Solutions for Finite Mathematics and Calculus with Applications (10th Edition)
Problem 1YT:
Factor 4z4+4z3+18z2.Problem 2YT:
Factor x23x10.Problem 3YT:
Factor 6a2+5ab4b2.Problem 1E:
Factor each polynomial. If a polynomial cannot he factored, write prime. Factor out the greatest...Problem 17E:
Factor each polynomial. If a polynomial cannot be factored, write prime. Factor out the greatest...Problem 19E:
Factor each polynomial. If a polynomial cannot be factored, write prime. Factor out the greatest...Problem 21E:
Factor each polynomial. If a polynomial cannot be factored, write prime. Factor out the greatest...Browse All Chapters of This Textbook
Chapter R.1 - PolynomialsChapter R.2 - FactoringChapter R.3 - Rational ExpressionsChapter R.4 - EquationsChapter R.5 - InequalitiesChapter R.6 - ExponentsChapter R.7 - RadicalsChapter 1 - Linear FunctionsChapter 1.1 - Slopes And Equations Of LinesChapter 1.2 - Linear Functions And Applications
Chapter 1.3 - The Least Squares LineChapter 2 - Systems Of Linear Equations And MatricesChapter 2.1 - Solution Of Linear Systems By The Echelon MethodChapter 2.2 - Solution Of Linear Systems By The Gauss-jordan MethodChapter 2.3 - Addition And Subtraction Of MatricesChapter 2.4 - Multiplication Of MatricesChapter 2.5 - Matrix InversesChapter 2.6 - Input-output ModelsChapter 3 - Linear Programming: The Graphical MethodChapter 3.1 - Graphing Linear InequalitiesChapter 3.2 - Solving Linear Programming Problems GraphicallyChapter 3.3 - Applications Of Linear ProgrammingChapter 4 - Linear Programming: The Simplex MethodChapter 4.1 - Slack Variables And The PivotChapter 4.2 - Maximization ProblemsChapter 4.3 - Minimization Problems; DualityChapter 4.4 - Nonstandard ProblemsChapter 5 - Mathematics Of FinanceChapter 5.1 - Simple And Compound InterestChapter 5.2 - Future Value Of An AnnuityChapter 5.3 - Present Value Of An Annuity; AmortizationChapter 6 - LogicChapter 6.1 - StatementsChapter 6.2 - Truth Tables And Equivalent StatementsChapter 6.3 - The Conditional And CircuitsChapter 6.4 - More On The ConditionalChapter 6.5 - Analyzing Arguments And ProofsChapter 6.6 - Analyzing Arguments With QuantifiersChapter 7 - Sets And ProbabilityChapter 7.1 - SetsChapter 7.2 - Applications Of Venn DiagramsChapter 7.3 - Introduction To ProbabilityChapter 7.4 - Basic Concepts Of ProbabilityChapter 7.5 - Conditional Probability; Independent EventsChapter 7.6 - Bayes' TheoremChapter 8 - Counting Principles; Further Probability TopicsChapter 8.1 - The Multiplication Principle; PermutationsChapter 8.2 - CombinationsChapter 8.3 - Probability Applications Of Counting PrinciplesChapter 8.4 - Binomial ProbabilityChapter 8.5 - Probability Distributions; Expected ValueChapter 9 - StatisticsChapter 9.1 - Frequency Distribution; Measures Of Central TendencyChapter 9.2 - Measures Of VariationChapter 9.3 - The Normal DistributionChapter 9.4 - Normal Approximation To The Binomial DistributionChapter 10 - Nonlinear FunctionsChapter 10.1 - Properties Of FunctionsChapter 10.2 - Quadratic Functions; Translation And ReflectionChapter 10.3 - Polynomial And Rational FunctionsChapter 10.4 - Exponential FunctionsChapter 10.5 - Logarithmic FunctionsChapter 10.6 - Applications: Growth And Decay; Mathematics Of FinanceChapter 11 - The DerivativeChapter 11.1 - LimitsChapter 11.2 - ContinuityChapter 11.3 - Rates Of ChangeChapter 11.4 - Definition Of The DerivativeChapter 11.5 - Graphical DifferentiationChapter 12 - Calculating The DerivativeChapter 12.1 - Techniques For Finding DerivativesChapter 12.2 - Derivatives Of Products And QuotientsChapter 12.3 - The Chain RuleChapter 12.4 - Derivatives Of Exponential FunctionsChapter 12.5 - Derivatives Of Logarithmic FunctionsChapter 13 - Graphs And The DerivativeChapter 13.1 - Increasing And Decreasing FunctionsChapter 13.2 - Relative ExtremaChapter 13.3 - Higher Derivatives, Concavity, And The Second Derivative TestChapter 13.4 - Curve SketchingChapter 14 - Applications Of The DerivativeChapter 14.1 - Absolute ExtremaChapter 14.2 - Applications Of ExtremaChapter 14.3 - Further Business Applications: Economic Lot Size; Economic Order Quantity; Elasticity Of DemandChapter 14.4 - Implicit DifferentiationChapter 14.5 - Related RatesChapter 14.6 - Differentials: Linear ApproximationChapter 15 - IntegrationChapter 15.1 - AntiderivativesChapter 15.2 - SubstitutionChapter 15.3 - Area And The Definite IntegralChapter 15.4 - The Fundamental Theorem Of CalculusChapter 15.5 - The Area Between Two CurvesChapter 15.6 - Numerical IntegrationChapter 16 - Further Techniques And Applications Of IntegrationChapter 16.1 - Integration By PartsChapter 16.2 - Volume And Average ValueChapter 16.3 - Continuous Money FlowChapter 16.4 - Improper IntegralsChapter 16.5 - Solutions Of Elementary And Separable Differential EquationsChapter 17 - Multivariable CalculusChapter 17.1 - Functions Of Several VariablesChapter 17.2 - Partial DerivativesChapter 17.3 - Maxima And MinimaChapter 17.4 - Lagrange MultipliersChapter 17.5 - Total Differentials And ApproximationsChapter 17.6 - Double IntegralsChapter 18 - Probability And CalculusChapter 18.1 - Continuous Probability ModelsChapter 18.2 - Expected Value And Variance Of Continuous Random VariablesChapter 18.3 - Special Probability Density Functions
Book Details
Finite Mathematics and Calculus with Applications, Tenth Edition by Lial, Greenwell, and Ritchey, is our most applied text to date, making the math relevant and accessible for students of business, life science, and social sciences. Current applications, many using real data, are incorporated in numerous forms throughout the book, preparing students for success in their professional careers. With this edition, students will find new ways to help them learn the material, such as Warm-Up Exercises and added "help text" within examples.
Sample Solutions for this Textbook
We offer sample solutions for Finite Mathematics and Calculus with Applications (10th Edition) homework problems. See examples below:
Chapter 1, Problem 1REChapter 2, Problem 1REChapter 3, Problem 1REChapter 4, Problem 1REChapter 5, Problem 1REChapter 6, Problem 1REThe well-defined collection of objects is defined by set. The set A is said to be subset of B if all...Permutation is an arrangement of r elements from the set of n elements. Permutation is denoted as...Chapter 9, Problem 1RE
A polynomial of degree one or less, including the zero polynomial is termed as the linear function....Chapter 11, Problem 1REThe amount of calcium remaining is C(t)=12(2t+1)−12 . The rate of change of the calcium level with...Chapter 12, Problem 1REChapter 13, Problem 1REChapter 14, Problem 1REChapter 15, Problem 1REChapter 16, Problem 1REChapter 17, Problem 1REA continuous random variable can take on any value in some interval of real numbers. Example:...
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Finite Mathematics and Calculus with Applications
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