Math for Grade 10
1 Number Systems
1-1 Introduction to Number Systems
1-2 Types of Numbers
1-2 1 Natural Numbers
1-2 2 Whole Numbers
1-2 3 Integers
1-2 4 Rational Numbers
1-2 5 Irrational Numbers
1-2 6 Real Numbers
1-3 Properties of Numbers
1-3 1 Commutative Property
1-3 2 Associative Property
1-3 3 Distributive Property
1-3 4 Identity Property
1-3 5 Inverse Property
1-4 Operations with Real Numbers
1-4 1 Addition
1-4 2 Subtraction
1-4 3 Multiplication
1-4 4 Division
1-4 5 Order of Operations (PEMDASBODMAS)
1-5 Exponents and Radicals
1-5 1 Exponent Rules
1-5 2 Scientific Notation
1-5 3 Square Roots
1-5 4 Cube Roots
1-5 5 nth Roots
1-6 Rationalizing Denominators
2 Algebra
2-1 Introduction to Algebra
2-2 Expressions and Equations
2-2 1 Simplifying Algebraic Expressions
2-2 2 Linear Equations
2-2 3 Quadratic Equations
2-2 4 Solving Equations with Variables on Both Sides
2-2 5 Solving Literal Equations
2-3 Inequalities
2-3 1 Linear Inequalities
2-3 2 Quadratic Inequalities
2-3 3 Absolute Value Inequalities
2-4 Polynomials
2-4 1 Introduction to Polynomials
2-4 2 Adding and Subtracting Polynomials
2-4 3 Multiplying Polynomials
2-4 4 Factoring Polynomials
2-4 5 Special Products
2-5 Rational Expressions
2-5 1 Simplifying Rational Expressions
2-5 2 Multiplying and Dividing Rational Expressions
2-5 3 Adding and Subtracting Rational Expressions
2-5 4 Solving Rational Equations
2-6 Functions
2-6 1 Introduction to Functions
2-6 2 Function Notation
2-6 3 Graphing Functions
2-6 4 Linear Functions
2-6 5 Quadratic Functions
2-6 6 Polynomial Functions
2-6 7 Rational Functions
3 Geometry
3-1 Introduction to Geometry
3-2 Basic Geometric Figures
3-2 1 Points, Lines, and Planes
3-2 2 Angles
3-2 3 Triangles
3-2 4 Quadrilaterals
3-2 5 Circles
3-3 Geometric Properties and Relationships
3-3 1 Congruence and Similarity
3-3 2 Pythagorean Theorem
3-3 3 Triangle Inequality Theorem
3-4 Perimeter, Area, and Volume
3-4 1 Perimeter of Polygons
3-4 2 Area of Polygons
3-4 3 Area of Circles
3-4 4 Surface Area of Solids
3-4 5 Volume of Solids
3-5 Transformations
3-5 1 Translations
3-5 2 Reflections
3-5 3 Rotations
3-5 4 Dilations
4 Trigonometry
4-1 Introduction to Trigonometry
4-2 Trigonometric Ratios
4-2 1 Sine, Cosine, and Tangent
4-2 2 Reciprocal Trigonometric Functions
4-3 Solving Right Triangles
4-3 1 Using Trigonometric Ratios to Solve Right Triangles
4-3 2 Applications of Right Triangle Trigonometry
4-4 Trigonometric Identities
4-4 1 Pythagorean Identities
4-4 2 Angle Sum and Difference Identities
4-4 3 Double Angle Identities
4-5 Graphing Trigonometric Functions
4-5 1 Graphing Sine and Cosine Functions
4-5 2 Graphing Tangent Functions
4-5 3 Transformations of Trigonometric Graphs
5 Statistics and Probability
5-1 Introduction to Statistics
5-2 Data Collection and Representation
5-2 1 Types of Data
5-2 2 Frequency Distributions
5-2 3 Graphical Representations of Data
5-3 Measures of Central Tendency
5-3 1 Mean
5-3 2 Median
5-3 3 Mode
5-4 Measures of Dispersion
5-4 1 Range
5-4 2 Variance
5-4 3 Standard Deviation
5-5 Probability
5-5 1 Introduction to Probability
5-5 2 Basic Probability Concepts
5-5 3 Probability of Compound Events
5-5 4 Conditional Probability
5-6 Statistical Inference
5-6 1 Sampling and Sampling Distributions
5-6 2 Confidence Intervals
5-6 3 Hypothesis Testing
5-5-2 Basic Probability Concepts Explained

5-5-2 Basic Probability Concepts Explained

Key Concepts of Basic Probability

Basic probability concepts help in understanding the likelihood of events occurring. Key concepts include:

1. Sample Space

The sample space is the set of all possible outcomes of an experiment. It is denoted by \( S \).

Example:

For a single roll of a six-sided die, the sample space \( S \) is {1, 2, 3, 4, 5, 6}.

2. Event

An event is a subset of the sample space. It represents a specific outcome or a set of outcomes of interest.

Example:

For the die roll, an event \( E \) could be rolling an even number. Thus, \( E \) = {2, 4, 6}.

3. Probability of an Event

The probability of an event \( E \) occurring is calculated as:

\[ P(E) = \frac{\text{Number of favorable outcomes}}{\text{Total number of possible outcomes}} \]

Example:

For the event \( E \) of rolling an even number on a die, the probability is:

\[ P(E) = \frac{3}{6} = 0.5 \]

4. Complementary Events

Complementary events are events that are mutually exclusive and together make up the entire sample space. If \( E \) is an event, its complement \( E' \) is the event that \( E \) does not occur.

Example:

For the event \( E \) of rolling an even number, the complement \( E' \) is rolling an odd number. Thus, \( E' \) = {1, 3, 5}.

Examples and Analogies

To better understand basic probability concepts, consider the following analogy:

Imagine you are in a room with 100 different colored marbles. The sample space is all 100 marbles. If you are interested in the red marbles, the event is the subset of red marbles. The probability of picking a red marble is the number of red marbles divided by the total number of marbles. The complementary event is picking a marble that is not red.

Practical Applications

Understanding basic probability concepts is crucial for various real-world applications, such as: