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Lesson 2 of 2

Probability · Lesson 2 of 2

Chapter Summary and Practice

Probability is just the mathematical study of how likely you are to blame bad luck for a decision you made with full confidence.

Learning Objectives

• By the end of this lesson, you should be able to. • Recall all major probability definitions and results quickly. • Choose between direct counting and the complement rule. • Solve mixed questions involving coins, dice, cards and random selection. • Check whether a proposed numerical answer can be a valid probability.

Probability becomes easier when you separate every question into two counts: all equally likely outcomes and the outcomes that make the required event happen. Most questions in this chapter are applications of that idea together with the complement rule.

Theoretical Probability

For equally likely outcomes, probability is the fraction of all possible outcomes that are favourable to the event.

Main formulaLaTeX

Elementary Events

An elementary event has exactly one outcome. The probabilities of all elementary events in an experiment add up to 1.

Complementary Events

The complement of E is the event that E does not happen.

Complement ruleLaTeX

Impossible, Certain and Valid Probabilities

ResultMeaning
P(E)=0Impossible event
P(E)=1Certain event
0≤P(E)≤1Every valid probability lies in this interval

Useful Counting Facts

ExperimentEqually likely outcomes
One fair coin2
One fair die6
Two different fair coins4
Two different fair dice36
One card from a standard deck52

How to Choose the Right Method

Question typeBest first move
Simple eventCount favourable and total outcomes directly
'Not E'Use 1-P(E) if E is easier
'At least one'Often calculate 1-P(none)
Two coins/two diceList ordered outcomes or use a table
Card questionRecall the 52-card deck structure
Proposed probability outside 0 to 1Reject it immediately
Common Mistakes

• Assuming events are equally likely without checking. • Treating HT and TH as identical for distinguishable coins. • Assuming all sums of two dice are equally likely. • Confusing 'not green' with one specific other colour. • Accepting a negative probability or a probability above 1.

Guided Practice

Worked Example: Complement

Problem
If P(E)=0.18, find P(not E).

  1. 1.E and not E are complementary.
  2. 2.P(not E)=1-P(E).
  3. 3.=1-0.18=0.82.
  4. 4.Therefore, P(not E)=0.82.
Worked Example: Coloured Balls

Problem
A bag contains 5 red balls and 7 black balls. Find the probability that a random ball is not red.

  1. 1.Total balls=12.
  2. 2.Not red means black, so favourable outcomes=7.
  3. 3.P(not red)=7/12.
  4. 4.Check: 1-P(red)=1-5/12=7/12.
Worked Example: Playing Cards

Problem
One card is drawn from a well-shuffled deck. Find the probability of a red face card.

  1. 1.Total outcomes=52.
  2. 2.Face cards are J, Q and K.
  3. 3.There are 3 face cards in each red suit and 2 red suits.
  4. 4.Red face cards=6.
  5. 5.P(red face card)=6/52=3/26.
Worked Example: Three Coin Tosses

Problem
A fair coin is tossed three times. Find the probability that all three results are the same.

  1. 1.Total ordered outcomes=2×2×2=8.
  2. 2.They are HHH, HHT, HTH, HTT, THH, THT, TTH, TTT.
  3. 3.All same occurs only for HHH and TTT.
  4. 4.P(all same)=2/8=1/4.
Worked Example: Two Dice

Problem
Two different fair dice are thrown. Find the probability that their sum is 7.

  1. 1.Total ordered outcomes=36.
  2. 2.Favourable pairs: (1,6),(2,5),(3,4),(4,3),(5,2),(6,1).
  3. 3.There are 6 favourable outcomes.
  4. 4.P(sum=7)=6/36=1/6.

Quiz

Quick check

Which value cannot be a probability?

Quick check

If P(E)=0.73, what is P(not E)?

Quick check

How many equally likely ordered outcomes are there when two different fair dice are thrown?

Quick check

A certain event has probability:

Quick check

For two different fair coins, which set gives the equally likely outcomes?

Before You Finish the Chapter

Make sure you can: • identify equally likely outcomes; • count favourable outcomes correctly; • use the complement rule confidently; • handle coin, die, card and selection questions; • reject any proposed probability outside [0,1].

Practice Problems

Practice Questions
  1. Complete: (i) P(E)+P(not E)=___. (ii) Probability of an impossible event=___. (iii) Probability of a certain event=___. (iv) 0≤P(E)≤___.
  2. Which cannot be a probability: 3/5, -0.2, 18%, 0.91? Give a reason.
  3. If P(E)=0.08, find P(not E).
  4. A bag contains only mango-flavoured sweets. One sweet is selected at random. Find P(orange-flavoured) and P(mango-flavoured).
  5. The probability that two students have different birthdays is 0.995. Find the probability that they have the same birthday.
  6. A bag contains 4 red balls and 7 black balls. Find P(red) and P(not red).
  7. A box contains 6 red, 9 white and 5 green marbles. Find P(red), P(white) and P(not green).
  8. A piggy bank contains 90 fifty-paise coins, 45 one-rupee coins, 30 two-rupee coins and 15 five-rupee coins. Find P(50p) and P(not ₹5).
  9. A spinner has 8 equal sectors numbered 1 to 8. Find P(8), P(odd), P(number>2) and P(number<9).
  10. A fair die is thrown once. Find P(prime), P(number strictly between 2 and 6), and P(odd).
  11. One card is drawn from a well-shuffled deck. Find P(red king), P(face card), P(red face card), P(jack of spades), and P(diamond).
  12. Eight defective pens are mixed with 112 good pens. One pen is selected at random. Find P(good).
  13. A box contains discs numbered 1 to 80. Find P(two-digit), P(perfect square), and P(divisible by 5).
  14. A fair coin is tossed three times. A player wins if all three results are identical. Find the probability that the player loses.
  15. A fair die is thrown twice. Find the probability that (i) 6 appears in neither throw, (ii) 6 appears at least once.

Key Takeaways

Key Takeaways

• Theoretical probability compares favourable outcomes with all equally likely outcomes. • P(E) always lies from 0 to 1. • P(E)=0 means impossible; P(E)=1 means certain. • Complementary probabilities add to 1. • Careful counting—not complicated algebra—is the main skill in this chapter.