Trigonometry and Algebra Concepts

Definition: Study of the relationships between the angles and sides of triangles.
Key Functions:
- Sine (sin): Opposite side / Hypotenuse
- Cosine (cos): Adjacent side / Hypotenuse
- Tangent (tan): Opposite side / Adjacent side
Pythagorean Theorem: ( a^2 + b^2 = c^2 )
Unit Circle:
- Circle of radius 1 centered at the origin; key for defining trig functions.
- Angles measured in radians (360° = (2\pi) radians).
Trigonometric Identities:
- Reciprocal identities: ( \csc = \frac{1}{\sin}, \sec = \frac{1}{\cos}, \cot = \frac{1}{\tan} )
- Pythagorean identities: ( \sin^2x + \cos^2x = 1 )

Basic Concepts:
- Variables, constants, coefficients, and expressions.
- Operations: Addition, subtraction, multiplication, division.
Equations:
- Linear equations: ( ax + b = 0 )
- Quadratic equations: ( ax^2 + bx + c = 0 )
Factoring:
- Techniques: Common factor, difference of squares, trinomials.
Functions:
- Definition: Relationship between input (x) and output (f(x)).
- Types: Linear, quadratic, polynomial, rational, exponential, logarithmic.

Basic Shapes:
- Points, lines, angles, polygons (triangles, quadrilaterals), circles.
Properties:
- Triangle properties: Sum of angles = 180°, congruence (SSS, SAS, AAS).
- Circle: Circumference (C = 2\pi r), area (A = \pi r^2).
Theorems:
- Pythagorean theorem in right triangles.
- Area formulas for various shapes (e.g., rectangle: (A = l \times w)).

Data Types:
- Qualitative (categorical) vs. Quantitative (numerical).
Measures of Central Tendency:
- Mean (average), median (middle value), mode (most frequent).
Measures of Dispersion:
- Range, variance, standard deviation.
Probability:
- Basic concepts: Event, sample space, probability rules.
- Distributions: Normal distribution, binomial distribution.

Limits:
- Definition: Value that a function approaches as the input approaches a point.
- Notation: ( \lim_{x \to a} f(x) = L )
Derivatives:
- Definition: Measure of how a function changes as its input changes.
- Rules: Power rule, product rule, quotient rule, chain rule.
Integrals:
- Definition: Area under the curve, antiderivative.
- Fundamental Theorem of Calculus: Connects differentiation and integration.
Applications:
- Used in physics, engineering, economics for modeling and optimization.

Study of relationships between angles and sides of triangles.
Key functions:
- Sine (sin): Ratio of the opposite side to the hypotenuse.
- Cosine (cos): Ratio of the adjacent side to the hypotenuse.
- Tangent (tan): Ratio of the opposite side to the adjacent side.
Pythagorean Theorem: Describes the relationship among the sides of a right triangle, expressed as ( a^2 + b^2 = c^2 ).
Unit Circle:
- A circle with a radius of 1, centered at the origin, crucial for defining trigonometric functions.
- Angles are measured in radians; (360^\circ) corresponds to (2\pi) radians.
Trigonometric Identities:
- Reciprocal identities include ( \csc = \frac{1}{\sin} ), ( \sec = \frac{1}{\cos} ), and ( \cot = \frac{1}{\tan} ).
- Pythagorean identity is ( \sin^2x + \cos^2x = 1 ).

Basic concepts include variables, constants, coefficients, and expressions.
Fundamental operations consist of addition, subtraction, multiplication, and division.
Types of equations:
- Linear equations are represented as ( ax + b = 0 ).
- Quadratic equations take the form ( ax^2 + bx + c = 0 ).
Factoring techniques involve identifying common factors, utilizing the difference of squares, and working with trinomials.
Functions represent relationships between input (x) and output (f(x)), with various types including linear, quadratic, polynomial, rational, exponential, and logarithmic functions.

Basic shapes include points, lines, angles, polygons (triangles and quadrilaterals), and circles.
Triangle properties state that the sum of angles equals 180°, with congruence determined through SSS, SAS, and AAS criteria.
Circle properties include circumference calculated as (C = 2\pi r) and area given by (A = \pi r^2).
Key theorems include the Pythagorean theorem, applicable in right triangles, and area formulas for different shapes, such as (A = l \times w) for rectangles.

Data types are categorized into qualitative (categorical) and quantitative (numerical).
Measures of central tendency comprise mean (average), median (middle value), and mode (most frequent value).
Measures of dispersion include range, variance, and standard deviation, which indicate the spread of data points.
Probability concepts involve understanding events, sample spaces, and probability rules.
Important distributions in statistics include the normal distribution and the binomial distribution.

Limits: Define the value a function approaches as the input nears a particular point, denoted by ( \lim_{x \to a} f(x) = L ).
Derivatives: Represent how a function changes as its input varies, with rules such as power rule, product rule, quotient rule, and chain rule facilitating calculations.
Integrals: Represent the area under a curve and are viewed as antiderivatives involving the Fundamental Theorem of Calculus, which links differentiation and integration.
Applications of calculus are evident in fields like physics, engineering, and economics, especially for modeling and optimization tasks.