Wednesday, August 24, 2011

NOTE

HELLO EVERYONE
CHANGE CHART IS THE NEW TOPIC ADDED AND HAS BEEN INCLUDED IN THE SYLLABUS SINCE LAST YEAR. IF YOU WANT ANY ADDITIONAL RESOURCES YOU CAN REQUEST US VIA EMAIL OR COMMENT ON ANY POST. NOTES FOR ACCOUNTS WILL SOON BE AVAILABLE.

Tuesday, August 16, 2011

NOTE

We have not got much resources for the topic PROBABILITY so if you have some resources you can share through your comment or email us with your name on information.osk@gmail.com

PROBABILITY FOR STATISTICS GCE O LEVELS/IGCSE

INTRODUCTION
The word probability has two basic meanings: (i) a quantitative measure of uncertainty and (ii) a measure of belief in a particular statement or problem. Probability and statistics are fundamentally interrelated
EXPERIMENT
A Process which gives some results.
RANDOM EXPERIMENT
An experiment which produced different results is called random experiment. The result obtained from an experiment or is called an outcome. Drawing of a card from a well shuffled deck of 52 playing cards are example of random experiment. A random experiment has three properties.
  1. The experiment can be repeated any number of times.
  2. The experiment always has two or more possible outcomes.
  3. The out comes of each repetition is unpredictable.
SAMPLE SPACE
The set of all possible outcomes from a random experiment is called sample space.
EVENT
It is an individual outcome or any number of outcomes of a random experiment.
Simple event: An event that contains exactly one sample point is called simple event. Example in tossing coin head is an event and tail is also an event.
MUTUALLY EXCLUSIVE EVENTS
In some situations two events cannot occur at the same time. These events are called mutually exclusive events. In this case:
P(A ∩ B) = 0
P(A or B) = P(A) + P(B)
EXHAUSTIVE EVENT
Events are said to be exhaustive when the union of mutually exclusive events is the entire sample S.
INDEPENDENT EVENTS
When the probabilities of certain events occurring are quite unconnected to one another, these events are said to be independent events.
P(A ∩ B) = P(A) x P(B)
P(A and B) = P(A) x P(B)





Author: Saif Kheraj