Probability
Definition
• Chance of happening an event/outcome.
• Formula:
• Probability=
Value of probability
• Minimum = zero
• Maximum= 1.
• It can never be less than zero or more than 1.
Important terms
• Experiment/trial
• Equally likely events: e.g. getting a head or tail in a coin toss
• Not Equally likely events: e.g getting a head in a coin toss and getting no. 2 in a
dice roll.
• Mutually exclusive events: Those event which cant occur together. e.g. probability
of getting head and tail together in a coin toss
• Not mutually exclusive events: Those events which can occur together. E.g.
Getting no. 2 and even number in a dice roll.
• Sample space: Maximum outcomes of any experiment. For e.g. tossing a coin have
2 outcomes- head and tail.
• Rolling a dice has 6 outcomes – 1,2,3,4,5,6.
Numerical : we are tossing a coin, what is
probability of getting a head
• Probability=
• P(H)=
• P(T)=
What is probability of getting no. “1” , in a
dice throw
• Probability=
• P(1) =
• P(2) =
• P(3) =
• P(4) =
• P(5) =
• P(6) =
What is probability of getting even no. and
odd no., in two different dice throw
• Probability=
• P(even no.) =
• P(odd no.) =
Today is Monday, what is probability of having
Sunday tomorrow
• Probability=
• Impossible event
• P(having Sunday after monday) = Zero
Today is Monday ,Probability of getting
Tuesday tomorrow?
• Probability=
• Sure event
• P(having Tuesday after monday)= 1
Rules of probability
Addition rule (OR rule)
• Mutually exclusive
P(A
• Not Mutually exclusive
P(
Multiplication rule (AND rule)
• Independent events
P(
• Dependent events
What is the probability of getting Ace or King
in a card taken out from a stack of playing card
• Addition rule (OR rule)
Mutually exclusive
• P(A
• P(A
Find out probability of getting heart or spade
in a card taken out from a stack of playing card
• Addition rule (OR rule)
Mutually exclusive
• P(A
• P(A
Find out probability of getting queen or black colour
in a card taken out from a stack of playing card
• Not Mutually exclusive
• P(
•
• P(
• P(
Find out probability of getting king or heart in a
card taken out from a stack of playing card
• Not Mutually exclusive
• P(
•
• P(
• P(
Two coin are tossed, what is probability of
getting head on first and tail on second
• Multiplication rule (AND rule)
• Independent events
• P(
• P(
There are 2 packets of playing cards. What is probability
of getting ace from 1st
and king from 2nd
card.
• Multiplication rule (AND rule)
• Independent events
• P(
• P(
There is one packet of playing card, we have taken out 2 cards
from it. What is probability of getting ace in 1st
and king in 2nd
.
• Dependent events
•
There is one packet of playing card, we have taken out 2 cards
from it. What is probability of getting two ace in 1st
and 2nd
both.
• Dependent events
•
A table of 5 students has 3 seniors and 2 juniors. The teacher is going to pick 2
students at random from this group to present homework solutions. What is the
probability that both picked students are juniors?
• Dependent events
•

Probability environmental studies material

  • 1.
  • 2.
    Definition • Chance ofhappening an event/outcome. • Formula: • Probability=
  • 3.
    Value of probability •Minimum = zero • Maximum= 1. • It can never be less than zero or more than 1.
  • 4.
    Important terms • Experiment/trial •Equally likely events: e.g. getting a head or tail in a coin toss • Not Equally likely events: e.g getting a head in a coin toss and getting no. 2 in a dice roll. • Mutually exclusive events: Those event which cant occur together. e.g. probability of getting head and tail together in a coin toss • Not mutually exclusive events: Those events which can occur together. E.g. Getting no. 2 and even number in a dice roll. • Sample space: Maximum outcomes of any experiment. For e.g. tossing a coin have 2 outcomes- head and tail. • Rolling a dice has 6 outcomes – 1,2,3,4,5,6.
  • 5.
    Numerical : weare tossing a coin, what is probability of getting a head • Probability= • P(H)= • P(T)=
  • 6.
    What is probabilityof getting no. “1” , in a dice throw • Probability= • P(1) = • P(2) = • P(3) = • P(4) = • P(5) = • P(6) =
  • 7.
    What is probabilityof getting even no. and odd no., in two different dice throw • Probability= • P(even no.) = • P(odd no.) =
  • 8.
    Today is Monday,what is probability of having Sunday tomorrow • Probability= • Impossible event • P(having Sunday after monday) = Zero
  • 9.
    Today is Monday,Probability of getting Tuesday tomorrow? • Probability= • Sure event • P(having Tuesday after monday)= 1
  • 10.
    Rules of probability Additionrule (OR rule) • Mutually exclusive P(A • Not Mutually exclusive P( Multiplication rule (AND rule) • Independent events P( • Dependent events
  • 11.
    What is theprobability of getting Ace or King in a card taken out from a stack of playing card • Addition rule (OR rule) Mutually exclusive • P(A • P(A
  • 12.
    Find out probabilityof getting heart or spade in a card taken out from a stack of playing card • Addition rule (OR rule) Mutually exclusive • P(A • P(A
  • 13.
    Find out probabilityof getting queen or black colour in a card taken out from a stack of playing card • Not Mutually exclusive • P( • • P( • P(
  • 14.
    Find out probabilityof getting king or heart in a card taken out from a stack of playing card • Not Mutually exclusive • P( • • P( • P(
  • 15.
    Two coin aretossed, what is probability of getting head on first and tail on second • Multiplication rule (AND rule) • Independent events • P( • P(
  • 16.
    There are 2packets of playing cards. What is probability of getting ace from 1st and king from 2nd card. • Multiplication rule (AND rule) • Independent events • P( • P(
  • 17.
    There is onepacket of playing card, we have taken out 2 cards from it. What is probability of getting ace in 1st and king in 2nd . • Dependent events •
  • 18.
    There is onepacket of playing card, we have taken out 2 cards from it. What is probability of getting two ace in 1st and 2nd both. • Dependent events •
  • 19.
    A table of5 students has 3 seniors and 2 juniors. The teacher is going to pick 2 students at random from this group to present homework solutions. What is the probability that both picked students are juniors? • Dependent events •