SlideShare a Scribd company logo
1 of 7
+1 (315) 557-6473
https://www.statisticshomeworkhelper.com/
info@statisticshomeworkhelper.com
Example 1: A coin is thrown 3 times .what is the probability that atleast one
head is obtained?
Sol: Sample space = [HHH, HHT, HTH, THH, TTH, THT, HTT, TTT]
Total number of ways = 2 × 2 × 2 = 8. Fav. Cases = 7
P (A) = 7/8
OR
P (of getting at least one head) = 1 – P (no head)⇒ 1 – (1/8) = 7/8
Example 2: Find the probability of getting a numbered card when a card is
drawn from the pack of 52 cards.
Sol: Total Cards = 52. Numbered Cards = (2, 3, 4, 5, 6, 7, 8, 9, 10) 9 from each
suit 4 × 9 = 36
P (E) = 36/52 = 9/13
Example 3: There are 5 green 7 red balls. Two balls are selected one by one
without replacement. Find the probability that first is green and second is red.
Sol: P (G) × P (R) = (5/12) x (7/11) = 35/132
Example 4: What is the probability of getting a sum of 7 when two dice are thrown?
Sol: Probability math - Total number of ways = 6 × 6 = 36 ways. Favorable cases =
(1, 6)
(6, 1) (2, 5) (5, 2) (3, 4) (4, 3) --- 6 ways. P (A) = 6/36 = 1/6
Example 5: 1 card is drawn at random from the pack of 52 cards.
(i) Find the Probability that it is an honor card.
(ii) It is a face card.
Sol: (i) honor cards = (A, J, Q, K) 4 cards from each suits = 4 × 4 = 16
P (honor card) = 16/52 = 4/13
(ii) face cards = (J,Q,K) 3 cards from each suit = 3 × 4 = 12 Cards.
P (face Card) = 12/52 = 3/13
Example 6: Two cards are drawn from the pack of 52 cards. Find the probability
that both are diamonds or both are kings.
Sol: Total no. of ways = 52C2
Case I: Both are diamonds = 13C2
Case II: Both are kings = 4C2
P (both are diamonds or both are kings) = (13C2 + 4C2 ) / 52C2
Example 7: Three dice are rolled together. What is the probability as getting at
least one '4'?
Sol: Total number of ways = 6 × 6 × 6 = 216. Probability of getting number ‘4’ at
least one time
= 1 – (Probability of getting no number 4) = 1 – (5/6) x (5/6) x (5/6) = 91/216
Example 8: A problem is given to three persons P, Q, R whose respective
chances of solving it are 2/7, 4/7, 4/9 respectively. What is the probability that the
problem is solved?
Sol: Probability of the problem getting solved = 1 – (Probability of none of them
solving the problem)
Probability of problem getting solved = 1 – (5/7) x (3/7) x (5/9) = (122/147)
Example 9: Find the probability of getting two heads when five coins are tossed.
Sol: Number of ways of getting two heads = 5C2 = 10. Total Number of ways = 25 =
32
P (two heads) = 10/32 = 5/16
Example 10: What is the probability of getting a sum of 22 or more when four
dice are thrown?
Sol: Total number of ways = 64 = 1296. Number of ways of getting a sum 22
are 6,6,6,4 = 4! / 3! = 4
6,6,5,5 = 4! / 2!2! = 6. Number of ways of getting a sum 23 is 6,6,6,5 = 4! / 3! =
4.
Number of ways of getting a sum 24 is 6,6,6,6 = 1.
Fav. Number of cases = 4 + 6 + 4 + 1 = 15 ways. P (getting a sum of 22 or
more) = 15/1296 = 5/432
Example 11: Two dice are thrown together. What is the probability that the
number obtained on one of the dice is multiple of number obtained on the other
dice?
Sol:Total number of cases = 62 = 36
Since the number on a die should be multiple of the other, the possibilities are
(1, 1) (2, 2) (3, 3) ------ (6, 6) --- 6 ways
(2, 1) (1, 2) (1, 4) (4, 1) (1, 3) (3, 1) (1, 5) (5, 1) (6, 1) (1, 6) --- 10 ways
(2, 4) (4, 2) (2, 6) (6, 2) (3, 6) (6, 3) -- 6 ways
Favorable cases are = 6 + 10 + 6 = 22. So, P (A) = 22/36 = 11/18
Sol: Total number of cases = 52C3
One card each should be selected from a different suit. The three suits can be
chosen in 4C3 was
The cards can be selected in a total of (4C3) x (13C1) x (13C1) x (13C1)
Probability = 4C3 x (13C1)3 / 52C3
= 4 x (13)3 / 52C3
Example 13: Find the probability that a leap year has 52 Sundays.
Sol: A leap year can have 52 Sundays or 53 Sundays. In a leap year, there are 366
days out of which there are 52 complete weeks & remaining 2 days. Now, these two
days can be (Sat, Sun) (Sun, Mon) (Mon, Tue) (Tue, Wed) (Wed, Thur) (Thur,
Friday) (Friday, Sat).
So there are total 7 cases out of which (Sat, Sun) (Sun, Mon) are two
favorable cases. So, P (53 Sundays) = 2 / 7
Now, P(52 Sundays) + P(53 Sundays) = 1
So, P (52 Sundays) = 1 - P(53 Sundays) = 1 – (2/7) = (5/7)
Example 14: Fifteen people sit around a circular table. What are odds against two
particular people sitting together?
Sol: 15 persons can be seated in 14! Ways. No. of ways in which two particular
people sit together is 13! × 2!
The probability of two particular persons sitting together 13!2! / 14! = 1/7
Odds against the event = 6 : 1
Example 15: Three bags contain 3 red, 7 black; 8 red, 2 black, and 4 red & 6 black
balls respectively. 1 of the bags is selected at random and a ball is drawn from it. If
the ball drawn is red, find the probability that it is drawn from the third bag.
Sol: Let E1, E2, E3 and A are the events defined as follows.
E1 = First bag is chosen
E2 = Second bag is chosen
E3 = Third bag is chosen
A = Ball drawn is red
Since there are three bags and one of the bags is chosen at random, so P (E1) =
P(E2) = P(E3) = 1 / 3
If E1 has already occurred, then first bag has been chosen which contains 3 red
and 7 black balls. The probability of drawing 1 red ball from it is 3/10. So, P (A/E1) =
3/10, similarly P(A/E2) = 8/10, and P(A/E3) = 4/10. We are required to find P(E3/A)
i.e. given that the ball drawn is red, what is the probability that the ball is drawn from
the third bag by Baye’s rule

More Related Content

Similar to Probability Homework Help

Important questions for class 10 maths chapter 15 probability with solutions
Important questions for class 10 maths chapter 15 probability with solutionsImportant questions for class 10 maths chapter 15 probability with solutions
Important questions for class 10 maths chapter 15 probability with solutionsExpertClass
 
Important questions for class 10 maths chapter 15 probability with solions
Important questions for class 10 maths chapter 15 probability with solionsImportant questions for class 10 maths chapter 15 probability with solions
Important questions for class 10 maths chapter 15 probability with solionsExpertClass
 
Important questions for class 10 maths chapter 15 probability with solutions
Important questions for class 10 maths chapter 15 probability with solutionsImportant questions for class 10 maths chapter 15 probability with solutions
Important questions for class 10 maths chapter 15 probability with solutionsExpertClass
 
Probability revision card
Probability revision cardProbability revision card
Probability revision cardPuna Ripiye
 
13.4 Independent Events
13.4 Independent Events13.4 Independent Events
13.4 Independent Eventsvmonacelli
 
Probability_Mutually exclusive event.ppt
Probability_Mutually exclusive event.pptProbability_Mutually exclusive event.ppt
Probability_Mutually exclusive event.pptWaiTengChoo
 
Day 1 - Law of Large Numbers and Probability (1).ppt
Day 1 - Law of Large Numbers and Probability (1).pptDay 1 - Law of Large Numbers and Probability (1).ppt
Day 1 - Law of Large Numbers and Probability (1).pptHayaaKhan8
 
Probability trinity college
Probability trinity collegeProbability trinity college
Probability trinity collegeStacy Carter
 
Gmat quant topic 7 p and c sol
Gmat quant topic 7   p and c solGmat quant topic 7   p and c sol
Gmat quant topic 7 p and c solRushabh Vora
 
Probability of card
Probability of  cardProbability of  card
Probability of cardUnsa Shakir
 
Introduction of Probability
Introduction of ProbabilityIntroduction of Probability
Introduction of Probabilityrey castro
 
EXAMPLES ON PROBABILITY PART 1.pptx
EXAMPLES ON PROBABILITY PART 1.pptxEXAMPLES ON PROBABILITY PART 1.pptx
EXAMPLES ON PROBABILITY PART 1.pptxNeha Patil
 

Similar to Probability Homework Help (20)

Important questions for class 10 maths chapter 15 probability with solutions
Important questions for class 10 maths chapter 15 probability with solutionsImportant questions for class 10 maths chapter 15 probability with solutions
Important questions for class 10 maths chapter 15 probability with solutions
 
Important questions for class 10 maths chapter 15 probability with solions
Important questions for class 10 maths chapter 15 probability with solionsImportant questions for class 10 maths chapter 15 probability with solions
Important questions for class 10 maths chapter 15 probability with solions
 
Important questions for class 10 maths chapter 15 probability with solutions
Important questions for class 10 maths chapter 15 probability with solutionsImportant questions for class 10 maths chapter 15 probability with solutions
Important questions for class 10 maths chapter 15 probability with solutions
 
Advanced s
Advanced sAdvanced s
Advanced s
 
Probability revision card
Probability revision cardProbability revision card
Probability revision card
 
Probability
ProbabilityProbability
Probability
 
13.4 Independent Events
13.4 Independent Events13.4 Independent Events
13.4 Independent Events
 
tree diagrams
 tree diagrams tree diagrams
tree diagrams
 
Probability_Mutually exclusive event.ppt
Probability_Mutually exclusive event.pptProbability_Mutually exclusive event.ppt
Probability_Mutually exclusive event.ppt
 
Probability
ProbabilityProbability
Probability
 
Day 1 - Law of Large Numbers and Probability (1).ppt
Day 1 - Law of Large Numbers and Probability (1).pptDay 1 - Law of Large Numbers and Probability (1).ppt
Day 1 - Law of Large Numbers and Probability (1).ppt
 
Prob2definitions
Prob2definitionsProb2definitions
Prob2definitions
 
Probability trinity college
Probability trinity collegeProbability trinity college
Probability trinity college
 
Mat cat que
Mat cat queMat cat que
Mat cat que
 
Assignmen ts --x
Assignmen ts  --xAssignmen ts  --x
Assignmen ts --x
 
Gmat quant topic 7 p and c sol
Gmat quant topic 7   p and c solGmat quant topic 7   p and c sol
Gmat quant topic 7 p and c sol
 
Probability of card
Probability of  cardProbability of  card
Probability of card
 
Introduction of Probability
Introduction of ProbabilityIntroduction of Probability
Introduction of Probability
 
31. probability
31. probability31. probability
31. probability
 
EXAMPLES ON PROBABILITY PART 1.pptx
EXAMPLES ON PROBABILITY PART 1.pptxEXAMPLES ON PROBABILITY PART 1.pptx
EXAMPLES ON PROBABILITY PART 1.pptx
 

More from Statistics Homework Helper

📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀
📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀
📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀Statistics Homework Helper
 
Top Rated Service Provided By Statistics Homework Help
Top Rated Service Provided By Statistics Homework HelpTop Rated Service Provided By Statistics Homework Help
Top Rated Service Provided By Statistics Homework HelpStatistics Homework Helper
 
Statistics Multiple Choice Questions and Answers
Statistics Multiple Choice Questions and AnswersStatistics Multiple Choice Questions and Answers
Statistics Multiple Choice Questions and AnswersStatistics Homework Helper
 

More from Statistics Homework Helper (20)

📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀
📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀
📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀
 
Probability Homework Help
Probability Homework HelpProbability Homework Help
Probability Homework Help
 
Multiple Linear Regression Homework Help
Multiple Linear Regression Homework HelpMultiple Linear Regression Homework Help
Multiple Linear Regression Homework Help
 
Statistics Homework Help
Statistics Homework HelpStatistics Homework Help
Statistics Homework Help
 
SAS Homework Help
SAS Homework HelpSAS Homework Help
SAS Homework Help
 
R Programming Homework Help
R Programming Homework HelpR Programming Homework Help
R Programming Homework Help
 
Statistics Homework Helper
Statistics Homework HelperStatistics Homework Helper
Statistics Homework Helper
 
Statistics Homework Help
Statistics Homework HelpStatistics Homework Help
Statistics Homework Help
 
Do My Statistics Homework
Do My Statistics HomeworkDo My Statistics Homework
Do My Statistics Homework
 
Write My Statistics Homework
Write My Statistics HomeworkWrite My Statistics Homework
Write My Statistics Homework
 
Quantitative Research Homework Help
Quantitative Research Homework HelpQuantitative Research Homework Help
Quantitative Research Homework Help
 
Top Rated Service Provided By Statistics Homework Help
Top Rated Service Provided By Statistics Homework HelpTop Rated Service Provided By Statistics Homework Help
Top Rated Service Provided By Statistics Homework Help
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statistics
 
Statistics Homework Help
Statistics Homework HelpStatistics Homework Help
Statistics Homework Help
 
Multivariate and Monova Assignment Help
Multivariate and Monova Assignment HelpMultivariate and Monova Assignment Help
Multivariate and Monova Assignment Help
 
Statistics Multiple Choice Questions and Answers
Statistics Multiple Choice Questions and AnswersStatistics Multiple Choice Questions and Answers
Statistics Multiple Choice Questions and Answers
 
Statistics Homework Help
Statistics Homework HelpStatistics Homework Help
Statistics Homework Help
 
Advanced Statistics Homework Help
Advanced Statistics Homework HelpAdvanced Statistics Homework Help
Advanced Statistics Homework Help
 
Quantitative Methods Assignment Help
Quantitative Methods Assignment HelpQuantitative Methods Assignment Help
Quantitative Methods Assignment Help
 
Multiple Linear Regression Homework Help
Multiple Linear Regression Homework HelpMultiple Linear Regression Homework Help
Multiple Linear Regression Homework Help
 

Recently uploaded

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
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
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
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 
_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
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
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
 
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
 
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
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
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
 
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
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
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
 

Recently uploaded (20)

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
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
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
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
_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
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
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
 
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
 
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
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
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 ...
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.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
 

Probability Homework Help

  • 2. Example 1: A coin is thrown 3 times .what is the probability that atleast one head is obtained? Sol: Sample space = [HHH, HHT, HTH, THH, TTH, THT, HTT, TTT] Total number of ways = 2 × 2 × 2 = 8. Fav. Cases = 7 P (A) = 7/8 OR P (of getting at least one head) = 1 – P (no head)⇒ 1 – (1/8) = 7/8 Example 2: Find the probability of getting a numbered card when a card is drawn from the pack of 52 cards. Sol: Total Cards = 52. Numbered Cards = (2, 3, 4, 5, 6, 7, 8, 9, 10) 9 from each suit 4 × 9 = 36 P (E) = 36/52 = 9/13 Example 3: There are 5 green 7 red balls. Two balls are selected one by one without replacement. Find the probability that first is green and second is red. Sol: P (G) × P (R) = (5/12) x (7/11) = 35/132
  • 3. Example 4: What is the probability of getting a sum of 7 when two dice are thrown? Sol: Probability math - Total number of ways = 6 × 6 = 36 ways. Favorable cases = (1, 6) (6, 1) (2, 5) (5, 2) (3, 4) (4, 3) --- 6 ways. P (A) = 6/36 = 1/6 Example 5: 1 card is drawn at random from the pack of 52 cards. (i) Find the Probability that it is an honor card. (ii) It is a face card. Sol: (i) honor cards = (A, J, Q, K) 4 cards from each suits = 4 × 4 = 16 P (honor card) = 16/52 = 4/13 (ii) face cards = (J,Q,K) 3 cards from each suit = 3 × 4 = 12 Cards. P (face Card) = 12/52 = 3/13 Example 6: Two cards are drawn from the pack of 52 cards. Find the probability that both are diamonds or both are kings. Sol: Total no. of ways = 52C2 Case I: Both are diamonds = 13C2 Case II: Both are kings = 4C2 P (both are diamonds or both are kings) = (13C2 + 4C2 ) / 52C2
  • 4. Example 7: Three dice are rolled together. What is the probability as getting at least one '4'? Sol: Total number of ways = 6 × 6 × 6 = 216. Probability of getting number ‘4’ at least one time = 1 – (Probability of getting no number 4) = 1 – (5/6) x (5/6) x (5/6) = 91/216 Example 8: A problem is given to three persons P, Q, R whose respective chances of solving it are 2/7, 4/7, 4/9 respectively. What is the probability that the problem is solved? Sol: Probability of the problem getting solved = 1 – (Probability of none of them solving the problem) Probability of problem getting solved = 1 – (5/7) x (3/7) x (5/9) = (122/147) Example 9: Find the probability of getting two heads when five coins are tossed. Sol: Number of ways of getting two heads = 5C2 = 10. Total Number of ways = 25 = 32 P (two heads) = 10/32 = 5/16
  • 5. Example 10: What is the probability of getting a sum of 22 or more when four dice are thrown? Sol: Total number of ways = 64 = 1296. Number of ways of getting a sum 22 are 6,6,6,4 = 4! / 3! = 4 6,6,5,5 = 4! / 2!2! = 6. Number of ways of getting a sum 23 is 6,6,6,5 = 4! / 3! = 4. Number of ways of getting a sum 24 is 6,6,6,6 = 1. Fav. Number of cases = 4 + 6 + 4 + 1 = 15 ways. P (getting a sum of 22 or more) = 15/1296 = 5/432 Example 11: Two dice are thrown together. What is the probability that the number obtained on one of the dice is multiple of number obtained on the other dice? Sol:Total number of cases = 62 = 36 Since the number on a die should be multiple of the other, the possibilities are (1, 1) (2, 2) (3, 3) ------ (6, 6) --- 6 ways (2, 1) (1, 2) (1, 4) (4, 1) (1, 3) (3, 1) (1, 5) (5, 1) (6, 1) (1, 6) --- 10 ways (2, 4) (4, 2) (2, 6) (6, 2) (3, 6) (6, 3) -- 6 ways Favorable cases are = 6 + 10 + 6 = 22. So, P (A) = 22/36 = 11/18
  • 6. Sol: Total number of cases = 52C3 One card each should be selected from a different suit. The three suits can be chosen in 4C3 was The cards can be selected in a total of (4C3) x (13C1) x (13C1) x (13C1) Probability = 4C3 x (13C1)3 / 52C3 = 4 x (13)3 / 52C3 Example 13: Find the probability that a leap year has 52 Sundays. Sol: A leap year can have 52 Sundays or 53 Sundays. In a leap year, there are 366 days out of which there are 52 complete weeks & remaining 2 days. Now, these two days can be (Sat, Sun) (Sun, Mon) (Mon, Tue) (Tue, Wed) (Wed, Thur) (Thur, Friday) (Friday, Sat). So there are total 7 cases out of which (Sat, Sun) (Sun, Mon) are two favorable cases. So, P (53 Sundays) = 2 / 7 Now, P(52 Sundays) + P(53 Sundays) = 1 So, P (52 Sundays) = 1 - P(53 Sundays) = 1 – (2/7) = (5/7) Example 14: Fifteen people sit around a circular table. What are odds against two particular people sitting together? Sol: 15 persons can be seated in 14! Ways. No. of ways in which two particular people sit together is 13! × 2!
  • 7. The probability of two particular persons sitting together 13!2! / 14! = 1/7 Odds against the event = 6 : 1 Example 15: Three bags contain 3 red, 7 black; 8 red, 2 black, and 4 red & 6 black balls respectively. 1 of the bags is selected at random and a ball is drawn from it. If the ball drawn is red, find the probability that it is drawn from the third bag. Sol: Let E1, E2, E3 and A are the events defined as follows. E1 = First bag is chosen E2 = Second bag is chosen E3 = Third bag is chosen A = Ball drawn is red Since there are three bags and one of the bags is chosen at random, so P (E1) = P(E2) = P(E3) = 1 / 3 If E1 has already occurred, then first bag has been chosen which contains 3 red and 7 black balls. The probability of drawing 1 red ball from it is 3/10. So, P (A/E1) = 3/10, similarly P(A/E2) = 8/10, and P(A/E3) = 4/10. We are required to find P(E3/A) i.e. given that the ball drawn is red, what is the probability that the ball is drawn from the third bag by Baye’s rule