INSTRUCTOR’S SOLUTION M
S MANUAL
M
FINITE M ATHEMATICS
m m
AND ITS A PPLICATIONS
m m m
THIRTEENTH EDITION m
Larry J. Goldstein
m m
Goldstein mEducational mTechnologies
David I. Schneider
m m
University mofmMaryland
Martha J. Siegel m m
Towson mUniversity
,Themauthormandmpublishermof mthismbook mhavemused mtheirmbest meffortsmin mpreparingmthismbook.mThesemeffortsmincludem
themdevelopment,mresearch,mand mtestingmof mthemtheoriesmand mprogramsmto mdeterminemtheirmeffectiveness.mThemauthor
mand mpublishermmake mno mwarranty mof many mkind,mexpressed mormimplied,mwith mregard mto mthese mprogramsmormthe mdocu
mentation mcontained min mthismbook.mThemauthormand mpublishermshallmnot mbemliablemin many mevent mformincidentalmormco
nsequentialmdamagesmin mconnection mwith,mormarisingmout mof,mthemfurnishing,mperformance,mormusemof mthesemprogram
s.
Reproduced mby mPearson mfrom melectronicmfilesmsupplied mby mthemauthor
.mCopyright m©m2023,m2018,m2014 m Pearson mEducation,mInc.
Allmrightsmreserved.mNo mpart mof mthismpublication mmay mbemreproduced,mstored min ma mretrievalmsystem,mormtransmitted,mi
n many mform mormby many mmeans,melectronic,mmechanical,mphotocopying,mrecording,mormotherwise,mwithout mthempriormw
ritten mpermission mof mthempublisher.mPrinted min mthemUnited mStatesmof mAmerica.
ISBN-13: m 978-0-13-761654-1
, Contents
Chapter 1: Linear Equations and Straight Lines
m m m m m 1–1
Chapter 2: Matrices
m 2–1
Chapter 3: Linear Programming, A Geometric Approach
m m m m m 3–1
Chapter 4: The Simplex Method
m m m 4–1
Chapter 5: Sets and Counting
m m m 5–1
Chapter 6: Probability
m 6–1
Chapter 7: Probability and Statistics
m m m 7–1
Chapter 8: Markov Processes
m m 8–1
Chapter 9: The Theory of Games
m m m m 9–1
Chapter 10: The Mathematics of Finance
m m m m 10–1
Chapter 11: Logic
m 11–1
Chapter 12: Difference Equations and Mathematical Models
m m m m m 12–1
,
S MANUAL
M
FINITE M ATHEMATICS
m m
AND ITS A PPLICATIONS
m m m
THIRTEENTH EDITION m
Larry J. Goldstein
m m
Goldstein mEducational mTechnologies
David I. Schneider
m m
University mofmMaryland
Martha J. Siegel m m
Towson mUniversity
,Themauthormandmpublishermof mthismbook mhavemused mtheirmbest meffortsmin mpreparingmthismbook.mThesemeffortsmincludem
themdevelopment,mresearch,mand mtestingmof mthemtheoriesmand mprogramsmto mdeterminemtheirmeffectiveness.mThemauthor
mand mpublishermmake mno mwarranty mof many mkind,mexpressed mormimplied,mwith mregard mto mthese mprogramsmormthe mdocu
mentation mcontained min mthismbook.mThemauthormand mpublishermshallmnot mbemliablemin many mevent mformincidentalmormco
nsequentialmdamagesmin mconnection mwith,mormarisingmout mof,mthemfurnishing,mperformance,mormusemof mthesemprogram
s.
Reproduced mby mPearson mfrom melectronicmfilesmsupplied mby mthemauthor
.mCopyright m©m2023,m2018,m2014 m Pearson mEducation,mInc.
Allmrightsmreserved.mNo mpart mof mthismpublication mmay mbemreproduced,mstored min ma mretrievalmsystem,mormtransmitted,mi
n many mform mormby many mmeans,melectronic,mmechanical,mphotocopying,mrecording,mormotherwise,mwithout mthempriormw
ritten mpermission mof mthempublisher.mPrinted min mthemUnited mStatesmof mAmerica.
ISBN-13: m 978-0-13-761654-1
, Contents
Chapter 1: Linear Equations and Straight Lines
m m m m m 1–1
Chapter 2: Matrices
m 2–1
Chapter 3: Linear Programming, A Geometric Approach
m m m m m 3–1
Chapter 4: The Simplex Method
m m m 4–1
Chapter 5: Sets and Counting
m m m 5–1
Chapter 6: Probability
m 6–1
Chapter 7: Probability and Statistics
m m m 7–1
Chapter 8: Markov Processes
m m 8–1
Chapter 9: The Theory of Games
m m m m 9–1
Chapter 10: The Mathematics of Finance
m m m m 10–1
Chapter 11: Logic
m 11–1
Chapter 12: Difference Equations and Mathematical Models
m m m m m 12–1
,
