Mada za sehemu hiiProbabilityMada 2
- Probability of an Event
- Combined Events
The Probability of an Event Through Experiments
Definition: A probability set is the set of all outcomes/results from the experiment being performed. For example, when tossing once a fair coin, the expected outcomes are either head (H) or tail (T). Thus the probability set is:
S={H,T}Also, if a fair die is tossed once, the expected outcome is one number among 1, 2, 3, 4, 5, 6. Thus:
S={1,2,3,4,5,6}An event is a specified outcome from the probability set. For example, getting a head (H) when tossing a coin is an event and a subset of the probability set. Thus:
S={H,T}andE={H}An event may or may not occur. For instance, if the event is getting a head but a tail occurs, then the event did not occur. It is denoted by E′ (the complement of E). Thus:
E′={T}NB: A probability set is also called a sample space.
A die is tossed once and the results are recorded. Find:
- The probability set (sample space).
- The event that an even number occurs.
- The event that an even number does not occur.
Solution: Sample space:
S={1,2,3,4,5,6}The event that an even number occurs:
E={2,4,6}The event that an even number does not occur:
E′={1,3,5}Give the probability set for selecting even numbers less than 20. Solution:
S={2,4,6,8,10,12,14,16,18}Give the probability set for not selecting an even number from a set of counting numbers less than 9. Solution: Sample space:
S={1,2,3,4,5,6,7,8}Event of selecting even number:
E={2,4,6,8}Event of not selecting an even number:
E′={1,3,5,7}Example: Tossing a fair coin once gives the outcomes:
S={H,T}Example: Tossing a fair die once gives:
S={1,2,3,4,5,6}Definition: The probability of an event is the ratio between the number of times the event has occurred to the total number of experiments performed.
P(E)=Total number of times the experiment has been doneNumber of times E has occurred OrP(E)=n(S)n(E)where P(E) is the probability of an event E, n(E) is the number of elements in E which is actually the number of times E has occurred and n(S) is the number of elements in the sample space which is the total number of possible outcomes of the experiment.
NB:n(S)n(E)is the ratio called the observed relative frequency of the event which is the probability of an event E to occur.The probability found by experimenting is referred to as experimental probability.
A drawing pin was tossed 1000 times. The number of tosses where the pin fell flat was 563. Find the probability that it falls flat. Solution: The probability P(E) is given by:
P(E)=Total number of trialsNumber of favorable outcomesThus,
P(E)=1000563=0.5635% of torch bulbs manufactured by a certain factory were defective. What is the probability that when a bulb is tested, it will be defective? Solution: Given that 5% of bulbs are defective:
P(E)=5%=1005=0.05A piece of chalk is picked from a box containing 5 identical pieces, 2 of which are red and 3 are white. Find the probability that the piece picked is red. Solution: Number of red pieces = 2 Total pieces = 5 Therefore,
P(Red)=52=0.4Find the probability that a king appears when drawing a single card from an ordinary deck of 52 cards. Solution: There are 4 kings in a deck of 52 cards. Thus,
P(King)=524=131≈0.0769What is the probability of not getting an even number when a fair die is tossed? Solution: Sample space:
S={1,2,3,4,5,6}Even numbers are:
{2,4,6}Thus, the probability of getting an even number:
P(Even)=63=21Hence, the probability of not getting an even number is:
P(Not Even)=1−P(Even)=1−21=21=0.5Mwalimu
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