Chapter 1 – Question # 4 Group F Del Moral, Maria Lascano-Velez, Marcela Powlett, Nayon Varela, Brian.

Slides:



Advertisements
Similar presentations
1 Chapter 6: Firms and Production Firms’ goal is to maximize their profit. Profit function: π= R – C = P*Q – C(Q) where R is revenue, C is cost, P is price,
Advertisements

© 2008 Pearson Prentice Hall, Experiencing MIS, David Kroenke Chapter 2 Business Processes, Information, and Information Systems Chapter 2.
Tangent lines Recall: tangent line is the limit of secant line The tangent line to the curve y=f(x) at the point P(a,f(a)) is the line through P with slope.
RFM Analysis Collaboration Excercise Chapter 9 (page. 366) MGS Group F Maria Del Moral, Marcela Lascano Brian Varela, Nayon Powlett.
MIS and You.
CSIS-114: Management Information Systems
Costs and Cost Minimization
Copyright © 2008 Pearson Education, Inc. Chapter 3 The Derivative Copyright © 2008 Pearson Education, Inc.
Canonical Correlation: Equations Psy 524 Andrew Ainsworth.
© 2007 Prentice Hall, Inc.1 Opposing Forces Guide–I Don’t Need This Class Consider the following: I already know how to use Excel and Word. I’m terrified.
Dr. Eric Breimer 1-1 CSIS-114: Management Information Systems.
© Pearson Prentice Hall Using MIS 2e Chapter 1 MIS and You David Kroenke.
Best Practices Vocabulary Research. Multiple Levels of Understanding B Verbal Association Level Partial Concept Knowledge Full Concept Knowledge MediatedIncidentalExplicit.
CHAPTER Continuity CHAPTER Derivatives of Polynomials and Exponential Functions.
Every slope is a derivative. Velocity = slope of the tangent line to a position vs. time graph Acceleration = slope of the velocity vs. time graph How.
Formal Definition of Antiderivative and Indefinite Integral Lesson 5-3.
AP Calculus Chapter 2, Section 2 Basic Differentiation Rules and Rates of Change
6.1 Antiderivatives and Slope Fields Objectives SWBAT: 1)construct antiderivatives using the fundamental theorem of calculus 2)solve initial value problems.
John F. Kennedy Elementary School Library Parts of a Book A working knowledge of the different parts of a Book to retrieve the information you need.
INTRODUCTORY MATHEMATICAL ANALYSIS For Business, Economics, and the Life and Social Sciences  2011 Pearson Education, Inc. Chapter 11 Differentiation.
MIS and You Chapter 1.
Introduction to the Framework Unit 1 - Getting Ready for the Unit
DIFFERENTIATING “COMBINED” FUNCTIONS ---PART I CONSTANT MULTIPLES, SUMS AND DIFFERENCES.
Multiple Integration 14 Copyright © Cengage Learning. All rights reserved.
Chapter 10 Pricing: Understanding and Capturing Customer Value.
Differentiating “Combined” Functions ---Part I Constant Multiples, Sums and Differences.
Sec 3.3: Differentiation Rules Example: Constant function.
CHAPTER Continuity The Product and Quotient Rules Though the derivative of the sum of two functions is the the sum of their derivatives, an analogous.
SAT Prep. Basic Differentiation Rules and Rates of Change Find the derivative of a function using the Constant Rule Find the derivative of a function.
Basic Differentiation Rules The CONSTANT Rule: The derivative of a constant function is 0.
© Pearson Prentice Hall Using MIS 2e Chapter 1 MIS and You David Kroenke.
Sec. 3.3: Rules of Differentiation. The following rules allow you to find derivatives without the direct use of the limit definition. The Constant Rule.
Mind Mapping. Dr. J. Mior2 Mind Map Sample Dr. J. Mior3 What is a Mind Map? Mind map is a tool which helps you think and learn. Shows the structure of.
Group 1 Our Learning Journey Transition in Early Years.
5.3 Definite Integrals and Antiderivatives. What you’ll learn about Properties of Definite Integrals Average Value of a Function Mean Value Theorem for.
Pricing: Understanding and Capturing Customer Value
Business Processes, Information, and Information Systems Chapter 2.
Techniques of Differentiation. We now have a shortcut to find a derivative of a simple function. You multiply the exponent by any coefficient in front.
STAT 1301 Chapter 16 Chance Processes. Chance Process outcome not predetermined involves chance Examples - amount of money won at roulette - % Democrats.
Calculus Chapter 2 SECTION 2: THE DERIVATIVE AND THE TANGENT LINE PROBLEM 1.
Chapter 2 Differentiation. Copyright © Houghton Mifflin Company. All rights reserved.2 | 2 Tangent Line to a Graph.
Chapter 5 Logarithmic, Exponential, and Other Transcendental Functions.
Differentiating “Combined” Functions Deriving the Sum and Product Rules for Differentiation.
8.9: Finding Power Series Using Algebra or Calculus Many times a function does not have a simple way to rewrite as the sum of an infinite geometric series.
Chapter Five Integration.
Section 14.2 Computing Partial Derivatives Algebraically
Chapter 5 The Definite Integral. Chapter 5 The Definite Integral.
Definite Integrals and Antiderivatives
Chapter 3 Derivatives.
Rules for Differentiation
Rules for Differentiation
Applications of the Derivative
5.4 – Applying Definite Integration
Exam2: Differentiation
Differentiating “Combined” Functions ---Part I
Section 5.3 Definite Integrals and Antiderivatives
Differentiating “Combined” Functions ---Part I
Суури мэдлэг Basic Knowledge
Definite Integrals and Antiderivatives
By: Luis Ayala and Violetta Bove
Chapter 2 Differentiation.
Rules for Differentiation
Chapter 6 Applications of Derivatives Section 6.2 Definite Integrals.
Combinations of Functions
Similarities Differences
Direct Variation How else could we have solved for k?
Chapter 1 MIS and You.
Review Simplify 8 – 120 ÷ 5 • ÷ – 2 | 5 – 7 |
Presentation transcript:

Chapter 1 – Question # 4 Group F Del Moral, Maria Lascano-Velez, Marcela Powlett, Nayon Varela, Brian

What is information ? Definitions vary. Information is: – Knowledge derived from data. – Data presented in a meaningful context. – Data processed by summing, ordering, averaging, grouping, comparing, or other similar operations. – A difference that makes a difference.

The key is to differentiate between data and information ! Data : raw materials for data processing Information : data that has already been processed in a way that it has meaning to the person who receives it.

Information is Subjective What may be important to you may not hold the same level of importance to someone else. Data in a manufacturing system may be very important to that system. When it’s combined with data from other systems, it may lose its prominence in the larger context.