to 3-decimal rounding. When we square the rounded values, we get

(4.472)^2 = 19.998

and

(-2.472)^2 = 6.111

, totaling about

26.109

, not

20

. The discrepancy arises because the display rounding doesn't preserve the original equation relationships. Choice B misunderstands how numerical solvers work. Choice C is wrong because real solutions exist. Choice D incorrectly assumes the algorithm has bias.

Question 3

A student uses a graphing calculator to solve the system $x^2 + y^2 = 25$ and $y = x^2 - 4$ . The calculator displays intersection points at approximately $(2.236, 1.000)$ and $(-2.236, 1.000)$ . When the student substitutes $x = 2.236$ into $x^2 + y^2 = 25$ , they get $y^2 = 19.999504$ , so $y ≈ 4.472$ . Which statement best explains this discrepancy?

The calculator made an error in finding the intersection points; the correct $y$ -coordinate should be approximately $4.472$ .
The student should substitute into $y = x^2 - 4$ instead, which gives the consistent result $y = 1.000$ .
The calculator's intersection algorithm uses rounding that may not satisfy both equations simultaneously when rounded values are substituted back. (correct answer)
The system has no real solutions, so the calculator's displayed intersections are computational artifacts that should be ignored.

Explanation: The correct answer is C. The calculator found the intersection points using numerical methods that involve rounding at intermediate steps. When we substitute the rounded coordinates back into one of the original equations, we get a slight discrepancy because the calculator's solution is approximate. The intersection algorithm balances errors across both equations, but substituting into just one equation magnifies the rounding error. Choice A is wrong because the calculator's intersection points are more accurate than substituting rounded values. Choice B misses the point about rounding discrepancies. Choice D is wrong because the system does have real solutions.

Question 4

A computer algebra system reports that $x^3 - x = 2\sin(x)$ has a solution at $x ≈ 1.8955$ . To verify, a student computes $x^3 - x = (1.8955)^3 - 1.8955 ≈ 4.911$ and $2\sin(1.8955) ≈ 1.894$ . The student suspects an error. What should they check first?

Whether the computer algebra system was solving a different equation or had incorrect input parameters for the trigonometric functions.
Whether their calculator is in the correct angle mode (radians vs degrees) when computing the sine function for verification. (correct answer)
Whether the computer algebra system used a different numerical method that converged to a local minimum instead of a zero.
Whether the solution represents a complex number that was incorrectly displayed as a real decimal approximation.

Explanation: The correct answer is B. If the student's calculator is in degree mode,

\sin(1.8955°) ≈ 0.033

, so

2\sin(1.8955°) ≈ 0.066

, which doesn't match

4.911

. However,

\sin(1.8955 \text{ radians}) ≈ 0.947

, so

2\sin(1.8955) ≈ 1.894

. This is the most common source of error in verification. The large discrepancy (4.911 vs 1.894) suggests a systematic error like wrong angle mode rather than just rounding. Choice A is less likely given the specific nature of the discrepancy. Choices C and D are possible but less common causes.

Question 5

A student uses a graphing calculator to solve $\ln(x) = \cos(x)$ and reports the solution $x ≈ 1.3029$ . For verification, they compute $\ln(1.3029) ≈ 0.2644$ and $\cos(1.3029) ≈ 0.2644$ . However, when they substitute $x = 1.303$ (rounded to three decimal places), they get $\ln(1.303) ≈ 0.2649$ and $\cos(1.303) ≈ 0.2639$ . What does this demonstrate?

The original solution is incorrect; the small difference between $0.2649$ and $0.2639$ indicates no solution exists near this point.
The calculator's internal precision is insufficient; a computer algebra system should be used instead for logarithmic-trigonometric equations.
Rounding the solution to fewer decimal places can introduce verification errors even when the original solution is correct. (correct answer)
This proves that transcendental equations require exact symbolic solutions rather than numerical approximations for meaningful verification.

Explanation: When working with numerical solutions to transcendental equations (equations mixing different function types like logarithmic and trigonometric), you need to understand how rounding affects verification accuracy. The student found that

x ≈ 1.3029

satisfies

\ln(x) = \cos(x)

because both sides equal approximately

0.2644

. This is correct verification. However, when they rounded to

x = 1.303

and got

\ln(1.303) ≈ 0.2649

and

\cos(1.303) ≈ 0.2639

, the values no longer match as closely. This illustrates how even small rounding changes can amplify differences in function values, making a correct solution appear incorrect during verification. Answer C correctly identifies this phenomenon: rounding the solution to fewer decimal places introduced verification errors despite the original four-decimal solution being accurate. Answer A is wrong because the small difference between

0.2649

and

0.2639

doesn't indicate no solution exists—it shows rounding error effects. Answer B incorrectly blames calculator precision when the issue is actually the student's rounding choice, not computational limitations. Answer D is wrong because numerical approximations are perfectly valid for transcendental equations; the verification discrepancy stems from rounding, not the inherent inadequacy of numerical methods. Study tip: When verifying numerical solutions to transcendental equations, use the same precision level as your original solution. If your calculator gives you a solution to four decimal places, don't round it to three for verification—the rounding error may make correct solutions appear wrong.

Question 6

Using computer software, a student solves $x^3 + y^3 = 9$ and $xy = 2$ and gets solutions including $(2.080, 0.962)$ . Their verification yields: $xy = (2.080)(0.962) ≈ 2.001$ ✓ and $x^3 + y^3 = (2.080)^3 + (0.962)^3 ≈ 8.998 + 0.890 ≈ 9.888$ . What conclusion is most appropriate?

The solution is incorrect; an error of $9.888$ vs $9.000$ (about 10%) is too large for acceptable numerical precision.
The verification confirms the solution within reasonable tolerance; both equations are satisfied to appropriate precision for nonlinear systems.
The student should increase computational precision and re-solve to reduce the verification error in the cubic equation.
The large error in $x^3 + y^3$ while $xy$ verifies well suggests a transcription error in recording the solution coordinates. (correct answer)

Explanation: The correct answer is D. The fact that

xy = 2.001

is extremely close to

2

(error of 0.05%) while

x^3 + y^3 = 9.888

differs significantly from

9

(error of 9.9%) suggests the coordinates were copied incorrectly. If both coordinates were wrong by similar relative amounts, both equations would show similar relative errors. The asymmetric error pattern points to transcription error. Choice A might be correct but doesn't explain the asymmetric errors. Choice B accepts too much error. Choice C doesn't address why one equation verifies much better than the other.

Question 7

Using a computer algebra system, Maria solves $\cos(x) = x^2 - 1$ on the interval $[0, 2\pi]$ and obtains $x ≈ 1.2837$ . To verify this solution, she evaluates both sides of the equation at this $x$ -value and finds $\cos(1.2837) ≈ 0.2999$ and $(1.2837)^2 - 1 ≈ 0.6479$ . What should Maria conclude?

The computer made a calculation error; she should re-enter the equation and solve again to get the correct solution.
The solution is incorrect because the two sides don't match; she should check if the computer found a local minimum of $|\cos(x) - (x^2 - 1)|$ instead. (correct answer)
This is the correct solution because computer algebra systems are always more accurate than manual verification using decimal approximations.
The discrepancy is within acceptable rounding error tolerance; she should verify by graphing both functions to confirm intersection near this point.

Explanation: The correct answer is B. The large discrepancy (0.2999 vs 0.6479) indicates the solution is incorrect, not just a rounding error. Some numerical solvers might find critical points of the difference function

|\cos(x) - (x^2 - 1)|

rather than actual zeros, especially if the solver was set to minimize rather than solve. Choice A oversimplifies the issue. Choice C is wrong because computer systems can make errors, and the verification clearly shows a problem. Choice D is wrong because this discrepancy is too large to be acceptable rounding error.

Question 8

Technology shows that $x^2 + y^2 = 10$ and $y = x^3 - 2x$ intersect at approximately $(-1.732, 1.000)$ . When substituting these values back: $(-1.732)^2 + (1.000)^2 ≈ 4.000$ and $1.000 ≈ (-1.732)^3 - 2(-1.732) ≈ 1.268$ . What is the best interpretation?

Both equations show significant error; the intersection point is likely incorrect and should be recalculated using higher precision.
The first equation has major error ( $4.000$ vs $10$ ); the second has minor error, suggesting a systematic calculation mistake. (correct answer)
The point $(-1.732, 1.000)$ approximates $(-\sqrt{3}, 1)$ ; verification should use exact values to check if this satisfies both equations.
The verification confirms the solution since both discrepancies are within acceptable tolerance for numerical approximations of nonlinear systems.

Explanation: The correct answer is B. The first equation gives

4.000

instead of

10

, which is a huge error (60% off), while the second equation shows

1.000

1.268

, which is much smaller (about 27% error). This suggests a systematic error, possibly that the student used

(-1.732, 1.000)

when the actual intersection is at a different point. Choice A misses that one error is much larger. Choice C is incorrect because

(-\sqrt{3})^2 + 1^2 = 3 + 1 = 4 ≠ 10

. Choice D is wrong because a 60% error is not acceptable tolerance.

Question 9

A graphing calculator shows that the system $x^2 + 2y^2 = 8$ and $xy = 2$ has intersection points at $(2, 1)$ , $(-2, -1)$ , $(1.414, 1.414)$ , and $(-1.414, -1.414)$ . When verifying the point $(1.414, 1.414)$ , substitution into $xy = 2$ gives $(1.414)(1.414) ≈ 1.999$ . Which approach would best address this verification?

Accept the solution since $1.999$ is sufficiently close to $2$ given that $1.414$ is an approximation of $\sqrt{2}$ . (correct answer)
Reject the solution and use algebraic methods to find the exact intersection points without decimal approximations.
Increase the calculator's precision to more decimal places and re-solve to get a more accurate approximation.
Conclude the calculator made an error since exact solutions should satisfy the equations exactly when substituted.

Explanation: The correct answer is A. The point

(1.414, 1.414)

represents

( \sqrt{2}, \sqrt{2})

, and

(\sqrt{2})(\sqrt{2}) = 2

exactly. The small discrepancy comes from using the decimal approximation

1.414 ≈ \sqrt{2}

. Since

(1.414)^2 = 1.999396 ≈ 2

, this verification confirms the solution is correct within rounding error. Choice B is unnecessarily strict for a verification exercise. Choice C would help but doesn't address the fundamental understanding that this is a rounding issue. Choice D shows misunderstanding of how decimal approximations work.

Question 10

Technology solves the system $x^2 - y^2 = 3$ and $xy = 1$ and reports four solutions. When verifying the solution $x ≈ 1.879, y ≈ 0.532$ , a student calculates: $x^2 - y^2 ≈ (1.879)^2 - (0.532)^2 ≈ 3.530 - 0.283 ≈ 3.247$ and $xy ≈ (1.879)(0.532) ≈ 0.999$ . How should this verification be interpreted?

The solution is acceptable since $3.247 ≈ 3$ and $0.999 ≈ 1$ are both within reasonable rounding tolerance for this system.
The second equation verifies well but the first suggests the technology may have found an approximate solution to a related optimization problem.
The first equation shows excessive error ( $3.247$ vs $3$ ); the student should check if they copied the coordinates correctly from the technology. (correct answer)
Both verifications show the solution is incorrect; the student should use algebraic substitution to solve the system exactly instead.

Explanation: When verifying solutions to nonlinear systems, you need to assess whether discrepancies indicate acceptable rounding error or suggest a more serious problem with the solution or data entry. Let's examine the verification results. For the second equation,

xy ≈ 0.999

is extremely close to the required value of 1 — this represents excellent agreement within expected rounding tolerance. However, for the first equation,

x^2 - y^2 ≈ 3.247

compared to the required value of 3 shows an error of about 0.247, which is roughly 8% off. This is surprisingly large given that the second equation verifies so well. This pattern — one equation verifying excellently while the other shows significant error — strongly suggests a transcription error rather than a fundamental problem with the technology's solution method. If the technology had computational issues, you'd typically see errors in both equations. Answer choice A incorrectly accepts the large discrepancy as reasonable rounding error, but 8% error is excessive for this level of precision. Choice B misinterprets the situation as an optimization problem issue, which doesn't explain the mixed verification results. Choice D overreacts by rejecting technology entirely, when the more likely explanation is human error in copying coordinates. Choice C correctly identifies that the first equation shows excessive error and recommends checking whether the coordinates were copied correctly — the most logical first step when one equation verifies well but another doesn't. Study tip: When verifying solutions and seeing mixed results, always double-check your transcription before questioning the solution method. Copying errors are far more common than systematic computational failures.

Question 11

Using technology to solve $e^x = x + 3$ , a student gets $x ≈ 1.049$ . For verification, they calculate $e^{1.049} ≈ 2.854$ and $1.049 + 3 = 4.049$ . The student concludes the solution is wrong because the values don't match. What is the most likely explanation for this discrepancy?

The equation $e^x = x + 3$ has no real solutions, so any numerical result is meaningless computational error.
The student's calculator is set to an inappropriate precision mode that rounds intermediate calculations too aggressively.
The technology found a different solution than intended; the student should verify they entered the correct equation format.
The large discrepancy suggests a transcription error when copying the solution value from the technology for manual verification. (correct answer)

Explanation: The correct answer is D. The actual solution to

e^x = x + 3

is approximately

x ≈ 1.170

, where both sides equal about

3.22

. The value

x = 1.049

gives

e^{1.049} ≈ 2.854

and

1.049 + 3 = 4.049

, which are far apart, suggesting the student miscopied the solution. Choice A is wrong because the equation does have a real solution. Choice B doesn't explain the magnitude of error. Choice C is possible but less likely than a simple transcription error given the large discrepancy.

Question 12

A CAS (Computer Algebra System) reports that $y = \ln(x)$ and $y = 2 - x^2$ intersect at $x \approx 1.31$ and $x \approx -0.74$ . When a student checks the negative solution by substituting $x = -0.74$ into $y = \ln(x)$ , their calculator displays an error message. What should the student conclude?

The CAS made an error since logarithms of negative numbers are undefined
The calculator needs to be set to complex number mode to verify the solution
The negative solution is extraneous and should be discarded from the solution set (correct answer)
The verification failed due to insufficient precision in the approximation

Explanation: The domain of

y = \ln(x)

x > 0

, so any negative x-value cannot be a valid solution to this system. The CAS likely found where

2 - x^2 = \ln(x)

algebraically without considering domain restrictions. The student should recognize that

x \approx -0.74

is extraneous because it's outside the domain of the logarithm function.

Question 13

Using a graphing calculator to solve $y = \sqrt{x + 3}$ and $x^2 + y^2 = 16$ , a student finds two intersection points: $(1.83, 2.20)$ and $(-2.17, 0.91)$ . When verifying the second solution, substituting $x = -2.17$ into the first equation gives $y \approx 0.91$ , but the calculator shows $y \approx 0.911$ . Meanwhile, checking $(-2.17)^2 + (0.91)^2 = 5.54$ , not $16$ . What is the primary issue?

The calculator's square root function has computational errors for negative inputs
The second intersection point is incorrectly identified by the graphing calculator (correct answer)
Multiple rounding errors have accumulated to create a large verification discrepancy
The system has no real solutions in this region

Explanation: When solving systems of equations using graphing calculators, you need to recognize when technology gives you false intersections due to display limitations or computational approximations. Let's verify the second solution systematically. The equation

y = \sqrt{x + 3}

with

x = -2.17

gives

y = \sqrt{0.83} \approx 0.911

, which matches the calculator. However, checking this point in the circle equation:

(-2.17)^2 + (0.911)^2 = 4.71 + 0.83 = 5.54

, not 16. This massive discrepancy (5.54 vs 16) indicates this isn't a real intersection point. The correct answer is B. The graphing calculator incorrectly identified this as an intersection point, likely because the curves appear to intersect on the display but don't actually meet mathematically. This commonly happens when graph resolution makes curves look like they touch when they're actually close but separate. Option A is wrong because square root functions work fine for positive inputs (

-2.17 + 3 = 0.83 > 0

). Option C misses the point—while small rounding errors occur, the 10.46 difference between 5.54 and 16 far exceeds any reasonable rounding error accumulation. Option D is incorrect because real solutions do exist in this region (the first intersection point

(1.83, 2.20)

verifies correctly). Study tip: Always verify graphing calculator intersections algebraically, especially when the curves appear to barely touch. Technology can show false intersections due to pixel limitations—your algebra will catch these errors.

Question 14

When solving $x^2 + y^2 = 10$ and $y = x^2 - 4$ using a graphing calculator set to display 2 decimal places, a student gets solutions including $(1.73, -1.01)$ . Verification gives $x^2 + y^2 = 2.99 + 1.02 = 4.01$ and $y = (1.73)^2 - 4 = -1.01$ . Why does one equation verify exactly while the other shows significant error?

The quadratic equation is more sensitive to rounding errors than linear equations
Circular equations inherently have larger computational errors than polynomial equations
The calculator has different precision settings for different types of equations
The sum of two rounded squares compounds rounding errors more than a single operation (correct answer)

Explanation: When you encounter system-solving problems involving rounded decimal approximations, pay close attention to how rounding errors accumulate through different types of calculations. Let's examine what happens with each equation. For

y = x^2 - 4

, you're performing just one squaring operation:

(1.73)^2 = 2.9929

, which rounds to

2.99

, then subtracting

4

gives

-1.01

. This matches the

y

-coordinate exactly because there's minimal error accumulation. However, for

x^2 + y^2 = 10

, you're adding two squared terms:

(1.73)^2 + (-1.01)^2

. Each squaring operation introduces its own rounding error, and when you add these rounded results together, those errors compound. The calculator shows

2.99 + 1.02 = 4.01

instead of the expected

10

, creating a significant discrepancy. Answer choice A incorrectly suggests quadratic equations are inherently more error-prone than linear ones, but

y = x^2 - 4

verified perfectly. Choice B makes a false distinction about circular equations having larger computational errors. Choice C incorrectly implies calculators use different precision settings for different equation types, which isn't how calculators function. Choice D correctly identifies that the sum of two rounded squares compounds rounding errors more than a single operation, explaining why

x^2 + y^2

shows significant error while

y = x^2 - 4

verifies exactly. Study tip: When working with approximate solutions, remember that operations involving multiple rounded values (especially addition/subtraction) will show more error accumulation than single operations.

Question 15

A student uses a graphing utility to solve $y = \sin(x)$ and $y = 0.5x$ for $x \in [0, 2\pi]$ . The calculator reports intersection at $x \approx 1.896$ . When the student changes the calculator to radian mode and re-verifies, they get $\sin(1.896) \approx 0.948$ and $0.5(1.896) = 0.948$ . Previously in degree mode, they had gotten $\sin(1.896) \approx 0.033$ . What does this scenario illustrate about technology verification?

Calculator settings can create apparent discrepancies that aren't due to rounding errors (correct answer)
Trigonometric functions are inherently less reliable for solution verification
The intersection point changes depending on the calculator's angle mode setting
Degree mode provides more accurate results for this type of system

Explanation: This illustrates that verification discrepancies aren't always due to rounding errors. Incorrect calculator settings (degree vs. radian mode) can cause large verification errors even when the solution is correct. This emphasizes the importance of checking calculator settings as part of the verification process, not just looking for rounding-related discrepancies.

Question 16

When solving $xy = 12$ and $x^2 - y^2 = 5$ using technology, a student obtains solutions $(3.606, 3.328)$ and $(-3.606, -3.328)$ . Verification shows that for the first solution, $xy = 12.003$ and $x^2 - y^2 = 4.997$ . Which statement best explains why both equations show small errors rather than just one?

The calculator has systematic errors in all arithmetic operations
Rounding errors in the coordinates propagate through all verification calculations (correct answer)
The system is inconsistent and has no exact solutions
The nonlinear nature of the system amplifies errors unpredictably

Explanation: When coordinates are rounded for display, these rounding errors affect all subsequent calculations. Since both equations involve products or differences of the rounded coordinates, both verification calculations inherit the rounding errors. This is expected behavior when using approximate coordinates to verify exact relationships.

Question 17

A student uses a graphing calculator to solve the system $y = x^2 - 4x + 1$ and $y = 2x - 5$ . The calculator displays the intersection points as $(2.449, -0.102)$ and $(1.551, -1.898)$ . When the student substitutes $x = 2.449$ into the first equation, they get $y = -0.097$ , but substituting into the second equation gives $y = -0.102$ . What is the most likely explanation for this discrepancy?

The calculator made an error in finding the intersection points
The system has no solution, so the calculator results are meaningless
Rounding in the displayed coordinates causes slight verification errors (correct answer)
The equations were entered incorrectly into the calculator

Explanation: The discrepancy occurs because the calculator displays coordinates rounded to three decimal places, but the actual intersection coordinates have more precision. When these rounded values are substituted back into the original equations, small errors appear due to the loss of precision in the rounding process. This is a common and expected phenomenon when verifying solutions from technology.

Question 18

A student uses technology to solve $y = e^x$ and $y = x^3 - x + 2$ and finds the solution $x \approx 1.146$ . When verifying, $e^{1.146} \approx 3.144$ and $(1.146)^3 - 1.146 + 2 \approx 3.149$ . The student concludes the solution is incorrect because the y-values don't match exactly. How should you respond to this conclusion?

The student is correct; exact solutions must yield identical y-values
The difference of 0.005 indicates a significant error in the solution
The verification method is flawed for transcendental equations
This small discrepancy is expected due to rounding in the displayed x-coordinate (correct answer)

Explanation: When solving equations involving transcendental functions like

e^x

, you'll often encounter situations where technology gives you approximate solutions that need verification. Understanding why small discrepancies occur is crucial for interpreting these results correctly. The key insight here is that when technology displays

x \approx 1.146

, this is already a rounded value. The actual solution likely has many more decimal places, but the display shows only three. When you substitute this rounded value back into both equations, you're introducing rounding error that compounds through the calculations. Let's see why answer D is correct: The small difference of 0.005 between

e^{1.146} \approx 3.144

and

(1.146)^3 - 1.146 + 2 \approx 3.149

is entirely expected. If the true solution were, say,

x = 1.1463...

and both functions equal approximately 3.147, then using the rounded

x = 1.146

would produce slightly different y-values due to the rounding error. Answer A is wrong because exact matches aren't expected when using rounded approximations. Answer B misinterprets the significance of the error—0.005 is actually quite small relative to the y-values around 3.1. Answer C incorrectly suggests the verification method itself is flawed, when it's actually the proper way to check solutions. Remember: When verifying technology-generated solutions, small discrepancies in y-values (typically in the thousandths) usually indicate the solution is correct, just subject to rounding limitations in the display.

Question 19

Using technology to solve $x^2 - xy + y^2 = 7$ and $x + y = 4$ , a student obtains solutions $(3.32, 0.68)$ and $(0.68, 3.32)$ . When verifying the first solution, $x + y = 3.32 + 0.68 = 4.00$ exactly, but $x^2 - xy + y^2 = 11.02 - 2.26 + 0.46 = 9.22$ . Given that both coordinates were rounded to 2 decimal places, is this verification discrepancy reasonable?

No, the error of 2.22 is too large to be explained by rounding alone (correct answer)
Yes, because the first equation involves more complex operations than the second
No, if the solution were correct, both equations should show similar error magnitudes
Yes, because squared terms amplify small coordinate errors significantly

Explanation: An error of

2.22

(from

7

9.22

) represents about a

32\%

discrepancy, which is far too large to be explained by rounding coordinates to 2 decimal places. Typical rounding errors in verification produce much smaller discrepancies. This large error suggests either an incorrect solution identification or a significant input error, not just rounding effects.