Slide 1: Probability

  • Introduction to Probability
  • Definition of Probability
  • Concepts of Random Experiments and Events
  • Sample Space and Event Space
  • Basic Terminologies in Probability

Slide 2: Sample Space

  • Definition of Sample Space
  • Examples of Sample Space
    • Coin Toss: {H, T}
    • Rolling a Die: {1, 2, 3, 4, 5, 6}
  • Finite and Infinite Sample Spaces
  • Discrete and Continuous Sample Spaces
  • Empty Sample Space

Slide 3: Events

  • Definition of Events
  • Examples of Events
    • Coin Toss: Head (H)
    • Rolling a Die: Odd Number
  • Simple and Compound Events
  • Complementary Events
  • Mutually Exclusive and Non-Mutually Exclusive Events

Slide 4: Probability of an Event

  • Definition of Probability of an Event
  • Calculating Probability: P(E) = Number of favorable outcomes / Total number of outcomes
  • Probability as a Fraction, Decimal, and Percentage
  • Probability as a Measure of Uncertainty
  • Probability of Impossible and Certain Events

Slide 5: Laws of Probability

  • Addition Law of Probability
    • P(A or B) = P(A) + P(B) - P(A and B)
    • Mutually Exclusive Events
    • Non-Mutually Exclusive Events
  • Multiplication Law of Probability
    • P(A and B) = P(A) * P(B|A)
    • Independent Events
    • Dependent Events

Slide 6: Conditional Probability

  • Definition of Conditional Probability
  • Calculating Conditional Probability: P(A|B) = P(A and B) / P(B)
  • Interpreting Conditional Probability
  • Multiplication Rule for Independent Events
  • Bayes’ Theorem

Slide 7: Permutations

  • Introduction to Permutations
  • Factorial Notation (n!)
  • Permutations of n Objects Taken r at a Time: P(n, r)
  • Permutations of Distinct Objects
  • Permutations with Repetition

Slide 8: Permutations - Examples

  • Example: Arranging Letters in a Word
  • Example: Permutations with Repetition
  • Example: Permutations of a Subset

Slide 9: Combinations

  • Introduction to Combinations
  • Combinations of n Objects Taken r at a Time: C(n, r)
  • Combinations of Distinct Objects
  • Combinations with Repetition
  • Properties of Combinations

Slide 10: Combinations - Examples

  • Example: Selecting a Committee
  • Example: Combinations with Repetition
  • Example: Combinations using Pascal’s Triangle

Slide 11: Probability - Problem 1

  • There are 3 red balls and 2 blue balls in a bag. What is the probability of randomly selecting a red ball?
  • Sample Space: {R1, R2, R3, B1, B2}
  • Number of favorable outcomes: 3 (R1, R2, R3)
  • Total number of outcomes: 5 (R1, R2, R3, B1, B2)
  • Probability of selecting a red ball: P(R) = 3/5

Slide 12: Probability - Problem 2

  • A fair die is rolled. What is the probability of getting an odd number or a multiple of 3?
  • Sample Space: {1, 2, 3, 4, 5, 6}
  • Number of favorable outcomes for odd number: 3 (1, 3, 5)
  • Number of favorable outcomes for multiple of 3: 2 (3, 6)
  • Number of favorable outcomes for odd number or multiple of 3: 4 (1, 3, 5, 6)
  • Total number of outcomes: 6
  • Probability of getting an odd number or a multiple of 3: P(Odd or Multiple of 3) = 4/6 = 2/3

Slide 13: Probability - Problem 3

  • A bag contains 4 red balls and 5 blue balls. Two balls are drawn at random without replacement. Find the probability that both balls are red.
  • Sample Space: {R1, R2, R3, R4, B1, B2, B3, B4, B5}
  • Number of favorable outcomes: 4C2 = 6 (R1R2, R1R3, R1R4, R2R3, R2R4, R3R4)
  • Total number of outcomes: 9C2 = 36
  • Probability of both balls being red: P(2 Red Balls) = 6/36 = 1/6

Slide 14: Probability - Problem 4

  • Bag A contains 3 red balls and 2 blue balls, while Bag B contains 2 red balls and 4 blue balls. A fair coin is flipped. If it lands heads, a ball is drawn from Bag A; if it lands tails, a ball is drawn from Bag B. What is the probability of drawing a red ball?
  • Sample Space: {A, B}
  • Number of favorable outcomes for red ball: 3/5 (Bag A) + 2/6 (Bag B)
  • Probability of drawing a red ball: P(Red) = 1/2 * (3/5) + 1/2 * (2/6) = 13/30

Slide 15: Probability - Problem 5

  • A bag contains 5 white balls and 7 black balls. Two balls are drawn at random with replacement. Find the probability that both balls are white.
  • Sample Space: {W1, W2, W3, W4, W5, B1, B2, B3, B4, B5, B6, B7}
  • Number of favorable outcomes: 5C2 = 10 (W1W2, W1W3, W1W4, W1W5, W2W3, W2W4, W2W5, W3W4, W3W5, W4W5)
  • Total number of outcomes: 12C2 = 66
  • Probability of both balls being white: P(2 White Balls) = 10/66 = 5/33

Slide 16: Probability - Problem 6

  • Advance ball problem Question
    • Example Question: There are 20 different balls numbered 1 to 20. A child randomly selects 3 balls without replacement. What is the probability of selecting a ball with a prime number?
    • Number of favorable outcomes: 8 (2, 3, 5, 7, 11, 13, 17, 19)
    • Total number of outcomes: 20C3
    • Probability of selecting a ball with a prime number: P(Prime number) = 8/(20C3)

Slide 17: Trigonometry

  • Introduction to Trigonometry
  • Basics of Trigonometry
  • Right-Angled Triangle and Trigonometric Ratios
  • Sine, Cosine, and Tangent Ratios
  • Reciprocal and Pythagorean Identities

Slide 18: Trigonometric Ratios

  • Definition of Trigonometric Ratios
  • Sine (sin), Cosine (cos), and Tangent (tan)
  • Cosecant (cosec), Secant (sec), and Cotangent (cot)
  • Evaluating Trigonometric Ratios using Calculator
  • Unit Circle and Trigonometric Ratios

Slide 19: Trigonometric Identities

  • Pythagorean Identities
    • sin^2(x) + cos^2(x) = 1
    • 1 + tan^2(x) = sec^2(x)
    • 1 + cot^2(x) = cosec^2(x)
  • Reciprocal Identities
  • Quotient and Co-Quotient Identities
  • Co-Function Identities

Slide 20: Trigonometric Functions

  • Definition of Trigonometric Functions
  • Domain and Range of Trigonometric Functions
  • Graphs of Trigonometric Functions
  • Periodicity of Trigonometric Functions
  • Applications of Trigonometry

Slide 21: Probability - Problem 6

  • Example Question: There are 20 different balls numbered 1 to 20. A child randomly selects 3 balls without replacement. What is the probability of selecting a ball with a prime number?
  • Number of favorable outcomes: 8 (2, 3, 5, 7, 11, 13, 17, 19)
  • Total number of outcomes: 20C3
  • Probability of selecting a ball with a prime number: P(Prime number) = 8/(20C3)

Slide 22: Probability - Problem 7

  • A deck of 52 playing cards is shuffled. What is the probability of drawing a heart or a club?
  • Number of favorable outcomes for heart cards: 13
  • Number of favorable outcomes for club cards: 13
  • Number of favorable outcomes for heart or club cards: 26
  • Total number of outcomes: 52
  • Probability of drawing a heart or a club: P(Heart or Club) = 26/52 = 1/2

Slide 23: Probability - Problem 8

  • A bag contains 6 red balls, 4 blue balls, and 5 green balls. Two balls are drawn at random without replacement. Find the probability that both balls are blue.
  • Sample Space: {R1, R2, R3, R4, R5, R6, B1, B2, B3, B4, G1, G2, G3, G4, G5}
  • Number of favorable outcomes: 4C2 = 6 (B1B2, B1B3, B1B4, B2B3, B2B4, B3B4)
  • Total number of outcomes: 15C2 = 105
  • Probability of both balls being blue: P(2 Blue Balls) = 6/105 = 2/35

Slide 24: Probability - Problem 9

  • A box contains 8 red balls and 4 green balls. Three balls are drawn at random with replacement. Find the probability that all balls are green.
  • Sample Space: {R1, R2, R3, R4, R5, R6, R7, R8, G1, G2, G3, G4}
  • Number of favorable outcomes: 4C3 = 4 (G1G2G3, G1G2G4, G1G3G4, G2G3G4)
  • Total number of outcomes: 12^3 = 1728
  • Probability of all balls being green: P(3 Green Balls) = 4/1728 = 1/432

Slide 25: Trigonometry - Problem 1

  • Find the value of sin(45 degrees) by evaluating the trigonometric ratio.
  • Sine ratio: sin(45 degrees) = Opposite/Hypotenuse
  • In a 45-45-90 right-angled triangle, the opposite side and the hypotenuse are equal.
  • Let the length of both sides be ‘a’, then a/a = 1.
  • Therefore, sin(45 degrees) = 1

Slide 26: Trigonometry - Problem 2

  • Find the value of cos(60 degrees) by evaluating the trigonometric ratio.
  • Cosine ratio: cos(60 degrees) = Adjacent/Hypotenuse
  • In a 30-60-90 right-angled triangle, the adjacent side is half the length of the hypotenuse.
  • Let the length of the hypotenuse be ‘a’, then the length of the adjacent side is a/2.
  • Therefore, cos(60 degrees) = a/2 = 1/2

Slide 27: Trigonometry - Problem 3

  • Find the value of tan(30 degrees) by evaluating the trigonometric ratio.
  • Tangent ratio: tan(30 degrees) = Opposite/Adjacent
  • In a 30-60-90 right-angled triangle, the opposite side is half the length of the adjacent side.
  • Let the length of the adjacent side be ‘a’, then the length of the opposite side is a/2.
  • Therefore, tan(30 degrees) = (a/2) / a = 1/2

Slide 28: Trigonometry - Problem 4

  • Find the value of sec(45 degrees) by evaluating the trigonometric ratio.
  • Secant ratio: sec(45 degrees) = 1/cos(45 degrees)
  • We already found that cos(45 degrees) = 1/√2
  • Therefore, sec(45 degrees) = 1 / (1/√2) = √2

Slide 29: Trigonometry - Problem 5

  • Find the value of cot(60 degrees) by evaluating the trigonometric ratio.
  • Cotangent ratio: cot(60 degrees) = 1/tan(60 degrees)
  • We already found that tan(60 degrees) = √3
  • Therefore, cot(60 degrees) = 1 / (√3) = 1/√3

Slide 30: Trigonometry - Problem 6

  • Advance trigonometry problem
    • Example Question: A ladder is leaning against a wall. The ladder is 10 meters long and forms an angle of 60 degrees with the ground. How far is the base of the ladder from the wall?
    • The base of the ladder, the height of the wall, and the ladder form a right-angled triangle.
    • We can use the trigonometric ratio cosine to find the distance.
    • Cosine ratio: cos(60 degrees) = Adjacent/Hypotenuse
    • Let the distance between the base of the ladder and the wall be ‘x’.
    • Therefore, x/10 = cos(60 degrees)
    • Solving for x, x = 10 * cos(60 degrees) = 5 meters
    • The base of the ladder is 5 meters away from the wall.