SlideShare a Scribd company logo
V63.0233, Theory of Probability         Name:
Worksheet for Sections 2.1–2.3 : Sample Spaces and the Axioms of Probability          July 1, 2009


1.    A small taxicab company owns four cabs. Let X be the sample space of pairs (x, y), repre-
senting the outcome that x cabs are in operative condition and y of those cabs are out on a call.
Let K be the event that at least two cabs are out on a call, L the event that exactly one of the
operative cabs is not out on a call, and M the event that only one of the cabs is operative.

 (a) Draw the sample space using points in a Cartesian plane.
 (b) List and indicate on your diagram the event K.

 (c) List and indicate on your diagram the event L.
 (d) List and indicate on your diagram the event M .




2. Continuing the above problem, express in words what events are represented by the following
sets of points:

 (a) N = {(1, 1), (2, 1), (3, 1), (4, 1)}
 (b) O = {(2, 0), (3, 0), (4, 0), (4, 1), (4, 2)}

 (c) P = {(0, 0), (1, 0), (1, 1)}



3.     Continuing the two previous problems, which of the following events are mutually exclusive?

 (a) K and M                                            (d) L and P
 (b) K and O                                            (e) O and P

 (c) M and N                                            (f) K and N




4.     Referring to the sample space of Problems 1 and 2, list the points which constitute the
following events, and express them in words:

     (i) K                             (iv) M ∩ P                     (vii) O ∩ P

 (ii) O                                 (v) K ∪ N                     (viii) M ∪ P

(iii) L ∪ N                            (vi) L ∩ M                      (ix) O ∩ L




                                                    1
5. Analyzing business conditions in general, four government officials make the following claims:
The first claims that the probabilities for unemployment to go up, remain unchanged, or go down
are, respectively, 0.51, 0.33, and 0.12, the second claims that the respective probabilities are 0.55,
0.49, and −0.04, the third claims that the respective probabilities are 0.52, 0.38, and 0.10, and the
fourth claims the respective probabilities are 0.48, 0.34, and 0.21. Comment on these claims.




6.    If a certain mathematics professor asks a question of one of his students (chosen at random
from a very large class), the probabilities that his student will have received an A, B, C, D, or F
in the last examination are 0.09, 0.23, 0.36, 0.18, and 0.14. What are the probabilities that the
student received

  (i) at least a C?
 (ii) at least a D?

(iii) a B, C, or D?
(iv) at most a C?

Assume that each student in the class has taken the examination.




                                                  2

More Related Content

What's hot

Mid term paper Maths class viii 2011
Mid term paper Maths class viii 2011Mid term paper Maths class viii 2011
Mid term paper Maths class viii 2011
Asad Shafat
 
CXC -maths-2009-p1
CXC -maths-2009-p1CXC -maths-2009-p1
CXC -maths-2009-p1
leroy walker
 
Engr 371 final exam august 1999
Engr 371 final exam august 1999Engr 371 final exam august 1999
Engr 371 final exam august 1999
amnesiann
 
Module 8 Statistics
Module 8 StatisticsModule 8 Statistics
Module 8 Statistics
guestcc333c
 

What's hot (20)

Mid term paper Maths class viii 2011
Mid term paper Maths class viii 2011Mid term paper Maths class viii 2011
Mid term paper Maths class viii 2011
 
Previous Years Solved Question Papers for Staff Selection Commission (SSC)…
Previous Years Solved Question Papers for Staff Selection Commission (SSC)…Previous Years Solved Question Papers for Staff Selection Commission (SSC)…
Previous Years Solved Question Papers for Staff Selection Commission (SSC)…
 
Final examination 2011 class vii
Final examination 2011 class viiFinal examination 2011 class vii
Final examination 2011 class vii
 
10thmaths online(e)
10thmaths online(e)10thmaths online(e)
10thmaths online(e)
 
Class ix sample paper 2014-15
Class ix sample paper 2014-15Class ix sample paper 2014-15
Class ix sample paper 2014-15
 
ISI MSQE Entrance Question Paper (2008)
ISI MSQE Entrance Question Paper (2008)ISI MSQE Entrance Question Paper (2008)
ISI MSQE Entrance Question Paper (2008)
 
Tenth class-state syllabus-model paper-em-ap-mathematics
Tenth class-state syllabus-model paper-em-ap-mathematicsTenth class-state syllabus-model paper-em-ap-mathematics
Tenth class-state syllabus-model paper-em-ap-mathematics
 
E C M2221 P R O B A B I L I T Y A N D S T A T I S T I C S Set1
E C M2221  P R O B A B I L I T Y  A N D  S T A T I S T I C S Set1E C M2221  P R O B A B I L I T Y  A N D  S T A T I S T I C S Set1
E C M2221 P R O B A B I L I T Y A N D S T A T I S T I C S Set1
 
CXC MATHEMATICS MULTIPLE CHOICE
CXC MATHEMATICS MULTIPLE CHOICECXC MATHEMATICS MULTIPLE CHOICE
CXC MATHEMATICS MULTIPLE CHOICE
 
ISI MSQE Entrance Question Paper (2006)
ISI MSQE Entrance Question Paper (2006)ISI MSQE Entrance Question Paper (2006)
ISI MSQE Entrance Question Paper (2006)
 
ISI MSQE Entrance Question Paper (2005)
ISI MSQE Entrance Question Paper (2005)ISI MSQE Entrance Question Paper (2005)
ISI MSQE Entrance Question Paper (2005)
 
C4 January 2012 QP
C4 January 2012 QPC4 January 2012 QP
C4 January 2012 QP
 
Bsit jun 2011
Bsit jun 2011Bsit jun 2011
Bsit jun 2011
 
Algebra practice paper
Algebra practice paperAlgebra practice paper
Algebra practice paper
 
Conjuntos
ConjuntosConjuntos
Conjuntos
 
CXC -maths-2009-p1
CXC -maths-2009-p1CXC -maths-2009-p1
CXC -maths-2009-p1
 
Maths model%20 qp
Maths model%20 qpMaths model%20 qp
Maths model%20 qp
 
Engr 371 final exam august 1999
Engr 371 final exam august 1999Engr 371 final exam august 1999
Engr 371 final exam august 1999
 
Module 8 Statistics
Module 8 StatisticsModule 8 Statistics
Module 8 Statistics
 
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
 

Similar to Worksheet: Sample Spaces, the Axioms of Probability

Similar to Worksheet: Sample Spaces, the Axioms of Probability (8)

Physics Stream (2013-January) Question Papers
Physics  Stream (2013-January) Question Papers  Physics  Stream (2013-January) Question Papers
Physics Stream (2013-January) Question Papers
 
2nd Semester M Tech: Structural Engineering (June-2016) Question Papers
2nd Semester M Tech: Structural Engineering (June-2016) Question Papers2nd Semester M Tech: Structural Engineering (June-2016) Question Papers
2nd Semester M Tech: Structural Engineering (June-2016) Question Papers
 
ISI MSQE Entrance Question Paper (2012)
ISI MSQE Entrance Question Paper (2012)ISI MSQE Entrance Question Paper (2012)
ISI MSQE Entrance Question Paper (2012)
 
4th Semester (Dec-2015; Jan-2016) Civil Engineering Question Paper
4th Semester (Dec-2015; Jan-2016) Civil Engineering Question Paper4th Semester (Dec-2015; Jan-2016) Civil Engineering Question Paper
4th Semester (Dec-2015; Jan-2016) Civil Engineering Question Paper
 
I got a question in web site https://www.entrancei.com can anyone help me to ...
I got a question in web site https://www.entrancei.com can anyone help me to ...I got a question in web site https://www.entrancei.com can anyone help me to ...
I got a question in web site https://www.entrancei.com can anyone help me to ...
 
4th Semester Civil Engineering Question Papers June/july 2018
4th Semester Civil Engineering Question Papers June/july 20184th Semester Civil Engineering Question Papers June/july 2018
4th Semester Civil Engineering Question Papers June/july 2018
 
Final examination 2011 class vi
Final examination 2011 class viFinal examination 2011 class vi
Final examination 2011 class vi
 
4th Semester Civil Engineering (2013-December) Question Papers
4th Semester Civil Engineering (2013-December) Question Papers4th Semester Civil Engineering (2013-December) Question Papers
4th Semester Civil Engineering (2013-December) Question Papers
 

More from Matthew Leingang

More from Matthew Leingang (20)

Making Lesson Plans
Making Lesson PlansMaking Lesson Plans
Making Lesson Plans
 
Streamlining assessment, feedback, and archival with auto-multiple-choice
Streamlining assessment, feedback, and archival with auto-multiple-choiceStreamlining assessment, feedback, and archival with auto-multiple-choice
Streamlining assessment, feedback, and archival with auto-multiple-choice
 
Electronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsElectronic Grading of Paper Assessments
Electronic Grading of Paper Assessments
 
Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
 
Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)
 
Lesson 26: The Fundamental Theorem of Calculus (handout)
Lesson 26: The Fundamental Theorem of Calculus (handout)Lesson 26: The Fundamental Theorem of Calculus (handout)
Lesson 26: The Fundamental Theorem of Calculus (handout)
 
Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)
 
Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)
 
Lesson 24: Areas and Distances, The Definite Integral (handout)
Lesson 24: Areas and Distances, The Definite Integral (handout)Lesson 24: Areas and Distances, The Definite Integral (handout)
Lesson 24: Areas and Distances, The Definite Integral (handout)
 
Lesson 24: Areas and Distances, The Definite Integral (slides)
Lesson 24: Areas and Distances, The Definite Integral (slides)Lesson 24: Areas and Distances, The Definite Integral (slides)
Lesson 24: Areas and Distances, The Definite Integral (slides)
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)
 
Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)
 
Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)
 
Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)
 
Lesson 20: Derivatives and the Shapes of Curves (slides)
Lesson 20: Derivatives and the Shapes of Curves (slides)Lesson 20: Derivatives and the Shapes of Curves (slides)
Lesson 20: Derivatives and the Shapes of Curves (slides)
 
Lesson 20: Derivatives and the Shapes of Curves (handout)
Lesson 20: Derivatives and the Shapes of Curves (handout)Lesson 20: Derivatives and the Shapes of Curves (handout)
Lesson 20: Derivatives and the Shapes of Curves (handout)
 

Recently uploaded

Industrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training ReportIndustrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training Report
Avinash Rai
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Po-Chuan Chen
 

Recently uploaded (20)

Forest and Wildlife Resources Class 10 Free Study Material PDF
Forest and Wildlife Resources Class 10 Free Study Material PDFForest and Wildlife Resources Class 10 Free Study Material PDF
Forest and Wildlife Resources Class 10 Free Study Material PDF
 
Home assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdfHome assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdf
 
INU_CAPSTONEDESIGN_비밀번호486_업로드용 발표자료.pdf
INU_CAPSTONEDESIGN_비밀번호486_업로드용 발표자료.pdfINU_CAPSTONEDESIGN_비밀번호486_업로드용 발표자료.pdf
INU_CAPSTONEDESIGN_비밀번호486_업로드용 발표자료.pdf
 
Basic Civil Engineering Notes of Chapter-6, Topic- Ecosystem, Biodiversity G...
Basic Civil Engineering Notes of Chapter-6,  Topic- Ecosystem, Biodiversity G...Basic Civil Engineering Notes of Chapter-6,  Topic- Ecosystem, Biodiversity G...
Basic Civil Engineering Notes of Chapter-6, Topic- Ecosystem, Biodiversity G...
 
The Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve ThomasonThe Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve Thomason
 
Operations Management - Book1.p - Dr. Abdulfatah A. Salem
Operations Management - Book1.p  - Dr. Abdulfatah A. SalemOperations Management - Book1.p  - Dr. Abdulfatah A. Salem
Operations Management - Book1.p - Dr. Abdulfatah A. Salem
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
Industrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training ReportIndustrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training Report
 
2024_Student Session 2_ Set Plan Preparation.pptx
2024_Student Session 2_ Set Plan Preparation.pptx2024_Student Session 2_ Set Plan Preparation.pptx
2024_Student Session 2_ Set Plan Preparation.pptx
 
The Benefits and Challenges of Open Educational Resources
The Benefits and Challenges of Open Educational ResourcesThe Benefits and Challenges of Open Educational Resources
The Benefits and Challenges of Open Educational Resources
 
[GDSC YCCE] Build with AI Online Presentation
[GDSC YCCE] Build with AI Online Presentation[GDSC YCCE] Build with AI Online Presentation
[GDSC YCCE] Build with AI Online Presentation
 
Basic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
Basic Civil Engg Notes_Chapter-6_Environment Pollution & EngineeringBasic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
Basic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
 
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
 
Fish and Chips - have they had their chips
Fish and Chips - have they had their chipsFish and Chips - have they had their chips
Fish and Chips - have they had their chips
 
Instructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptxInstructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptx
 
NCERT Solutions Power Sharing Class 10 Notes pdf
NCERT Solutions Power Sharing Class 10 Notes pdfNCERT Solutions Power Sharing Class 10 Notes pdf
NCERT Solutions Power Sharing Class 10 Notes pdf
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
 
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptxMARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
 
B.ed spl. HI pdusu exam paper-2023-24.pdf
B.ed spl. HI pdusu exam paper-2023-24.pdfB.ed spl. HI pdusu exam paper-2023-24.pdf
B.ed spl. HI pdusu exam paper-2023-24.pdf
 

Worksheet: Sample Spaces, the Axioms of Probability

  • 1. V63.0233, Theory of Probability Name: Worksheet for Sections 2.1–2.3 : Sample Spaces and the Axioms of Probability July 1, 2009 1. A small taxicab company owns four cabs. Let X be the sample space of pairs (x, y), repre- senting the outcome that x cabs are in operative condition and y of those cabs are out on a call. Let K be the event that at least two cabs are out on a call, L the event that exactly one of the operative cabs is not out on a call, and M the event that only one of the cabs is operative. (a) Draw the sample space using points in a Cartesian plane. (b) List and indicate on your diagram the event K. (c) List and indicate on your diagram the event L. (d) List and indicate on your diagram the event M . 2. Continuing the above problem, express in words what events are represented by the following sets of points: (a) N = {(1, 1), (2, 1), (3, 1), (4, 1)} (b) O = {(2, 0), (3, 0), (4, 0), (4, 1), (4, 2)} (c) P = {(0, 0), (1, 0), (1, 1)} 3. Continuing the two previous problems, which of the following events are mutually exclusive? (a) K and M (d) L and P (b) K and O (e) O and P (c) M and N (f) K and N 4. Referring to the sample space of Problems 1 and 2, list the points which constitute the following events, and express them in words: (i) K (iv) M ∩ P (vii) O ∩ P (ii) O (v) K ∪ N (viii) M ∪ P (iii) L ∪ N (vi) L ∩ M (ix) O ∩ L 1
  • 2. 5. Analyzing business conditions in general, four government officials make the following claims: The first claims that the probabilities for unemployment to go up, remain unchanged, or go down are, respectively, 0.51, 0.33, and 0.12, the second claims that the respective probabilities are 0.55, 0.49, and −0.04, the third claims that the respective probabilities are 0.52, 0.38, and 0.10, and the fourth claims the respective probabilities are 0.48, 0.34, and 0.21. Comment on these claims. 6. If a certain mathematics professor asks a question of one of his students (chosen at random from a very large class), the probabilities that his student will have received an A, B, C, D, or F in the last examination are 0.09, 0.23, 0.36, 0.18, and 0.14. What are the probabilities that the student received (i) at least a C? (ii) at least a D? (iii) a B, C, or D? (iv) at most a C? Assume that each student in the class has taken the examination. 2