This pdf teaches how we can calculate the probability of some of the simple events and what vocabulary is used for calculating the probability of any random event.
1. of Simple Events
2. Probability of Simple Events Life is full of random events! You need to get a "feel" for them to be a smart and successful person. The toss of a coin, throw of a dice and lottery draws are all examples of random events.
3. Probability of Simple Events Students will be able to find the probability of a simple event. Students will be able to understand the distinction between simple events and compound events. Essential Question: (1) How do I find the probability of a simple event? (2) How can I distinguish between a simple and compound event?
4. Probability of Simple Events Vocabulary: Some words have special meaning in Probability Experiment or Trial: an action where the result is uncertain. Outcome: one possible result of an experiment. Simple Event: a specific outcome, just one of the possible outcomes. Sample Space: the list of possible outcomes Random: outcomes that occur at random if each outcome is equally likely to occur. Complementary Events: the events of one outcome happening (E) and that outcomes not happening ( not E) are complimentary or opposite; the sum of the probabilities of complementary events is 1.
5. Probability of Simple Events Probability is the measure of the likelihood that an event will occur Probability does not tell us exactly what will happen, it is just a guide It is the ratio of number of favorable outcomes to the total number of possible outcomes
6. CLASSICAL PROBABILITY number of favorable outcomes P(Event) = number of possible outcomes Two Hypothesis : Equally likely outcomes and Finished outcomes Property The probability is a number between 0 and 1 The probability of the certain event is 1 The probability of the impossible event is 0 in symbols:
7. Classical PROBABILITY The probability of an Event can be as a FRACTION : 1/4 as Unitary PERCENTAGE between 0 and 1 : 0.25 as a PERCENTAGE between 0% to 100% : 25%
8. Probability of Simple Events PROBABILITY LINE 0% 25% 50% 75% 100% 0 ¼ or .25 ½ 0r .5 ¾ or .75 1 Impossible Not Very Equally Likely Somewhat Certain Likely Likely
9. Examples that use Probability 1) Flip a Coin, 2) Roll a Dice, 3) Spinners 4) Pick a card from a deck of 52 Cards 5) Choose at ramdom a ball from a box
10. Probability of Simple Events Example 1: Flip a coin - Tossing a Coin What is the probability of flipping a tail? When a coin is tossed, there are two possible outcomes: head (H) or tail (T) P(event ) = # favorable outcomes # possible outcomes 1 1 P(tail) = = 2 2 The probability is 1 out of 2 or .5 or 50% Also… the probability of flipping a HEAD is ½.
11. TREE Example 1 DIAGRAMM - FLIP A COIN the sample space of events can be represented by a tree diagram: There are two "branches" (Head and Tail) The probability of each branch is written on the branch head tail The outcome is written at the end of the branch Notes: the SUM of the probabilities of the individual events is ONE ( Total Probability )
12. Here is a tree diagram for the toss of a coin:
13. Probability of Simple Events Example 2: Roll a dice - Throwing Dice a) What is the probability of rolling a 4 ? # favorable outcomes P(event) = # possible outcomes 1 P(rolling a 4) = 6 The probability of rolling a 4 is 1 out of 6 When a single dice is thrown, there are six possible outcomes The probability of any one of them is 1/6 !
14. Example 2: Roll a dice. b) What is the probability of rolling an even number? ( or an odd number) P(event) = # favorable outcomes # possible outcomes 3 1 P(even #) = = 6 2 The probability of rolling an even number ( or an odd number ) is 3 out of 6 or .5 or 50%
15. TREE DIAGRAMM ROLL A DICE on the branches you must write the probability Notes: the SUM of the probabilities of the individual events is 1 ( Total Probability)
16. Spinners Example 3:. What is the probability of spinning green? P(event) = # favorable outcomes # possible outcomes 1 1 P(green) = = 4 4 The probability of spinning green is 1 out of 4 or .25 or 25%
17. Pick a card from a Deck of Example 4: 52 Cards A deck of 52 cards includes thirteen ranks of each of the four suits : hearts (♥) , diamonds (♦) spades (♠) and clubs (♣) Each suit has 10 numbered cards and 3 figures : jack, queen and king.
18. Pick a card from a Deck of Example 4 52 Cards What is the probability of picking a heart? # favorable outcomes 13 1 P(heart) = = = # possible outcomes 52 4 The probability of picking a heart is 1 out of 4 or .25 or 25% What is the probability of picking a not heart? # favorable outcomes 39 3 P(nonheart) = = = # possible outcomes 52 4 3 out of 4 or .75 or 75% “heart” and “Not heart” are complementary (opposite) events ! P(notE) = 1- P(E)
19. Choose at random a ball from the box Example 5: A box contains 5 red balls, 3 green balls and 2 yellow balls. What is the probability of : a) choose at random a green ball? # favorable outcomes 3 P(green) = = # possible outcomes = 10 3 out of 10 or .3 or 30% b) choose at random a red ball? # favorable outcomes 5 P(red) = = # possible outcomes 10 or .5 or 50%
20. Example 5: TREE DIAGRAMM Chose at random a ball from the bag Red Green Yellow notes: the SUM of the probabilities of the individual events is ONE (Total Probability)
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