Drawing Balls or Marbles from a Bag

If a bag holds coloured balls, each ball is equally likely to be drawn. The probability of a colour is P(colour)=number of balls of that colourtotal number of balls.P(\text{colour}) = \dfrac{\text{number of balls of that colour}}{\text{total number of balls}}.

For a bag with rr red and bb blue balls (total r+br+b): P(red)=rr+bP(\text{red}) = \dfrac{r}{r+b}, and P(blue)=br+bP(\text{blue}) = \dfrac{b}{r+b}; these add to 1.

Key Point: Total == all the balls, not just one colour. The colour counts are the numerators.

Spinners

A spinner divided into equal sectors is like a die with as many faces as sectors. If a spinner has nn equal sectors, each is equally likely, and P(a particular sector or colour)=number of favourable sectorsn.P(\text{a particular sector or colour}) = \dfrac{\text{number of favourable sectors}}{n}.

If the sectors are not equal, the outcomes are not equally likely and this simple formula does not apply directly.

Key Point: Equal sectors \Rightarrow equally likely. Count favourable sectors over total sectors.

A spinner divided into eight equal sectors numbered 1 to 8 with a pointer, so that each of the eight outcomes is equally likely.

Choosing a Number

When a number is picked at random from 11 to nn, each is equally likely. Then, for example:

  • P(even)P(\text{even}), P(prime)P(\text{prime}), P(a perfect square)P(\text{a perfect square}), P(a multiple of 5)P(\text{a multiple of 5}) are each (how many such numbers) ÷ n\div\ n.

Count the favourable numbers carefully — for instance, the perfect squares from 1 to 100 are 1,4,9,,1001,4,9,\dots,100 (ten of them), so P(perfect square)=10100=110P(\text{perfect square}) = \dfrac{10}{100} = \dfrac{1}{10}.

Key Point: List or count the favourable numbers in the given range, then divide by how many numbers there are.

Defective Items and Real-Life Counts

Everyday problems ("a lot of bulbs, some defective", "tickets in a box") are the same idea: P=favourable counttotal count.P = \dfrac{\text{favourable count}}{\text{total count}}. For 12 bulbs of which 3 are defective, P(defective)=312=14P(\text{defective}) = \dfrac{3}{12} = \dfrac14 and P(good)=912=34P(\text{good}) = \dfrac{9}{12} = \dfrac34.

Key Point: Identify the total and the favourable count from the wording — the formula never changes.

Solved Examples

Example 1: Coloured balls

A bag contains 5 red and 3 blue balls. One ball is drawn at random. Find P(red)P(\text{red}) and P(blue)P(\text{blue}).

Solution:

  1. Total =5+3=8= 5+3 = 8.
  2. P(red)=58P(\text{red}) = \dfrac58, P(blue)=38P(\text{blue}) = \dfrac38.

Final Answer: 58\dfrac58 and 38\dfrac38 (they add to 1).

Takeaway: Colour count over total count.

Example 2: Not a particular colour

A bag has 4 red, 5 green and 6 blue balls. Find the probability that a drawn ball is not green.

Solution:

  1. Total =4+5+6=15= 4+5+6 = 15; green =5= 5.
  2. P(not green)=1515=113=23P(\text{not green}) = 1 - \dfrac{5}{15} = 1 - \dfrac13 = \dfrac23.

Final Answer: 23\dfrac23.

Takeaway: Complement, or count the 4+6=104+6=10 non-green directly.

Example 3: Choosing a number

A number is chosen at random from 1 to 20. Find the probability that it is a multiple of 3.

Solution:

  1. Multiples of 3 from 1 to 20: 3,6,9,12,15,183,6,9,12,15,18 — six of them.
  2. P=620=310P = \dfrac{6}{20} = \dfrac{3}{10}.

Final Answer: 310\dfrac{3}{10}.

Takeaway: Count the favourable numbers in the range.

Example 4: Defective bulbs

A carton has 20 bulbs, 4 of them defective. One bulb is drawn. Find the probability it is (i) defective, (ii) good.

Solution:

  1. (i) P(defective)=420=15P(\text{defective}) = \dfrac{4}{20} = \dfrac15.
  2. (ii) P(good)=115=45P(\text{good}) = 1 - \dfrac15 = \dfrac45 (or 1620\dfrac{16}{20}).

Final Answer: (i) 15\dfrac15; (ii) 45\dfrac45.

Takeaway: Good ++ defective == all, so their probabilities add to 1.