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Revision Notes on Chance and Probability

Chance and Probability

Probability tells the degree of uncertainty. It measures the likelihood that an event will occur.

Experiment

An operation which can produce some well-defined outcomes is called an experiment.

Each outcome is called event.

Random Experiment

If the result of the experiment is not known then it is called a random experiment.

Example

If we throw a dice then the result could be any number from 1 – 6.

Dice

Outcomes

When we do an experiment then there could be different results, these possible results of the random experiment are called outcomes.

Some Experiments and Their Outcomes

Example

Tossing a coin

We get Head OR Tail, only two possible outcomes are possible (H, T).

Tossing Two coins

When two coins are tossed then there will be four possible outcomes are {(H, H), (H, T), (T, H), (T, T)}.

Equally Likely Outcomes

If every outcome has the same possibility of occurring these outcomes are called Equally Likely Outcomes.

Example

If we throw a dice then there is an equal chance of every no. to come while doing the random experiment. i.e. a dice has the same possibility of getting 1, 2, 3, 4, 5 and 6.

Linking Chances to the Probability

Formula of Probability

Example

What is the chance of getting 3 when we throw a dice?

Solution

There is only one chance to get 3 in one throw and the total possible outcomes are 6.

Hence the probability of getting =1/6.

Outcomes as Events

Each outcome or collection of outcomes of an experiment is called event.

 Probability

Example

If we throw a dice then getting each outcome 1, 2, 3, 4, 5 and 6 are events.

Example

What is the event of getting odd numbers when we throw a dice?

Solution

The probability of getting an odd number is 3(odd numbers are 1, 3, 5)

The total number of outcomes is 6.

The probability of getting an odd number = 3/6.

Example

What is the probability of spinning yellow?

Probability of spinning yellow

Here number of chance to come yellow while spinning is 3.

The total number of outcomes is 8.

Drawing a card from a well shuffled deck of 52 cards

Total cards in a deck = 52

We can classify types of cards in a deck in two ways:

  • Based on colour of cards 
  • Based on suits
  • Based on Colour of Cards

  • Red 
  • Black 
  • The suits which are represented by red cards are hearts and diamonds.

    While the suits represented by black cards are spades and clubs.

    There are 26 red cards and 26 black cards. 

    Let’s learn about the suits in a deck of cards.

    Based on Suits

    Suits in a deck of cards are the representations of red and black colour on the cards.

    Suits of Cards in a Deck

    Based on suits, the types of cards in a deck are: 

    (1) Spades (2) Clubs (3) Hearts (4) Diamonds

    There are 52 cards in a deck.

    Each card can be categorized into 4 suits constituting 13 cards each.

    There is one more categorization of a deck of cards: 

  • Face cards
  • Number cards
  • Aces
  • Face Cards

    These cards are also known as court cards.

    They are Kings, Queens, and Jacks in all 4 suits.

    Face Cards in a Deck      Face Cards in a Deck     Face Cards in a Deck

    Number Cards

    All the cards from 2 to 10 in any suit are called the number cards. 

    These cards have numbers on them along with each suit being equal to the number-on-number cards. 

    Aces

    There are 4 Aces in every deck, 1 of every suit. 

    Aces in a Deck

    Tips and Tricks

  • There are 13 cards of each suit, consisting of 1 Ace, 3 face cards, and 9 number cards.
  • There are 4 Aces, 12 face cards, and 36 number cards in a 52-card deck.
  • Probability of drawing any card will always lie between 0 and 1.
  • The number of spades, hearts, diamonds, and clubs is same in every pack of 52 cards.
  • Example 1: What is the probability of drawing a king from a deck of cards?

    Solution: Here the event E is drawing a king from a deck of cards.

    There are 52 cards in a deck of cards. 

    Hence, total number of outcomes = 52

    The number of favourable outcomes = 4 (as there are 4 kings in a deck)

    Hence, the probability of this event occurring is 

    P(E) = 4/52 = 1/13