This document defines probability and provides examples of calculating probability using fractions, decimals, and percentages. It explains that probability is a measurement between 0 and 1 that indicates the likelihood of an event occurring. Examples are given showing how to convert between fractions, decimals, and percentages in probability calculations. The document also demonstrates calculating probability using examples like dice rolls, spinners, and drawing from jars without replacement to find the probability of different outcomes.
Conferenza tenuta presso la ex SSAB da Domenico (Ingo) Bogliolo (AIDA) l' 8-04-2011 nell'ambito del 6. ciclo "Biblioteche libri documenti: dall'informazione alla conoscenza", a.a. 2010-2011, Prof.ssa M.T. Biagetti
Conferenza tenuta presso la ex SSAB da Domenico (Ingo) Bogliolo (AIDA) l' 8-04-2011 nell'ambito del 6. ciclo "Biblioteche libri documenti: dall'informazione alla conoscenza", a.a. 2010-2011, Prof.ssa M.T. Biagetti
Norma UNI per la figura professionale del bibliotecario / Flavia Canceddalibriedocumenti
Conferenza tenuta presso la ex SSAB da Flavia Cancedda il 8-4-2014 nell'ambito dell'VIII Ciclo "Biblioteche, libri, documenti : dall'informazione alla conoscenza" Prof.ssa M.T. Biagetti
Ontologie per i linked open data / Stefano De Luca, Paola De Caro, Claudia C...libriedocumenti
Conferenza tenuta presso la ex SSAB da Stefano De Luca e Paola De Caro (Evodevo) il 12-03-2015 nell'ambito del 9. ciclo "Biblioteche libri documenti: dall'informazione alla conoscenza", a.a. 2014-2015, Prof.ssa M.T. Biagetti
Basic probability Concepts and its application By Khubaib Razakhubiab raza
introduction of probability probability defination and its properties after that difference between probability and permutation in the last Discuss about imporatnace of Probabilty in Computer Science
Probability implies 'likelihood' or 'chance'. When an event is certain to happen then the probability of occurrence of that event is 1 and when it is certain that the event cannot happen then the probability of that event is 0.
A distribution where only two outcomes are possible, such as success or failure, gain or loss, win or lose and where the probability of success and failure is the same for all the trials is called a Binomial Distribution.
Norma UNI per la figura professionale del bibliotecario / Flavia Canceddalibriedocumenti
Conferenza tenuta presso la ex SSAB da Flavia Cancedda il 8-4-2014 nell'ambito dell'VIII Ciclo "Biblioteche, libri, documenti : dall'informazione alla conoscenza" Prof.ssa M.T. Biagetti
Ontologie per i linked open data / Stefano De Luca, Paola De Caro, Claudia C...libriedocumenti
Conferenza tenuta presso la ex SSAB da Stefano De Luca e Paola De Caro (Evodevo) il 12-03-2015 nell'ambito del 9. ciclo "Biblioteche libri documenti: dall'informazione alla conoscenza", a.a. 2014-2015, Prof.ssa M.T. Biagetti
Basic probability Concepts and its application By Khubaib Razakhubiab raza
introduction of probability probability defination and its properties after that difference between probability and permutation in the last Discuss about imporatnace of Probabilty in Computer Science
Probability implies 'likelihood' or 'chance'. When an event is certain to happen then the probability of occurrence of that event is 1 and when it is certain that the event cannot happen then the probability of that event is 0.
A distribution where only two outcomes are possible, such as success or failure, gain or loss, win or lose and where the probability of success and failure is the same for all the trials is called a Binomial Distribution.
2. What is a probability?
Three major points
1.An experiment (Situation)
2.An outcome (Result)
3.An event (Single Result)
Probability=
measurement of a single event
occurring
3. • 0=NO chance of the probability
occurring
• In Between = represented with
fractions, decimals, & percent
• 1=the probability WILL occur
0-1 Probability
4. • Percent: 0-100% probability
• Decimal: 0.0-1.0 probability
• Fraction: 0/1 - 1/1 probability
• Each can be interchangeable
Using Fractions,
Decimals, & Percent
5. Example: 20%
• Fraction 20/100 can be SIMPLIFIED to 1/5
• Decimal 20% DIVDED by 100% = .2
Starting At A Percent
6. Example: ¾
• Percent ¾ is EQUAL to 75/100 or 75%
• Decimal 3 DIVIDED by 4 equals .75
Starting At A Fraction
7. Example: .5
• Percent .5 MULTIPLIED by 100 = 50%
• Fraction 50/100 can be SIMPLIFIED to
½
Starting At A Decimal
8. # of ways event can occur
P (A) = total # of possible outcomes
Where A = The Event
Probability of an Event
9. • IF P (A) > P (B)
• THEN A is more likely to occur
• IF P(A) = P(B)
• THEN P (AB) are equally likely to occur
Probability A vs. B
10. Dice Example
• Probability (1/6)
- for each number 1-6
• 1 = each number on a die
(1,2,3,4,5,6)
• 6 = total number of sides
11. Continued…
We Can Also Say…
•Probability of EVEN numbers:
•P (3/6) OR (1/3)
•Probability of ODD numbers:
•P (3/6) OR (1/3)
Leah Love “Dice Isn’t Just A Game; It’s aWay of Life” Aug 18,
2005 via Flickr,Creative Commons Attribution
12. •P (Yellow) = ¼
•P (Blue) = ¼
•P (Green) = ¼
•P (Red) = ¼
A Spinner Example
13. •Used when drawing from a bag
•Take object out without putting back
•Carton has 12 eggs
• I take one
• 11 are left
ProbabilityWithout
Replacement
14. • I have 30 pieces
•7 are Red
•23 are Blue
•I’m going to pass them out
Jar of Candy
Ella Novak “Jar of Candy” Jan 5, 2003 via Flickr,Creative
Commons Attribution
16. •P (Red, Red) : 7/30 MULTIPLY by 6/29
= 42/870
•P (Red, Blue) : 7/30 MULTIPLY by 23/29
= 161/870
•P (Blue, Blue) : 23/30 MULTIPLY by 22/29
= 506/870
•P (Blue, Red) : 23/30 MULTIPLY by 7/29
= 161/870
The Math
17. •Q: Which is MOST likely to occur?
•A: P (Blue, Blue)
•Q: Which is LEAST likely to occur?
•A: P (Red, Red)
•Which are EQUALLY likely to occur?
•A: P (Red, Blue) & P (Blue, Red)
Q & A