few_shots: Example:
Problem/activity:
You’re mixing ingredients for cookies. The recipe says to combine 6 tablespoons, or ¾ stick, of butter with 1 cup of sugar. You accidentally mix in a whole stick of butter (8 tablespoons) with the cup of sugar. How can you fix this?


Mathematical concept/skill options: 
A. Analyze proportional relationships and use them to solve real-world and mathematical problems.
B. Understand ratio concepts and use ratio reasoning to solve problems.


Your response:
Thought: This problem focuses on the ratio between two ingredients. Students do not have to analyze proportional relationships in-depth, which is reserved for a higher grade level, but rather use ratios to find missing values.
Answer: B

Now, assign the following problem or activity to one or more relevant mathematical concepts/skills it teaches.
shot_info: fl_problem_000972

6
options: Define, evaluate, and compare functions.

Prove and apply trigonometric identities.

Analyze functions using different representations.

Build new functions from existing functions.

Construct and compare linear and exponential models and solve problems.

Extend the domain of trigonometric functions using the unit circle.

Understand the concept of a function and use function notation.

Build a function that models a relationship between two quantities.

Model periodic phenomena with trigonometric functions.

Use functions to model relationships between quantities.

Interpret expressions for functions in terms of the situation they model.

Interpret functions that arise in applications in terms of the context.
problem_activity: Task
Many computer applications use very complex mathematical algorithms. The faster the algorithm, the more smoothly the programs run. The running time of an algorithm depends on the total number of steps needed to complete the algorithm. For image processing, the running time of an algorithm increases as the size of the image increases.
For an $n$-by-$n$ image, algorithm 1 has running time given by $p(n) = n^3+3n+1$ and algorithm 2 has running time given by $q(n)=15n^2+5n+4$ (measured in nanoseconds, or $10^{-9}$ seconds ).
Compute the running time for both algorithms for images of size 10-by-10 pixels and 100-by-100 pixels.
Graph both running time polynomials in an appropriate window (or several windows if necessary).
Which algorithm is more efficient?


correct_option_index: 2