SlideShare a Scribd company logo
1 of 27
Probability
Example 1:
If a card is drawn at random
from an ordinary deck of 52
cards, find the probability that
it is a spade or an even
numbered card.
Example 2:
The probability that a patient entering
UMC Hospital will consult a physician is
0.7, that he/she will consult a dentist is
0.5 and that he/she will consult a
physician or a dentist or both is 0.9. What
is the probability that a patient entering
the hospital will consult both a physician
and a dentist?
Example 3:
Three dice are thrown,
what is the probability that
the 3 dice show even
numbers?
Example 4:
The probability that a certain movie will
get an award for good acting is 0.16, the
probability that it will get an award for
good directing is 0.27, and the probability
that it will get awards for both is 0.11.
What is the probability that the movie
will get only one of the two awards?
Example 5:
In a high school graduating class of 100
students, 54 studied mathematics, 69
studied history, and 35 studied both
mathematics and history. If one of this
students is selected at random, find the
probability that: (a) the student took
mathematics or history but not both. (b) a
student did not take either of these
subjects. (c) the student took history but
not mathematics.
Example 6:
There are two flocks of birds, one below
the other. The lower flock says “If one of
us goes up there, you will double our
number. But if one of you goes down
here, we will be equal in number.” If a
bird is chosen from these flocks, what is
the probability that the bird chosen at
random is from the lower flock?
Example 7:
In a poker hand consisting
of 5 cards, find the
probability of holding 4
hearts and 1 club.
Conditional Probability
The probability of an event B occurring
when it is known that some event A has
occurred is called a conditional
probability. It is denoted by the symbol
P(BІA) which is usually read as “the
probability that B occurs given that A
occurs” or simply “the probability of B
given A.”
Conditional Probability
Definition:
Let A and B be events such that P(A) ≠ 0.
The conditional probability of B, given A,
denoted by P(BІA), is given by
   
 AP
BAP
ABP


Example 1:
A card is drawn from a standard
deck. Suppose we are told that
the card picked is a spade. What
is the probability that the card
drawn is the ace of spades?
Example 2:
A single fair die is rolled once.
What is the probability that the
number obtained is less than 4
knowing that odd number is
rolled.
Example 3:
The probability that a regular scheduled
flight departs on time is P(D) = 0.83; the
probability that it arrives on time is P(A) =
0.82; and the probability that it departs
and arrives on time is P(DA) = 0.78.
Find the probability that a plane (a)
arrives on time given that it departed on
time, and (b) departed on time given that
it has arrived on time.
Example 4:
Consider the population of adults in small town who have
completed the requirements for a college degree. We shall
categorize them according to gender and employment
status:
One of these individuals is to be selected at random.
Consider the following events:
M: a man is chosen
E: the chosen is employed
Employed Unemployed Total
Male 460 40 500
Female 140 260 400
Total 600 300 900
Example 5:
Consider the population of adults in small town who have
completed the requirements for a college degree. We shall
categorize them according to gender and employment
status:
One of these individuals is to be selected at random.
Consider the following events:
F: a female is chosen
U: the chosen is unemployed
Employed Unemployed Total
Male 460 40 500
Female 140 260 400
Total 600 300 900
Independent Events
Two events are considered to
be independent if the
occurrence or non-occurrence
of one has no influence of the
other.
Independent Events
Definition:
Two events are said to be independent if
any one of the following conditions are
satisfied:
Otherwise, A and B are dependent.
     
      0if
0if


APBPBAP
BPAPABP
Multiplicative Rules
If events A and B are dependent,
then:
If events A and B are independent,
then
     ABPAPBAP 
     BPAPBAP 
Example 1:
The probability that Jack will correctly
answer the toughest question in an exam
is 1/4. The probability that Rose will
correctly answer the same question is
4/5. Find the probability that both will
answer the question correctly, assuming
that they do not copy from each other.
Example 2:
On example 1, find the probability
that (a) Jack will get an incorrect
answer and Rose will get the correct
answer. (b) Jack will get the correct
answer and Rose will get an incorrect
answer. (c) both will get an incorrect
answer.
Example 3:
Suppose that we have a fuse box
containing 20 fuses, of which 5 are
defective. If two fuses are selected at
random and removed from the box
in succession without replacing the
first, what is the probability that both
fuses are defective?
Example 4:
On example 3, what is the probability
that (a) the first one is not defective
and the second is defective. (b) the
first one is defective and the second
one is defective. (c) both are not
defective.
Exercise 1:
Three cards are drawn in succession,
without replacement, from an
ordinary deck of playing cards. Find
the probability that the first card is a
red ace, the second card is a 10 or a
jack and the third card is greater than
3 but less than 7.
Exercise 2:
A purse contains 3 1-peso coins and
2 5-peso coins. Another coin purse
contains 2 1-peso coins and 5 5-peso
coins . What is the probability that if
a coin is selected at random, the coin
is 5 peso? (page 135, no. 1)
Exercise 3:
Box 1 contains 6 good and 2 defective
light bulbs. Box 2 contains 3 good and 3
defective light bulbs. A box is selected at
random and a light bulb is chosen from it.
Find (a) the probability that the light bulb
is defective. (b) the probability that the
light bulb came from Box 2 given that it is
defective.
Exercise 4:
A box contains 6 red and 4 black
balls. Two balls from the box are
drawn one at a time without
replacement. What is the probability
that the second ball is red if it is
known that the first is red? (page
139, no. 11)
Exercise 5:
A hospital spokesperson reported that 4
births had taken place at the DLS-UMS during
the last 24 hours. Find the following
probabilities: (a) P(A) = that 2 boys and 2
girls are born. (b) P(B) = no boys are born. (c)
P(C) at least one boy is born. (d) P(AІC) (e)
P(BІC) (f) Are A and C mutually exclusive? Are
A and C independent? (g) Are B and C
mutually exclusive? Are B and C
independent? (page 145, no. 25)

More Related Content

Similar to STAT: Probability (continuation)(2)

5. probability qt 1st tri semester
5. probability qt 1st tri semester 5. probability qt 1st tri semester
5. probability qt 1st tri semester Karan Kukreja
 
THE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptxTHE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptxvictormiralles2
 
Chapter 4 260110 044531
Chapter 4 260110 044531Chapter 4 260110 044531
Chapter 4 260110 044531guest25d353
 
Probability handout
Probability handoutProbability handout
Probability handoutnoonar1
 
Conditional Probability
Conditional ProbabilityConditional Probability
Conditional ProbabilityJoey Valdriz
 
G10 Math Q3- Week 9- Mutually Exclusive Events.ppt
G10 Math Q3- Week 9- Mutually Exclusive Events.pptG10 Math Q3- Week 9- Mutually Exclusive Events.ppt
G10 Math Q3- Week 9- Mutually Exclusive Events.pptCheJavier
 
Question 1 of 402.5 2.5 PointsIf you flip a coin three times,.docx
Question 1 of 402.5 2.5 PointsIf you flip a coin three times,.docxQuestion 1 of 402.5 2.5 PointsIf you flip a coin three times,.docx
Question 1 of 402.5 2.5 PointsIf you flip a coin three times,.docxIRESH3
 
Conditional-Probability-Powerpoint.pptx
Conditional-Probability-Powerpoint.pptxConditional-Probability-Powerpoint.pptx
Conditional-Probability-Powerpoint.pptxVilDom
 
Probability and Conditional.pdf
Probability and Conditional.pdfProbability and Conditional.pdf
Probability and Conditional.pdfPyaePhyoKoKo2
 
MA260.2.1 Statistical Analysis ILog OutOnline Exam 6_06Retur.docx
MA260.2.1 Statistical Analysis ILog OutOnline Exam 6_06Retur.docxMA260.2.1 Statistical Analysis ILog OutOnline Exam 6_06Retur.docx
MA260.2.1 Statistical Analysis ILog OutOnline Exam 6_06Retur.docxBetseyCalderon89
 

Similar to STAT: Probability (continuation)(2) (20)

5. probability qt 1st tri semester
5. probability qt 1st tri semester 5. probability qt 1st tri semester
5. probability qt 1st tri semester
 
THE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptxTHE ADDITION RULES FOR PROBABILITY.pptx
THE ADDITION RULES FOR PROBABILITY.pptx
 
lfstat3e_ppt_03_rev.ppt
lfstat3e_ppt_03_rev.pptlfstat3e_ppt_03_rev.ppt
lfstat3e_ppt_03_rev.ppt
 
Chapter 4 260110 044531
Chapter 4 260110 044531Chapter 4 260110 044531
Chapter 4 260110 044531
 
Probability - I
Probability - IProbability - I
Probability - I
 
Mathematics Homework Help
Mathematics Homework HelpMathematics Homework Help
Mathematics Homework Help
 
Mathematical Statistics Assignment Help
Mathematical Statistics Assignment HelpMathematical Statistics Assignment Help
Mathematical Statistics Assignment Help
 
Probability and Statistics - Week 1
Probability and Statistics - Week 1Probability and Statistics - Week 1
Probability and Statistics - Week 1
 
Mathematical Statistics Exam Help
Mathematical Statistics Exam HelpMathematical Statistics Exam Help
Mathematical Statistics Exam Help
 
6 probability
6 probability6 probability
6 probability
 
Probability handout
Probability handoutProbability handout
Probability handout
 
Conditional Probability
Conditional ProbabilityConditional Probability
Conditional Probability
 
G10 Math Q3- Week 9- Mutually Exclusive Events.ppt
G10 Math Q3- Week 9- Mutually Exclusive Events.pptG10 Math Q3- Week 9- Mutually Exclusive Events.ppt
G10 Math Q3- Week 9- Mutually Exclusive Events.ppt
 
Question 1 of 402.5 2.5 PointsIf you flip a coin three times,.docx
Question 1 of 402.5 2.5 PointsIf you flip a coin three times,.docxQuestion 1 of 402.5 2.5 PointsIf you flip a coin three times,.docx
Question 1 of 402.5 2.5 PointsIf you flip a coin three times,.docx
 
603-probability mj.pptx
603-probability mj.pptx603-probability mj.pptx
603-probability mj.pptx
 
Conditional-Probability-Powerpoint.pptx
Conditional-Probability-Powerpoint.pptxConditional-Probability-Powerpoint.pptx
Conditional-Probability-Powerpoint.pptx
 
Probability and Conditional.pdf
Probability and Conditional.pdfProbability and Conditional.pdf
Probability and Conditional.pdf
 
Probability Assignment Help
Probability Assignment HelpProbability Assignment Help
Probability Assignment Help
 
MA260.2.1 Statistical Analysis ILog OutOnline Exam 6_06Retur.docx
MA260.2.1 Statistical Analysis ILog OutOnline Exam 6_06Retur.docxMA260.2.1 Statistical Analysis ILog OutOnline Exam 6_06Retur.docx
MA260.2.1 Statistical Analysis ILog OutOnline Exam 6_06Retur.docx
 
Chapter 4
Chapter 4Chapter 4
Chapter 4
 

Recently uploaded

Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...M56BOOKSTORE PRODUCT/SERVICE
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docxPoojaSen20
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfakmcokerachita
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 

Recently uploaded (20)

Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docx
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdf
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 

STAT: Probability (continuation)(2)

  • 2. Example 1: If a card is drawn at random from an ordinary deck of 52 cards, find the probability that it is a spade or an even numbered card.
  • 3. Example 2: The probability that a patient entering UMC Hospital will consult a physician is 0.7, that he/she will consult a dentist is 0.5 and that he/she will consult a physician or a dentist or both is 0.9. What is the probability that a patient entering the hospital will consult both a physician and a dentist?
  • 4. Example 3: Three dice are thrown, what is the probability that the 3 dice show even numbers?
  • 5. Example 4: The probability that a certain movie will get an award for good acting is 0.16, the probability that it will get an award for good directing is 0.27, and the probability that it will get awards for both is 0.11. What is the probability that the movie will get only one of the two awards?
  • 6. Example 5: In a high school graduating class of 100 students, 54 studied mathematics, 69 studied history, and 35 studied both mathematics and history. If one of this students is selected at random, find the probability that: (a) the student took mathematics or history but not both. (b) a student did not take either of these subjects. (c) the student took history but not mathematics.
  • 7. Example 6: There are two flocks of birds, one below the other. The lower flock says “If one of us goes up there, you will double our number. But if one of you goes down here, we will be equal in number.” If a bird is chosen from these flocks, what is the probability that the bird chosen at random is from the lower flock?
  • 8. Example 7: In a poker hand consisting of 5 cards, find the probability of holding 4 hearts and 1 club.
  • 9. Conditional Probability The probability of an event B occurring when it is known that some event A has occurred is called a conditional probability. It is denoted by the symbol P(BІA) which is usually read as “the probability that B occurs given that A occurs” or simply “the probability of B given A.”
  • 10. Conditional Probability Definition: Let A and B be events such that P(A) ≠ 0. The conditional probability of B, given A, denoted by P(BІA), is given by      AP BAP ABP  
  • 11. Example 1: A card is drawn from a standard deck. Suppose we are told that the card picked is a spade. What is the probability that the card drawn is the ace of spades?
  • 12. Example 2: A single fair die is rolled once. What is the probability that the number obtained is less than 4 knowing that odd number is rolled.
  • 13. Example 3: The probability that a regular scheduled flight departs on time is P(D) = 0.83; the probability that it arrives on time is P(A) = 0.82; and the probability that it departs and arrives on time is P(DA) = 0.78. Find the probability that a plane (a) arrives on time given that it departed on time, and (b) departed on time given that it has arrived on time.
  • 14. Example 4: Consider the population of adults in small town who have completed the requirements for a college degree. We shall categorize them according to gender and employment status: One of these individuals is to be selected at random. Consider the following events: M: a man is chosen E: the chosen is employed Employed Unemployed Total Male 460 40 500 Female 140 260 400 Total 600 300 900
  • 15. Example 5: Consider the population of adults in small town who have completed the requirements for a college degree. We shall categorize them according to gender and employment status: One of these individuals is to be selected at random. Consider the following events: F: a female is chosen U: the chosen is unemployed Employed Unemployed Total Male 460 40 500 Female 140 260 400 Total 600 300 900
  • 16. Independent Events Two events are considered to be independent if the occurrence or non-occurrence of one has no influence of the other.
  • 17. Independent Events Definition: Two events are said to be independent if any one of the following conditions are satisfied: Otherwise, A and B are dependent.             0if 0if   APBPBAP BPAPABP
  • 18. Multiplicative Rules If events A and B are dependent, then: If events A and B are independent, then      ABPAPBAP       BPAPBAP 
  • 19. Example 1: The probability that Jack will correctly answer the toughest question in an exam is 1/4. The probability that Rose will correctly answer the same question is 4/5. Find the probability that both will answer the question correctly, assuming that they do not copy from each other.
  • 20. Example 2: On example 1, find the probability that (a) Jack will get an incorrect answer and Rose will get the correct answer. (b) Jack will get the correct answer and Rose will get an incorrect answer. (c) both will get an incorrect answer.
  • 21. Example 3: Suppose that we have a fuse box containing 20 fuses, of which 5 are defective. If two fuses are selected at random and removed from the box in succession without replacing the first, what is the probability that both fuses are defective?
  • 22. Example 4: On example 3, what is the probability that (a) the first one is not defective and the second is defective. (b) the first one is defective and the second one is defective. (c) both are not defective.
  • 23. Exercise 1: Three cards are drawn in succession, without replacement, from an ordinary deck of playing cards. Find the probability that the first card is a red ace, the second card is a 10 or a jack and the third card is greater than 3 but less than 7.
  • 24. Exercise 2: A purse contains 3 1-peso coins and 2 5-peso coins. Another coin purse contains 2 1-peso coins and 5 5-peso coins . What is the probability that if a coin is selected at random, the coin is 5 peso? (page 135, no. 1)
  • 25. Exercise 3: Box 1 contains 6 good and 2 defective light bulbs. Box 2 contains 3 good and 3 defective light bulbs. A box is selected at random and a light bulb is chosen from it. Find (a) the probability that the light bulb is defective. (b) the probability that the light bulb came from Box 2 given that it is defective.
  • 26. Exercise 4: A box contains 6 red and 4 black balls. Two balls from the box are drawn one at a time without replacement. What is the probability that the second ball is red if it is known that the first is red? (page 139, no. 11)
  • 27. Exercise 5: A hospital spokesperson reported that 4 births had taken place at the DLS-UMS during the last 24 hours. Find the following probabilities: (a) P(A) = that 2 boys and 2 girls are born. (b) P(B) = no boys are born. (c) P(C) at least one boy is born. (d) P(AІC) (e) P(BІC) (f) Are A and C mutually exclusive? Are A and C independent? (g) Are B and C mutually exclusive? Are B and C independent? (page 145, no. 25)