2.1 Inductive Reasoning and Conjecture. Objectives Make conjectures based on inductive reasoning Make conjectures based on inductive reasoning Find counterexamples.

Slides:



Advertisements
Similar presentations
Inductive Reasoning and Conjecture
Advertisements

Sec 2-1 Concept: Use Inductive Reasoning Objectives: Given a pattern, describe it through inductive reasoning.
Over Chapter 1 5-Minute Check 1 A.triangular pyramid B.triangular prism C.rectangular pyramid D.cone Identify the solid.
Splash Screen. Then/Now You will be able to make conjectures based on inductive reasoning. You will be able to find counterexamples.
Chapter 2 Reasoning and Proofs. Chapter 2 Glossary Terms Conjecture Inductive Reasoning Counter Examples Statement Truth Value Negation Compound Statement.
Geometry Vocabulary 1A Geometry, like much of mathematics and science, developed when people began recognizing and describing patterns. In this course,
Lesson 2-1 Inductive Reasoning and Conjecture. Ohio Content Standards:
Inductive Reasoning Conjecture Counterexample Vocabulary.
Lesson 1 Menu Warm-up Problems 1.Refer to the figure. Identify the solid. 2.Find the distance between A(–3, 7) and (1, 4) 3.Find m  C if  C and  D are.
2-1 Inductive Reasoning and Conjecture
Inductive Reasoning and Conjecture and Deductive Reasoning
Geometry Notes 1.1 Patterns and Inductive Reasoning
Review Evaluate the expression for the given value of n: 3n – 2 ; n = 4 n 2 – 3n ; n=6 10 and 18.
WARM - UP. SECTION 1.1 INDUCTIVE REASONING GEOMETRY.
Chapter 2 Connecting Reasoning and Proof
Holt McDougal Geometry 2-1 Using Inductive Reasoning to Make Conjectures Use inductive reasoning to identify patterns and make conjectures. Find counterexamples.
Splash Screen. Lesson Menu Five-Minute Check (over Chapter 1) Then/Now New Vocabulary Example 1:Patterns and Conjecture Example 2:Algebraic and Geometric.
Inductive Reasoning and Conditional Statements Chapter 2-1 Mr. Dorn.
Chapter 2 Reasoning and Proof. 2.1 Inductive Reasoning and Conjecture Conjecture- an educated guess based on known information Inductive reasoning- reasoning.
1.2 Patterns and Inductive Reasoning. Ex. 1: Describing a Visual Pattern Sketch the next figure in the pattern
Lesson 2.1 Use Inductive Reasoning. Describe how to sketch the fourth figure in the pattern. Then sketch the fourth figure. What is your reasoning behind.
Inductive Reasoning 1-2A What do you think are basic geometry figures?
Lesson 2-1 Inductive Reasoning and Conjecture. 5-Minute Check on Chapter 1 Transparency Find the value of x if R is between Q and T, QR = 3x +
1.1 Patterns and Inductive Reasoning
Splash Screen. Lesson Menu Five-Minute Check (over Chapter 1) Then/Now New Vocabulary Example 1:Patterns and Conjecture Example 2:Algebraic and Geometric.
Chapter 2 Reasoning and Proof. 2.1 Inductive Reasoning and Conjecture 0 Conjecture- an educated guess based on known information 0 Inductive reasoning-
2.1 Use Inductive Reasoning
Welcome to Interactive Chalkboard Glencoe Geometry Interactive Chalkboard Copyright © by The McGraw-Hill Companies, Inc. Developed by FSCreations, Inc.,
Lesson 1.2 Inductive Reasoning Pages Observe Look for patterns Develop a hypothesis (or conjecture) Test your hypothesis.
1 LESSON 1.1 PATTERNS AND INDUCTIVE REASONING. 2 Objectives To find and describe patterns. To use inductive reasoning to make conjectures.
2.1 Inductive Reasoning and Conjecture. Objectives Make conjectures based on inductive reasoning Find counterexamples Describing Patterns: Visual patterns.
Using Inductive Reasoning to Make Conjectures Geometry Farris 2015.
Geometry Section 2-1 Inductive Reasoning. Then/Now You used data to find patterns and make predictions. Make conjectures based on inductive reasoning.
 A conjecture is an educated guess based on known information  Inductive reasoning is reasoning that uses a number of specific examples to arrive at.
Holt McDougal Geometry 2-1 Using Inductive Reasoning to Make Conjectures Toolbox Pg. 77 (11-15; 17-22; 24-27; 38 why 4 )
Inductive Reasoning & Conjecture What is a Conjecture? What is inductive reasoning?
Section 2.1: Use Inductive Reasoning Conjecture: A conjecture is an unproven statement that is based on observations; an educated guess. Inductive Reasoning:
Patterns and Inductive Reasoning. Inductive reasoning is reasoning that is based on patterns you observe. If you observe a pattern in a sequence, you.
Inductive and Deductive Reasoning
3 – 6 Inductive Reasoning.
2-1 Patterns and Inductive Reasoning
Chapter 2 Reasoning and Proof.
Patterns and Conjecture
Chapter 2: Reasoning and Proof
Chapter 2 Calendar (reworked from original schedule)
Splash Screen.
Inductive Reasoning Conjecture – An educated guess based on known information. Inductive Reasoning – Reasoning that uses a number of specific examples.
Splash Screen.
Splash Screen.
Five-Minute Check (over Chapter 1) Then/Now New Vocabulary
BEFORE BEGINNING THIS MODULE, MAKE SURE YOU ARE ONLY USING THE MOZILLA FIREFOX OR GOOGLE CHROME BROWSER. DO NOT USE INTERNET EXPLORER!! Then/Now.
Chapter 2 Reasoning and Proof
Patterns and Inductive Reasoning
BEFORE BEGINNING THIS MODULE, MAKE SURE YOU ARE ONLY USING THE MOZILLA FIREFOX OR GOOGLE CHROME BROWSER. DO NOT USE INTERNET EXPLORER!! Then/Now.
Splash Screen.
1-5: Inductive Reasoning
1. Find the distance between A(–3, 7) and B(1, 4).
Inductive Reasoning and Conjecture
Notes 2.1 Inductive Reasoning.
Inductive Reasoning and Conjecture
Splash Screen.
Chapter 2 Reasoning and Proof.
Patterns and Inductive Reasoning
Patterns and Inductive Reasoning
Lesson 1-1 Patterns and Inductive Reasoning
2-1: Use Inductive reasoning
2-1 Use Inductive Reasoning
Lesson 2.1 Use Inductive Reasoning
Five-Minute Check (over Chapter 1) Mathematical Practices Then/Now
4.2 Using Inductive Reasoning
Presentation transcript:

2.1 Inductive Reasoning and Conjecture

Objectives Make conjectures based on inductive reasoning Make conjectures based on inductive reasoning Find counterexamples Find counterexamples

Making Conjectures Conjecture – an educated guess based on known information Conjecture – an educated guess based on known information Inductive Reasoning – using a number of specific examples to arrive at a plausible generalization or prediction Inductive Reasoning – using a number of specific examples to arrive at a plausible generalization or prediction We use inductive reasoning to create a conjecture. We use inductive reasoning to create a conjecture.

Make a conjecture about the next number based on the pattern. 2, 4, 12, 48, 240 Answer: 1440 Find a pattern: ×2×2 The numbers are multiplied by 2, 3, 4, and 5. Conjecture: The next number will be multiplied by 6. So, it will be or ×3×3×4×4×5×5 Example 1:

Make a conjecture about the next number based on the pattern. Answer: The next number will be Your Turn:

Given: points L, M, and N; Examine the measures of the segments. Since the points can be collinear with point N between points L and M. Answer: Conjecture: L, M, and N are collinear. For points L, M, and N, and, make a conjecture and draw a figure to illustrate your conjecture. Example 2:

ACE is a right triangle with Make a conjecture and draw a figure to illustrate your conjecture. Answer: Conjecture: In  ACE,  C is a right angle and is the hypotenuse. Your Turn:

Counterexamples Recall, conjectures are based on multiple observations. Whenever we are able to find an instance in which the conjecture is false, the entire conjecture is untrue. This false example is referred to as a counterexample.

UNEMPLOYMENT Based on the table showing unemployment rates for various cities in Kansas, find a counterexample for the following statement. The unemployment rate is highest in the cities with the most people. County Civilian Labor Force Rate Shawnee90,2543.1% Jefferson 9,937 9,9373.0% Jackson 8,915 8,9152.8% Douglas55,7303.2% Osage10,1824.0% Wabaunsee 3,575 3,5753.0% Pottawatomie11,0252.1% Source: Labor Market Information Services– Kansas Department of Human Resources Example 3:

Examine the data in the table. Find two cities such that the population of the first is greater than the population of the second while the unemployment rate of the first is less than the unemployment rate of the second. Shawnee has a greater population than Osage while Shawnee has a lower unemployment rate than Osage. Answer: Osage has only 10,182 people on its civilian labor force, and it has a higher rate of unemployment than Shawnee, which has 90,254 people on its civilian labor force. Example 3:

DRIVING The table on the next screen shows selected states, the 2000 population of each state, and the number of people per 1000 residents who are licensed drivers in each state. Based on the table, find a counterexample for the following statement. The greater the population of a state, the lower the number of drivers per 1000 residents. Your Turn:

StatePopulation Licensed Drivers per 1000 Alabama 4,447,100 4,447, California33,871, Texas20,851, Vermont 608, , West Virginia 1,808,344 1,808, Wisconsin 5,363,675 5,363, Source: The World Almanac and Book of Facts 2003 Answer: Alabama has a greater population than West Virginia, and it has more drivers per 1000 than West Virginia. Your Turn:

Assignment Geometry: Geometry: Pg. 64 – 65 #11 – 36 #11 – 36 Pre-AP Geometry: Pre-AP Geometry: Pg. 64 – 65 #11 – 36,