Question 1 of 25
A gym membership fee is tracked over months:
Month : 0, 1, 2, 3 Fee : \40$45$50$55$
Does this represent constant percent change (exponential) or constant additive change (linear)?
Algebra
Practice Test 15 for Algebra: real questions and explanations from the Varsity Tutors practice-test pool.
0%
0 / 25 answered
Question 1 of 25
A gym membership fee is tracked over months:
Month m: 0, 1, 2, 3 Fee F(m): \40,$45,$50,$55$
Does this represent constant percent change (exponential) or constant additive change (linear)?
Question Navigator
A gym membership fee is tracked over months:
Month m: 0, 1, 2, 3 Fee F(m): \40,$45,$50,$55$
Does this represent constant percent change (exponential) or constant additive change (linear)?
Explanation: This question tests your ability to recognize exponential relationships—situations where a quantity grows or decays by a constant percent rate per time period, which is very different from linear growth where you add the same amount each time. The key difference: linear growth adds the same amount each time (constant rate: +50, +50, +50), while exponential growth multiplies by the same percent each time (constant ratio: ×1.1, ×1.1, ×1.1). To check which: if differences are constant, it's linear; if ratios are constant, it's exponential. Example: 100, 150, 200, 250 has constant differences (+50) = linear. But 100, 110, 121, 133.1 has constant ratios (×1.1) = exponential! Let's check if this is exponential by finding ratios: From month 0 to 1: 45/40 = 1.125. From month 1 to 2: 50/45 = 1.111... From month 2 to 3: 55/50 = 1.1. The ratios differ (1.125, 1.111, 1.1), so this is NOT exponential. Now check differences: 45 - 40 = 5; 50 - 45 = 5; 55 - 50 = 5. All differences equal 5,confirminglineargrowth!ChoiceBcorrectlyidentifiesthisasconstantadditivegrowth(linear)becausethefeeincreasesbyexactly5 each month, not by a constant percent. Choice A confuses linear with exponential: it sees the pattern of increasing values and assumes exponential, but we need to check how they're changing. The differences are constant (+$5 each month), while the ratios are NOT constant. Constant addition = linear, constant multiplication = exponential! Exponential vs linear quick-check: calculate both differences AND ratios. If differences are constant (like +5, +5, +5), it's linear. If ratios are constant (like ×1.1, ×1.1, ×1.1), it's exponential. Can't be both! This two-part check prevents confusion between the types.
Complete the square to solve x2−4x+5=0 for complex solutions. Use i2=−1 and write the answers in a±bi form.
Explanation: This question tests your understanding of complex numbers and how to solve quadratic equations that have no real solutions but do have complex solutions involving the imaginary unit i. When a quadratic equation has discriminant b² - 4ac < 0 (negative), the quadratic formula gives √(negative), which means complex solutions: x = (-b ± √(b² - 4ac))/(2a) = (-b ± i√|b² - 4ac|)/(2a). We separate the real part (-b/(2a)) from the imaginary part (±√|b² - 4ac|/(2a))i to write in a + bi form. The solutions always come in conjugate pairs: a + bi and a - bi. Solving x² - 4x + 5 = 0 by completing the square: (1) Move constant: x² - 4x = -5. (2) Add (b/2)²: x² - 4x + 4 = -5 + 4 = -1. (3) Factor: (x - 2)² = -1. (4) Take square roots: x - 2 = ±√(-1) = ±i. (5) Solve: x = 2 ± i. The negative value after completing the square signals complex solutions! Choice B correctly identifies x = 2 ± i with accurate calculation using i² = -1. Choice D gives real solutions when the discriminant is negative. Check: b² - 4ac = (-4)² - 4(1)(5) = 16 - 20 = -4. Negative discriminant means NO real solutions—only complex ones. When you get √(negative) in the formula, you can't ignore it or treat it as positive. You must include i! The discriminant is your early warning system: before solving, check b² - 4ac. Positive = two real solutions (no i needed). Zero = one real solution (perfect square). Negative = two complex solutions (i will appear). This tells you what to expect! If discriminant is -4 and you end up with no i in your answer, something went wrong.
Given f(x)=2x−5 and g(x)=x2+1, find f(g(x)).
Explanation: This question tests your understanding of function composition—taking the output of one function and using it as the input for another function. Function composition f(g(x)) means 'f of g of x': first evaluate g(x), then take that result and plug it into f. Think of it like a two-step process or a chain: x goes into g, g(x) comes out, that goes into f, and f(g(x)) comes out. The inner function (g) is evaluated first, then the outer function (f) is applied to that result. To find f(g(x)) where f(x) = 2x - 5 and g(x) = x² + 1, we substitute the entire expression for g(x) into f: f(g(x)) = f(x² + 1) = 2(x² + 1) - 5 = 2x² + 2 - 5 = 2x² - 3. Every place you see x in f, you replace it with (x² + 1)—the whole thing, not just x! Choice A correctly composes the functions by properly substituting g into f, giving 2x² - 3. Choice D makes an arithmetic error: when expanding 2(x² + 1) - 5, we get 2x² + 2 - 5 = 2x² - 3, not 2x² - 5! When composing functions, there are multiple steps where calculation errors can creep in—always double-check each substitution and simplification! To compose functions into a formula: (1) Write down the inner function's expression g(x) = x² + 1, (2) In the outer function f(x) = 2x - 5, everywhere you see x, replace it with (x² + 1)—treat it as a single chunk, use parentheses!, (3) Simplify by expanding and combining like terms.
Complete the square to find the vertex of g(x)=−2x2+8x−1.
Explanation: This question tests your understanding of completing the square to rewrite a quadratic in vertex form, which reveals the maximum or minimum value. Completing the square transforms a quadratic from standard form (ax² + bx + c) into vertex form (a(x - h)² + k), which immediately shows us the vertex at (h, k)—the highest or lowest point on the parabola—without any calculation needed once we're in that form. Starting with g(x) = -2x² + 8x - 1, we first factor out -2 from the x terms: g(x) = -2(x² - 4x) - 1. Now complete the square inside: take half of -4 to get -2, square it to get 4, so g(x) = -2(x² - 4x + 4 - 4) - 1 = -2((x - 2)² - 4) - 1 = -2(x - 2)² + 8 - 1 = -2(x - 2)² + 7. Choice A is correct because it properly completes the square to get vertex form g(x) = -2(x - 2)² + 7, revealing the vertex at (2, 7). Excellent work! Choice B gives the vertex as (2, -9), which might happen if you made an error with the signs when distributing the -2. When we have -2 times -4, we get +8, not -8. Sign errors are common but avoidable with careful work! The easiest completing the square problems have even middle coefficients: x² + 6x is easier than x² + 7x because half of 6 is 3 (nice and clean), and 3² = 9. Look for these easier patterns when practicing! Remember why we're doing this: vertex form isn't just busywork—it instantly tells you the most important point on the parabola (the vertex) without graphing or calculating. In real-world problems, that vertex often represents the best or worst outcome, like maximum profit or minimum cost. Powerful stuff!
Which statement about growth rates is true for sufficiently large x?
Explanation: This question tests your understanding of a fundamental principle in mathematics: exponential functions eventually grow faster than any polynomial function—even very high-degree polynomials—when we look at large enough x-values. The growth hierarchy for large x-values is: exponential > polynomial > linear. Even a slow exponential like (1.01)^x will eventually exceed a fast polynomial like x^100 if we go far enough to the right. This happens because exponential growth is multiplicative (multiply by the same factor repeatedly), which compounds much faster than polynomial growth, which is additive-based (even if accelerating). The reason exponential beats polynomial is in their growth mechanisms: polynomials grow by addition-based patterns (linear adds same amount, quadratic adds linearly increasing amounts, cubic adds quadratically increasing amounts), while exponentials grow by multiplication (multiply by b each step). Multiplication compounds: 2^x means multiplying by 2 repeatedly (2, 4, 8, 16, 32, ...), which accelerates faster than even x^10 (1, 1024, 59049, ...). The multiplicative nature of exponentials guarantees eventual dominance over any additive pattern, no matter how accelerated! Choice B correctly identifies that an exponential like 1.05^x eventually grows faster than any polynomial like x^10, with the key insight into multiplicative compounding. Choice A claims the polynomial eventually grows faster than the exponential, but this is only true for small x-values! Looking at larger values: exponential takes over. The key word is 'eventually'—given enough time, exponential ALWAYS wins, even if polynomial starts ahead. The growth hierarchy you MUST remember: Exponential > Any Polynomial > Linear (for large x). Within polynomials: higher degree > lower degree. Within exponentials: larger base > smaller base. This hierarchy is a fundamental property of these function types—exponential growth is multiplicative and compounds, beating any additive pattern no matter how fast.
A rideshare company charges a flat booking fee plus a per-mile charge. The total cost C (in dollars) for a ride of m miles is C=2.25m+4.50. What does the 2.25 represent in this context?
Explanation: This question tests your ability to interpret the numbers in linear and exponential functions and understand what they mean in real-world contexts. In a linear function like y = mx + b, the slope m represents the rate of change—how much y increases (or decreases if negative) for each one-unit increase in x—while the y-intercept b represents the starting value or initial amount when x = 0. In the function C = 2.25m + 4.50, the slope 2.25 represents the rate of 2.25permile,andthey−intercept4.50representstheinitialbookingfeeof4.50 when no miles are traveled. So the full story is: you pay 4.50upfrontplus2.25 for each mile of the ride. Choice B is correct because it properly identifies that 2.25 represents the per-mile rate increase with units and context. Choice A confuses the slope with the y-intercept: the 2.25 is actually the slope, which represents the per-mile rate, not the initial fee—it's easy to mix these up when you're learning, but remember: in y = mx + b, m is the rate and b is the starting value! For linear functions y = mx + b in context: m is always the rate (the 'per' something amount—like 2.25permile),andbisalwaysthestartingvalue(theamountwhenx=0—like4.50 booking fee); if you can identify what's changing at a constant rate (that's m) vs what's there from the beginning (that's b), you've got it!
In the surface area formula for a cylinder, one part can be written as 2πr(r+h). Which describes the structure of 2πr(r+h)? (View (r+h) as a single unit.)
Explanation: This question tests your ability to look at a complicated expression and understand its overall structure by seeing certain parts as single 'chunks' rather than getting lost in all the details. When an expression looks overwhelming, we can make sense of it by identifying the main parts and temporarily treating complex subexpressions as single units—like viewing P(1+r)n as 'P times [some factor]' where we don't worry about what's inside that factor yet. This 'chunking' helps us see the big picture structure: is it a product? A sum? Something raised to a power? In the cylinder formula part 2πr(r+h), treating (r+h) as a single unit shows it's 2πr multiplied by that unit, making the whole thing a product of two chunks. Choice B correctly views the expression as a product of (2πr) and (r+h), recognizing that these chunks combine multiplicatively to represent the lateral surface area factor. It's easy to mistake it for a sum like in choice A, but by chunking (r+h), we see the multiplication is key—great job spotting that distinction! A helpful trick: circle or box the parts you want to treat as units. For example, in P(1+r)n, box the (1+r)n part and think 'P times [box].' This visual chunking helps your brain organize the structure. Once you understand the structure, then you can dive into the details of each part if needed!
A landscaping company plants trees in a triangular pattern. In the first row, they plant 1 tree. In the second row, they plant 3 trees. In the third row, they plant 5 trees, and so on, with each row containing 2 more trees than the previous row.
Which recursive formula represents Tn, the number of trees in the nth row?
Explanation: When you encounter recursive sequence problems, focus on identifying the pattern between consecutive terms and the starting value. A recursive formula needs two parts: an initial term and a rule showing how each term relates to the previous one. Let's trace through this tree-planting pattern. Row 1 has 1 tree, row 2 has 3 trees, row 3 has 5 trees. The pattern shows each row has exactly 2 more trees than the previous row: 1 → 3 (add 2) → 5 (add 2) → 7 (add 2), and so on. This means T1=1 and Tn=Tn−1+2 for n≥2. Let's verify: T2=T1+2=1+2=3 ✓, and T3=T2+2=3+2=5 ✓. Choice A incorrectly adds 2n instead of just 2. This would give T2=1+2(2)=5, which doesn't match our pattern where the second row has 3 trees. Choice B uses 2Tn−1+1, which doubles the previous term. This would give T2=2(1)+1=3, which works for row 2, but T3=2(3)+1=7, not the correct 5 trees. Choice C starts with T1=3, but the problem clearly states the first row has 1 tree, not 3. The correct answer is D. Study tip: Always test your recursive formula with the given values. Calculate the first few terms to verify your formula produces the correct sequence.
Rewrite x2/3 using radicals.
Explanation: This question tests your understanding of the connection between radicals and rational exponents, and how to rewrite expressions using exponent properties. Converting between radicals and rational exponents follows a simple pattern: the denominator of the exponent tells you which root (square root is 1/2, cube root is 1/3), and the numerator tells you what power. So ∛(x²) = x^(2/3) because we're taking the cube root (denominator 3) of x squared (numerator 2). To convert x^(2/3) to radical form, the denominator 3 tells us we need a cube root, and the numerator 2 tells us the power is 2, so x^(2/3) = ∛(x²). This can also be written as (∛x)², which gives the same result. Choice B is correct because x^(2/3) means the cube root (from denominator 3) of x squared (from numerator 2), which is written as ∛(x²). Choice A incorrectly gives √(x³), which would be x^(3/2), not x^(2/3) - the numerator and denominator roles are switched. The key to converting: denominator of exponent = which root, numerator = which power. So x^(3/4) means fourth root of x cubed: ⁴√(x³). To remember which is which, think '3 on top means power of 3, 4 on bottom means 4th root.' The fraction tells you everything!
How many solutions does the equation y=−2x+5 have? (Think about what its graph represents.)
Explanation: This question tests your understanding of a fundamental idea: the graph of an equation in two variables is the set of all solution pairs (x, y) plotted on the coordinate plane—it's a visual representation of every pair that makes the equation true. An equation like y = -2x + 5 has infinitely many solutions—any (x, y) pair where y equals -2x + 5 works: (0, 5), (1, 3), (2, 1), and so on. Rather than listing them all (impossible!), we plot them all at once, and they form a line. Every point on that line represents a solution, and every solution to the equation appears as a point on the line. The graph IS the complete solution set! The equation y = -2x + 5 has infinitely many solutions—for every x-value in the domain, there's a y-value making the equation true. Together, these (x, y) pairs form the solution set. When we graph them all, they create a straight line. This is why the graph is continuous: there's a solution for every x-value, and plotting them all gives us the continuous curve. Choice D correctly explains that the graph shows all solutions because linear equations have infinitely many solution pairs forming the line. Choice A thinks the graph has only finitely many solutions, but equations in two variables typically have infinitely many solutions: every point on the line is a solution. For y = -2x + 5, there are infinitely many (x, y) pairs that work—the graph shows them all as a continuous line! Understanding graphs as solution sets helps you see why we graph equations: rather than making huge tables of x and y values, we can SEE all solutions at once. The graph of y = x² shows every single pair where the y-value is the square of the x-value—infinitely many pairs—all in one picture. That's the power of graphing!
Should the boundary line for the inequality y≤−x+4 be solid or dashed?
Explanation: This question tests your understanding of graphing linear inequalities and how the solution is represented as a shaded half-plane on the coordinate plane. The boundary line for an inequality is the line you'd get if you changed the inequality to equals: for 2x + y > 6, the boundary is 2x + y = 6. The line is dashed for strict inequalities (< or >) because points ON the line don't satisfy the inequality, and solid for ≤ or ≥ because boundary points ARE solutions. For y ≤ -x + 4, the boundary is y = -x + 4, and since it includes 'or equal to' (≤), we draw a solid line starting from points like (0,4) and (4,0); the shading would be below the line because y is less than or equal to the line. Choice B correctly identifies the line as solid because the inequality includes equality with the ≤ symbol. If you picked A or C, you might have confused strict inequalities with this one—gently remember that the presence of 'or equal to' always means solid, regardless of slope or form. The solid-or-dashed rule is simple: if you see ≤ or ≥ (the inequality has a line underneath showing 'or equal to'), make the boundary line solid because those points are included. If you see < or > (strict inequality, no line underneath), make it dashed because boundary points don't count. Think: the line under the inequality symbol = solid line on the graph!
A town’s population is modeled by P(t)=500(0.90)t, where t is in years. What does the base 0.90 represent in this context?
Explanation: This question tests your understanding of exponential functions and how to identify whether they represent growth or decay and what the percent rate of change is. In an exponential function y = a·b^x, the base b tells you whether it's growth or decay: if b > 1 (bigger than 1), the function is growing exponentially; if 0 < b < 1 (between 0 and 1), it's decaying. The initial value a is what you start with when x = 0. Looking at the function P(t) = 500(0.90)^t, we check the base: 0.90 is less than 1, which means this is exponential decay. The base 0.90 means that each year, the population is 90% of what it was the previous year—that's a 10% decrease! Think of it this way: 0.90 = 1 - 0.10, so we're losing 10% each year. Choice A correctly identifies that the base 0.90 represents a 10% decrease each year by recognizing that 0.90 = 1 - 0.10. Excellent! Choice C confuses what the base represents: 0.90 doesn't mean losing 90%—it means keeping 90%, which is losing 10%! If we lost 90%, we'd only have 10% left, and the base would be 0.10. Real-world clue: 'percent depreciation' or 'percent decrease' means exponential decay. The base 0.90 tells us the population retains 90% each year, which is the same as saying it decreases by 10% each year. The problem language often tells you what type and what rate directly—you just translate to mathematical form!
Why doesn’t "irrational × irrational" have a single always-true result type? Choose the option that correctly supports the answer using two examples (one rational product and one irrational product).
Explanation: This question tests your understanding of how rational and irrational numbers behave under addition and multiplication—specifically, when operations on these number types produce rational versus irrational results, and why. However, operations between two irrational numbers can produce EITHER rational or irrational results—there's no universal rule: √2 · √2 = 2 (rational!), but √2 · √3 = √6 (irrational). Similarly, √5 + (-√5) = 0 (rational!), but √2 + √3 is irrational. This is why we can only make definitive statements about rational-rational operations and rational-irrational operations, not irrational-irrational. While rational operations with irrationals are predictable, irrational × irrational is NOT always irrational: Consider √2 · √2 = (√2)² = 2, which is rational! But √2 · √3 = √6, which is irrational. Similarly, irrational + irrational varies: π + (-π) = 0 (rational!), but π + √2 is irrational. The lack of a universal rule for irrational-irrational operations is why we can't make 'always' statements about them—we need specific examples to determine the result. Choice C correctly provides sound reasoning that sometimes irrational × irrational is rational and sometimes it's irrational, showing √2·√8=4 (rational) and √2·√3=√6 (irrational) as valid examples. Choice A claims irrational × irrational always equals irrational, but this isn't true: √2·√2 = 2 (rational) is a counterexample. Also, √2·√2 ≠ √4 as stated—it equals 2. Different examples, different results! Why can't we make rules for irrational + irrational or irrational × irrational? Because those operations can go either way! Examples: √2 + √2 = 2√2 (irrational) but √3 + (2 - √3) = 2 (rational). √2 · √2 = 2 (rational) but √2 · √3 = √6 (irrational). Without special structure, we can't predict. That's why the standard only asks about rational-rational and rational-irrational operations—those have universal rules!
An algorithm's processing time is modeled by T(n)=3⋅4n/3 where n is the input size. Which transformation reveals the processing time growth factor when input size increases by 1?
Explanation: Using 4n/3=(41/3)n, we get T(n)=3⋅(41/3)n≈3⋅(1.587)n. This shows that when n increases by 1, the processing time is multiplied by 41/3≈1.587. Choice B doesn't reveal the per-unit growth factor. Choice C uses an incorrect transformation. Choice D shows a different form that doesn't reveal the growth factor per unit increase.
Derive the finite geometric series sum formula. Starting from Sn=a+ar+ar2+⋯+arn−1, which expression correctly results from multiplying by r and subtracting to eliminate the middle terms (assume r=1)?
Explanation: This question tests your understanding of geometric series—the sum of terms from a geometric sequence—and how to use the formula S_n = a(1 - r^n)/(1 - r) to calculate these sums efficiently. The geometric series formula S_n = a(1 - r^n)/(1 - r) comes from a clever trick: write the sum S_n = a + ar + ar² + ... + ar^(n-1), then multiply by r to get rS_n = ar + ar² + ar³ + ... + ar^n. Subtracting these (S_n - rS_n) makes almost all terms cancel, leaving just S_n(1 - r) = a(1 - r^n), so S_n = a(1 - r^n)/(1 - r). The middle terms canceling is the magic that makes this work! Deriving S_n = a(1 - r^n)/(1 - r): (1) Write the sum: S_n = a + ar + ar² + ... + ar^(n-1). (2) Multiply both sides by r: rS_n = ar + ar² + ar³ + ... + ar^n. (3) Subtract second from first: S_n - rS_n = (a + ar + ar² + ... + ar^(n-1)) - (ar + ar² + ar³ + ... + ar^n). (4) Notice the cancellation: all middle terms cancel, leaving S_n - rS_n = a - ar^n. (5) Factor left side: S_n(1 - r) = a(1 - r^n). (6) Divide by (1 - r): S_n = a(1 - r^n)/(1 - r). This derivation shows why the formula works—it's not just memorization! Choice B correctly derives the formula through the subtraction method with S_n(1 - r) = a(1 - r^n), so S_n = a(1 - r^n)/(1 - r) with accurate arithmetic. Choice D makes an error in the derivation: when subtracting S_n - rS_n, the last term of S_n is ar^(n-1) and the last term of rS_n is ar^n, so we get a - ar^n, not a - ar^(n-1). The key insight is that ALL terms except the first and last cancel! Derivation memory aid: the trick is writing S_n, then writing rS_n (shifted one term), then subtracting. When you subtract, the middle terms align and cancel: S_n has 'ar' and rS_n has 'ar' (opposite signs, cancel!), S_n has 'ar²' and rS_n has 'ar²' (cancel!), etc. Only a from S_n and ar^n from rS_n don't cancel. This telescoping is the insight! Once you see it, you'll never forget the derivation.
Explain how bm/n=(nb)m extends integer exponent properties. Which statement gives the correct reasoning for b>0 and integers m, n>1?
Explanation: This question tests your understanding of WHY we define rational exponents the way we do—not just how to use them, but the mathematical reasoning that makes these definitions necessary if we want exponent properties to extend from integers to fractions. The definition b^(m/n) = ⁿ√(b^m) = (ⁿ√b)^m comes from applying exponent properties twice: if b^(m/n) = (b^m)^(1/n), then it's the nth root of b^m. Or if b^(m/n) = (b^(1/n))^m, then it's the nth root of b, raised to the m power. Both paths give the same result (because of commutativity of multiplication), and both require defining b^(1/n) as the nth root. The fraction exponent tells us: numerator = power, denominator = root! For b^(m/n), we have two equivalent paths using properties: We want (b^(m/n))^n = b^m to follow from the power property (b^a)^c = b^(ac). If we apply this: (b^(m/n))^n = b^((m/n)·n) = b^m. So b^(m/n) must be the value that when raised to the nth power gives b^m. What value satisfies this? The nth root of b^m! So b^(m/n) = ⁿ√(b^m). We can also show b^(m/n) = (ⁿ√b)^m using the power property differently: b^(m/n) = b^((1/n)·m) = (b^(1/n))^m = (ⁿ√b)^m. Both forms are equivalent! Choice B correctly explains that it follows because we want (b^(m/n))^n = b^m (from (b^a)^c = b^(ac)), so b^(m/n) must be an nth root of b^m, giving b^(m/n) = ⁿ√(b^m) = (ⁿ√b)^m with sound logical connection. Choice A says the definition is chosen because it makes calculations faster, not because it is required by exponent rules, but it's actually more fundamental than convenience—it's about consistency! If we define rational exponents any other way, the exponent properties we rely on would break. The radical definition is REQUIRED for mathematical consistency, not just handy. It's necessity, not convenience! The beauty of this system: by defining rational exponents as radicals, we make exponent properties universal—they work for integers (2, 3, -1), rationals (1/2, 2/3, -3/4), and even extend to all real numbers in higher math! The notation b^(m/n) unifies radical notation with exponential notation, letting us write ³√(x²) as x^(2/3) and use all our exponent rules. It's an elegant mathematical unification!
Let f(x)=x2−4x+1 and g(x)=3x−5. Find (f+g)(x).
Explanation: This question tests your ability to combine standard function types—like linear, quadratic, exponential, and constant functions—using arithmetic operations to build more complex functions. When we combine functions using addition, we write (f + g)(x) = f(x) + g(x), which means 'add the outputs': for any input x, evaluate both f(x) and g(x), then add those results. For example, if f(x) = 2x + 1 and g(x) = x², then (f + g)(x) = (2x + 1) + x² = x² + 2x + 1. The result is a new function that combines both behaviors! To find (f + g)(x) where f(x) = x² - 4x + 1 and g(x) = 3x - 5, we add the expressions: (f + g)(x) = (x² - 4x + 1) + (3x - 5) = x² - 4x + 3x + 1 - 5. Simplifying: x² - x - 4, a new function that combines quadratic and linear behaviors into another quadratic. Choice B correctly combines the functions by adding and simplifying to x² - x - 4. Choice A has a sign error when adding: it computes x² - 4x + 1 + 3x - 5 as x² - 7x + 6, but -4x + 3x is -x, not -7x, and 1 - 5 is -4, not +6—double-check your like terms! The recipe for combining functions: (1) Write out what (f + g)(x) means: f(x) + g(x), (2) Substitute the actual function expressions, (3) Perform the operation carefully (watch signs!), (4) Simplify by combining like terms. Common pitfall: don't confuse (f + g)(x) with f(g(x)). The notation (f + g)(x) means 'add the functions,' while f(g(x)) means 'composition' (plug g into f). If you see +, -, ×, or ÷ in the notation, you're combining outputs, not composing functions!
A ball’s height (in meters) after t seconds is modeled by H(t)=−t2+6t+1. Use completing the square to find the maximum height and when it occurs.
Explanation: This question tests your ability to use factoring and completing the square—two powerful techniques—to reveal important features of quadratic graphs like zeros (x-intercepts), vertex (the maximum or minimum point), and the axis of symmetry. Completing the square transforms a quadratic into vertex form f(x) = a(x - h)² + k, which reveals the vertex at (h, k) instantly—no calculation needed once you're in this form! The k-value is the maximum (if a < 0, opens down) or minimum (if a > 0, opens up), and the axis of symmetry is the vertical line x = h through the vertex. To complete the square for H(t) = -t² + 6t + 1: first factor out the -1 from the first two terms: H(t) = -(t² - 6t) + 1. Half of -6 is -3, squared is 9. So H(t) = -(t² - 6t + 9) + 9 + 1 = -(t - 3)² + 10. The vertex form shows vertex at (3, 10), which is the maximum since a = -1 < 0. The maximum value is 10. Choice A correctly completes the square to get -(t - 3)² + 10 showing maximum height 10 at t = 3. Choice B identifies the vertex correctly but confuses the meaning: the maximum height is 10 meters (not -10), occurring at t = 3 seconds. The k-value in vertex form is the actual maximum height, not a negative number! For applied problems: zeros often mean 'when does quantity reach zero' (ball hits ground, profit = 0, etc.), and vertex often means 'what's the best/worst outcome' (maximum height, minimum cost, etc.). Translate the math features (zeros, vertex) into context language (when, how much, what's optimal) to fully answer the question!
In the expression (x+4)(x−2), what are the factors?
Explanation: This question tests your understanding of the parts of algebraic expressions—specifically, how to identify factors. Factors are parts of an expression that are multiplied together: when you see multiplication (either with · or parentheses next to each other), you're looking at factors. For example, in 4(x + 3), the factors are 4 and (x + 3) because they're being multiplied. In (x + 4)(x - 2), we can see what's being multiplied together: it's (x + 4) times (x - 2). This means the factors are (x + 4) and (x - 2). Remember, factors are connected by multiplication, while terms are connected by addition and subtraction. Choice A is correct because it properly identifies the factors as (x + 4) and (x - 2), following the definition that factors are the multiplied parts. You've got it! Choice B is close, but it confuses terms with factors: it lists x, 4, x, -2 which are terms inside the parentheses, but the question asks for the main factors. Remember: terms are added/subtracted, factors are multiplied! Think of terms as 'ingredients being added together' and factors as 'ingredients being multiplied together.' In (x + 4)(x - 2), you're multiplying (x + 4) times (x - 2), so those are factors. But when you expand to x² + 2x - 8, you're adding x², 2x, and -8, so those are terms. Choice D treats parts inside parentheses as separate terms, but actually (x + 4) is grouped as one factor here. Terms are only separated by + and - at the outermost level!
If m(x)=2x2−3x+1, evaluate m(−1).
Explanation: This question tests your understanding of function notation and how to evaluate functions by substituting input values. To evaluate a function like m(x) = 2x² - 3x + 1 at a specific value, we replace every x with that value and calculate: m(-1) means substitute -1 for x, giving 2(-1)² - 3(-1) + 1. When evaluating with a negative number like m(-1), we need to be extra careful with signs! Substituting -1 for x in m(x) = 2x² - 3x + 1, we get m(-1) = 2(-1)² - 3(-1) + 1, which equals 2(1) + 3 + 1 = 2 + 3 + 1 = 6. Notice how the parentheses around -1 help keep track of the negative! Choice D is correct because it properly substitutes -1 for x in the function and calculates accurately: 2(-1)² - 3(-1) + 1 = 2(1) + 3 + 1 = 6. Nice work if you got this! Choice A (0) might result from sign errors, possibly calculating 2(-1) - 3(-1) + 1 without squaring the first term. Remember to follow the function formula exactly as written! When substituting negative numbers, always use parentheses to protect yourself from sign errors: write m(-1) = 2(-1)² - 3(-1) + 1. The parentheses keep everything clear! Remember that (-1)² = 1 and -3(-1) = +3, so negative inputs can lead to positive terms!
Multiply and simplify the rational expressions (the result will also be a rational expression): x2−4x2−9⋅x−3x+2
Explanation: This question tests your understanding of how to multiply rational expressions—algebraic fractions that work just like regular fractions but with variables. Multiplying rational expressions works just like multiplying numeric fractions: multiply the numerators together and multiply the denominators together, giving (a/b)·(c/d) = (ac)/(bd). But here's the smart way: factor first, cancel common factors, THEN multiply—it keeps the numbers smaller and the result already simplified! Let's factor everything first: (x²-9)/(x²-4) · (x+2)/(x-3) = [(x+3)(x-3)]/[(x+2)(x-2)] · (x+2)/(x-3). Now we can cancel: the (x-3) cancels from numerator and denominator, and the (x+2) cancels from numerator and denominator, leaving us with (x+3)/(x-2). Choice A correctly performs the multiplication and simplifies to (x+3)/(x-2) by factoring and canceling common factors. Great work! Choice B shows the unsimplified form without canceling, while choices C and D have incorrect denominators from factoring errors. The golden rule for multiplying and dividing rationals: factor everything you can BEFORE you multiply or cancel. This prevents working with huge expressions and catches opportunities to simplify. Example: [(x²-4)/x]·[x/(x+2)] looks messy, but factor x²-4 to get [(x+2)(x-2)/x]·[x/(x+2)], cancel the (x+2) and x, leaving just (x-2). So much cleaner!
A parking garage charges based on the function P(t)=5+2⌊t⌋ where t is time in hours and ⌊t⌋ is the greatest integer less than or equal to t.
Sarah parks for 2.7 hours. If the equation P(2.7)=c represents her total cost, what does the expression P(2.7)−P(1.3) represent?
Explanation: When you encounter function notation with operations between two function values, focus on what each piece represents and how their combination creates meaning in the real-world context. Let's calculate each value using P(t)=5+2⌊t⌋. For Sarah's 2.7-hour visit: P(2.7)=5+2⌊2.7⌋=5+2(2)=9 dollars. For a 1.3-hour visit: P(1.3)=5+2⌊1.3⌋=5+2(1)=7 dollars. Therefore, P(2.7)−P(1.3)=9−7=2 dollars. This difference represents how much more Sarah pays compared to someone parking for 1.3 hours, making D correct. Choice A confuses the mathematical operation with what's being measured. The expression P(2.7)−P(1.3) involves costs, not time differences. While the time difference is indeed 2.7−1.3=1.4 hours, that's not what this expression calculates. Choice B misinterprets the result. The $2 difference isn't the cost for parking 1.4 hours total—it's the additional cost between two different parking durations. Choice C incorrectly suggests we're finding an average rate. An average would require dividing by time, but this expression only subtracts costs. Study tip: When you see function differences like f(a)−f(b), always ask "What does this tell me about the relationship between the two scenarios?" The difference between function outputs typically represents how much one situation differs from another in terms of the function's measured quantity.
A quantity follows this table:
t: 0, 1, 2, 3 y: 50, 55, 60, 65
From the table, determine if there is constant percent change. If so, what is the percent rate per time unit?
Explanation: This question tests your ability to recognize exponential relationships—situations where a quantity grows or decays by a constant percent rate per time period, which is very different from linear growth where you add the same amount each time. From a table, to identify exponential with constant percent rate: divide consecutive y-values to find ratios. If y₂/y₁ = y₃/y₂ = y₄/y₃ = same number, that's your growth/decay factor b. If b > 1 (like 1.08), it's growth at (b-1)×100% = 8%. If 0 < b < 1 (like 0.92), it's decay at (1-b)×100% = 8% decay. Let's check if this is exponential by finding ratios: From t = 0 to 1: 55/50 = 1.1. From t = 1 to 2: 60/55 = 1.091... From t = 2 to 3: 65/60 = 1.083... The ratios differ (1.1, 1.091, 1.083), so this is NOT exponential. Now check differences: 55 - 50 = 5; 60 - 55 = 5; 65 - 60 = 5. All differences equal 5, confirming linear growth! Choice C correctly identifies this as linear (constant additive change), not constant percent change, because the quantity increases by exactly 5 each time period, not by a constant percent. Choice A says exponential growth at 10% when it's actually linear: it calculates only the first ratio 55/50 = 1.1 and concludes it's exponential without checking others. To confirm constant percent change, you must verify that ALL consecutive ratios are equal! If even one ratio differs, it's not exponential growth/decay. Always check at least 3 intervals. Exponential vs linear quick-check: calculate both differences AND ratios. If differences are constant (like +5, +5, +5), it's linear. If ratios are constant (like ×1.1, ×1.1, ×1.1), it's exponential. Can't be both! This two-part check prevents confusion between the types.
A bacteria culture starts with 200 bacteria and increases by 10% each hour. Write a function P(t) for the population after t hours.
Explanation: This question tests your ability to construct exponential functions from given information like descriptions. From context descriptions, listen for the clues: 'per,' 'each,' or 'constant rate' suggest linear (use that rate as slope), while 'percent growth,' 'doubles,' or 'halves' suggest exponential (convert to growth/decay factor). 'Starting with' or 'initial' tells you the y-intercept (linear) or initial value (exponential). Starts with 200 (initial a=200), increases by 10% each hour means growth factor b=1+0.10=1.10, so P(t)=200(1.10)^t. Choice A correctly constructs the exponential by using initial 200 and factor 1.10, giving P(t)=200(1.10)^t. Perfect! A mistake could be using decay like 0.90, but since it's increase, add to 1 for the factor. Context tip: if the problem says 'starts at [value],' that's your y-intercept (linear) or initial value (exponential). If it says 'increases by [number] each time,' that's slope (linear). If it says 'increases by [percent] each time' or 'multiplies by [number],' that's exponential with that as your rate or factor. The language tells you exactly what you need! For exponential from a table: (1) Find the initial value by looking at x = 0 (if in table) or work backward using the pattern, (2) Find the common ratio by dividing consecutive y-values: y₂/y₁ (should be the same for all consecutive pairs), (3) Write y = a·b^x with your values. Example: if y goes 5, 10, 20 as x goes 0, 1, 2, then a = 5, b = 10/5 = 2, so y = 5·2^x!
What are the quotient q(x) and remainder r(x) when dividing x3−4x2+x+6 by x−3? Then write x−3x3−4x2+x+6=q(x)+x−3r(x) with deg(r)<1.
Explanation: This question tests your understanding of polynomial division—rewriting a rational expression in the form quotient + remainder/divisor, just like how 17/5 = 3 + 2/5 in arithmetic. The division algorithm for polynomials says that any rational expression a(x)/b(x) can be rewritten as q(x) + r(x)/b(x), where q(x) is the quotient (the polynomial part), and r(x) is the remainder (what's left over in the numerator). The crucial requirement: the degree of the remainder r(x) must be less than the degree of the divisor b(x)—just like in numerical division where the remainder must be less than the divisor! Before dividing, check if numerator factors: x3−4x2+x+6 factors as (x−3)(x2−x−2) since it divides evenly (remainder 0), so the expression simplifies to x2−x−2 with no remainder term! Choice A correctly shows x2−x−2+x−30 where the quotient is quadratic and remainder has degree less than 1 (it's 0), giving the proper rewritten form. Choice B has a remainder of 6, but since it divides evenly, remainder should be 0—always check if factoring first makes the division unnecessary by plugging in the root (x=3) to see if it's zero! Before starting polynomial division, always check: (1) Can I factor the numerator and cancel with the denominator? If yes, simplify first—it might eliminate the division entirely! Verification is your friend: after dividing, multiply your quotient q(x) by the divisor b(x) and add your remainder r(x). You should get back the original numerator a(x). If you don't, there's an error somewhere in your division.