California course

Math II

Connect real and complex numbers, polynomials, quadratics, proof, circles, trigonometry, probability, and modeling.

Problem types
786
Practice variants
3,144
Problem types

Page 9 of 22

Each problem type has four distinct practice variants. Open a preview to move among all four.

F-IF.9 M2-025-A08-V01

Compare the average rate of change of two functions on the same interval

Compare function properties across representations, especially quadratic comparisons.

Average rates are secant slopes, so both functions must use identical interval endpoints. We’ll find each pair of endpoint outputs, divide the signed output change by the common input change, …

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F-IF.9 M2-025-A09-V01

Compare two domain and range set records

Compare function properties across representations, especially quadratic comparisons.

Domain and range comparisons require four independent set records before any relation is named. We’ll project each representation onto its input and output axes, preserve endpoint inclusion, then compare domains …

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F-IF.9 M2-025-A11-V01

Decide whether an equation, graph, and table represent the same quadratic by comparing extrema and other key features

Compare function properties across representations, especially quadratic comparisons.

Agreement across an equation, graph, and table requires matching structure as well as a few values. We’ll derive the zeros, symmetry input, and vertex height from the equation, then test …

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F-IF.9 M2-025-A12-V01

Choose which function better fits a maximize-or-minimize goal by comparing extrema

Compare function properties across representations, especially quadratic comparisons.

A goal-based comparison begins by identifying which coordinate measures the objective. We’ll confirm that each vertex represents a maximum, compare the vertex output values for revenue, and keep the input …

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F-IF.9 M2-025-A13-V01

Evaluate a function-comparison claim

Compare function properties across representations, especially quadratic comparisons.

A comparison claim is supported only by evidence about the exact feature it names. We’ll use opening direction to interpret each vertex output as a maximum, compare those heights on …

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F-LE.3 M2-026-A01-V01

Compare linear and exponential table growth precisely

Compare growth of exponential, linear, quadratic, and other polynomial models using graphs/tables.

Growth patterns reveal themselves through different invariants: constant differences for linear models and constant ratios for exponential models. We’ll identify both patterns, compare corresponding rows for leads or ties, and …

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F-LE.3 M2-026-A02-V01

Compare quadratic and exponential table growth

Compare growth of exponential, linear, quadratic, and other polynomial models using graphs/tables.

Quadratic and exponential tables can cross more than once, so early leadership does not settle long-run growth. We’ll use first and second differences to identify the quadratic, ratios to identify …

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F-LE.3 M2-026-A03-V01

Compare exponential and polynomial growth from a graph

Compare growth of exponential, linear, quadratic, and other polynomial models using graphs/tables.

Long-run growth should be judged from later common inputs and the mechanisms that generate each model, not one early lead. We’ll verify an ordering reversal with exact values, measure the …

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F-LE.3 M2-026-A04-V01

Identify and verify the first overtaking row

Compare growth of exponential, linear, quadratic, and other polynomial models using graphs/tables.

The word first turns an overtake into an ordered-search problem. We’ll scan same-input comparisons from left to right, find the first strict reversal, and verify the immediately preceding row still …

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F-LE.3 M2-026-A07-V01

Select a usable window around a computed crossover

Compare growth of exponential, linear, quadratic, and other polynomial models using graphs/tables.

A useful crossover window must include evidence on both sides of the lead change while keeping that evidence visually separated. We’ll compute the bracketing inputs and outputs, test each window …

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F-LE.3 M2-026-A09-V01

Use model comparison to answer a decision context

Compare growth of exponential, linear, quadratic, and other polynomial models using graphs/tables.

A decision context fixes the comparison horizon and units before model type matters. We’ll translate each plan into its correct linear or exponential expression, evaluate both at the same time, …

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F-LE.3 M2-026-A11-V01

Compare two exact average rates of change

Compare growth of exponential, linear, quadratic, and other polynomial models using graphs/tables.

Exact average-rate comparison uses the same ordered interval and divides each output change by its width. We’ll evaluate both endpoint pairs, preserve the fractional rate instead of rounding, and subtract …

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F-LE.3 M2-026-R05-V01

Compare repeated multiplication with power growth

Compare growth of exponential, linear, quadratic, and other polynomial models using graphs/tables.

Shared outputs do not make two growth patterns the same, because classification depends on how each row changes. We’ll compare consecutive ratios with first and second differences, then connect those …

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F-LE.3 M2-026-R06-V01

Separate initial value from growth behavior

Compare growth of exponential, linear, quadratic, and other polynomial models using graphs/tables.

A larger output can come from a larger starting value without implying a faster growth rate. We’ll evaluate both models at zero, interpret their shared multiplier, and simplify a same-input …

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F-LE.3 M2-026-R10-V01

Audit a growth claim outside its graph window

Compare growth of exponential, linear, quadratic, and other polynomial models using graphs/tables.

A graph window supports claims only over the inputs it actually displays. We’ll verify the ordering at its boundary, extend both formulas to the same later input, and use any …

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F-LE.6 M2-027-A01-V01

Identify the initial height from a projectile function

Apply quadratic functions to physical situations such as projectile motion under gravity.

Initial height means the model’s output at the launch instant, so the decisive input is zero. We’ll substitute that input, observe which terms vanish, and distinguish the remaining position value …

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F-LE.6 M2-027-A02-V01

Identify the initial velocity in a projectile function

Apply quadratic functions to physical situations such as projectile motion under gravity.

In a standard projectile model, each coefficient has a physical role rather than merely being a number to compute with. We’ll match the linear time coefficient to initial vertical velocity, …

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F-LE.6 M2-027-A03-V01

Find the maximum height of a projectile from its quadratic model

Apply quadratic functions to physical situations such as projectile motion under gravity.

A negative leading coefficient makes the projectile’s vertex a peak, but the vertex has both a time coordinate and a height coordinate. We’ll locate the peak time, evaluate the model …

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F-LE.6 M2-027-A04-V01

Find when a projectile reaches its maximum height from a quadratic model

Apply quadratic functions to physical situations such as projectile motion under gravity.

Because the question asks when the maximum occurs, the needed quantity is the vertex input rather than its output. We’ll identify the quadratic coefficients, apply the axis formula with careful …

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F-LE.6 M2-027-A05-V01

Find when a projectile reaches the ground

Apply quadratic functions to physical situations such as projectile motion under gravity.

Reaching the ground translates to an output condition, so we begin by setting the height equal to zero. We’ll solve for every intercept time, then use the flight context to …

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F-LE.6 M2-027-A06-V01

Find when a projectile reaches a target height

Apply quadratic functions to physical situations such as projectile motion under gravity.

A target height becomes an equation between the projectile model and that output level. We’ll solve the resulting quadratic, verify every root in the physical flight interval, and interpret the …

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F-LE.6 M2-027-A07-V01

Interpret equal-height projectile times by symmetry

Apply quadratic functions to physical situations such as projectile motion under gravity.

Equal outputs on a projectile parabola come from inputs equally spaced around its symmetry axis. We’ll verify the shared height, average the two times to recover the peak time, and …

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F-LE.6 M2-027-A08-V01

Determine the meaningful domain for a projectile model

Apply quadratic functions to physical situations such as projectile motion under gravity.

A quadratic accepts every real input algebraically, but a projectile’s meaningful time interval is bounded by physical events. We’ll solve for the ground contacts, identify which one is launch and …

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F-LE.6 M2-027-A09-V01

Determine the meaningful range for a projectile model over a given domain

Apply quadratic functions to physical situations such as projectile motion under gravity.

The meaningful range is built from height outputs over the stated flight-time domain, not from the time endpoints themselves. We’ll evaluate both endpoints and the interior vertex, identify the attained …

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F-LE.6 M2-027-A10-V01

Build a complete projectile sketch record

Apply quadratic functions to physical situations such as projectile motion under gravity.

A reliable projectile sketch begins with a complete feature record rather than a guessed arc. We’ll find the ground contacts, use their midpoint and a function value for the vertex, …

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F-LE.6 M2-027-A12-V01

Evaluate a projectile design requirement

Apply quadratic functions to physical situations such as projectile motion under gravity.

A design requirement becomes a precise comparison at a specified physical time. We’ll confirm that time lies within the flight, evaluate the height there, test the required strict inequality, and …

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F-LE.6 M2-027-A13-V01

Read named projectile features from a graph or table

Apply quadratic functions to physical situations such as projectile motion under gravity.

A key-time table encodes the entire physical trajectory when each column is read as a time-height pair. We’ll identify the endpoint and peak rows, use equal-height symmetry to locate the …

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F-TF.8 M2-028-A01-V01

Use the Pythagorean identity to find sine when cosine and the quadrant are known

Prove and use sin^2(theta)+cos^2(theta)=1 to find trig values with quadrant information.

The Pythagorean identity determines the missing trig magnitude, while the quadrant determines its sign. We’ll substitute the known cosine, isolate sine squared, take both algebraic square roots, and then use …

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F-TF.8 M2-028-A02-V01

Use the Pythagorean identity to find cosine when sine and the quadrant are known

Prove and use sin^2(theta)+cos^2(theta)=1 to find trig values with quadrant information.

Finding a missing cosine has two stages: calculate its magnitude from the identity, then assign its sign from location. We’ll substitute the known sine, isolate cosine squared, take the square …

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F-TF.8 M2-028-A03-V01

Determine the signs of sine and cosine when the quadrant is known

Prove and use sin^2(theta)+cos^2(theta)=1 to find trig values with quadrant information.

Trig signs come directly from coordinates on the unit circle: cosine follows the horizontal coordinate and sine follows the vertical coordinate. We’ll locate the quadrant relative to both axes and …

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F-TF.8 M2-028-A04-V01

Verify whether a sine value and cosine value can belong to the same angle

Prove and use sin^2(theta)+cos^2(theta)=1 to find trig values with quadrant information.

A proposed sine-cosine pair belongs to one angle only if it lies on the unit circle. We’ll square both values exactly, add them under the Pythagorean identity, and use whether …

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F-TF.8 M2-028-A06-V01

Find an exact trigonometric value using the identity when one trig value and the quadrant are known

Prove and use sin^2(theta)+cos^2(theta)=1 to find trig values with quadrant information.

Exact trig work keeps the square-root magnitude separate from the quadrant sign. We’ll use the identity to find the missing square, simplify the radical without decimal approximation, and then use …

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F-TF.8 M2-028-A07-V01

Find a missing unit-circle coordinate using the Pythagorean identity and quadrant information

Prove and use sin^2(theta)+cos^2(theta)=1 to find trig values with quadrant information.

A point lies on the unit circle only when its squared coordinates add to one, which determines a missing coordinate’s magnitude. We’ll substitute the known coordinate, take both square roots, …

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F-TF.8 M2-028-A08-V01

Simplify a trigonometric expression using the Pythagorean identity

Prove and use sin^2(theta)+cos^2(theta)=1 to find trig values with quadrant information.

Identity simplification starts by matching the entire expression’s structure, not by manipulating its terms separately. We’ll recognize the complete sum of the two squared trig functions and replace that whole …

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F-TF.8 M2-028-A09-V01

Determine whether given sine and cosine values are possible for the same angle

Prove and use sin^2(theta)+cos^2(theta)=1 to find trig values with quadrant information.

A proposed sine-cosine pair must pass both a magnitude test and any sign constraints. We’ll confirm each value is in range, add their squares rather than the values themselves, and …

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F-TF.8 M2-028-A10-V01

Read separate sine and cosine values from a unit-circle point

Prove and use sin^2(theta)+cos^2(theta)=1 to find trig values with quadrant information.

Unit-circle coordinates have a fixed trig order: the horizontal coordinate is cosine and the vertical coordinate is sine. We’ll read the two values without swapping them, check their signs against …

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