Sponge. Use finite differences to determine the degree of the polynomial that best describes the data. Example 1B: Using Finite Differences to Determine.

Slides:



Advertisements
Similar presentations
7.1 An Introduction to Polynomials
Advertisements

EXAMPLE 1 Write a cubic function
Problem of the Day 1) I am thinking of four numbers such that
THE FIRST OF THE POWER SEQUENCES!
Intro to Probability STA 220 – Lecture #5. Randomness and Probability We call a phenomenon if individual outcomes are uncertain but there is nonetheless.
Chapter one Probability.
Notes Over 6.9Writing a Cubic Function Write the cubic function whose graph is shown.
Curving Fitting with 6-9 Polynomial Functions Warm Up
Modeling with Polynomial Functions
Curving Fitting with 6-9 Polynomial Functions Warm Up
Patterns and Recursion
10.1 – Exponents Notation that represents repeated multiplication of the same factor. where a is the base (or factor) and n is the exponent. Examples:
Probability Rules l Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1.
Lesson 4-4 Example Determine the slope of the function y = 5x – 2. Step 1Complete a function table for the equation.
7.1 An Introduction to Polynomials Objectives: Identify, evaluate, add, and subtract polynomials. Classify polynomials, and describe the shapes of their.
6-7: Investigating Graphs of Polynomial Functions.
5.5 Theorems about Roots of Polynomial Equations P
Lesson 6-6 Example Example 2 Graph y = 3x + 2 and determine the slope of the line. 1.Complete a function table for the equation.
Polynomials. Characteristics of Polynomials DEFINITION: an algebraic expression consisting of two or more terms (n ≥ 2). 1. Usually has one variable (x)
Chapter 2.  A polynomial function has the form  where are real numbers and n is a nonnegative integer. In other words, a polynomial is the sum of one.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
FHSPolynomials1 Vocabulary A monomial is a number, a variable, or a product of numbers and variables with whole number exponents. If the monomial includes.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
Vocabulary Two events in which either one or the other must take place, but they cannot both happen at the same time. The sum of their probabilities.
Polynomial Functions Definitions Degrees Graphing.
UNIT 2, LESSON 1 POLYNOMIAL FUNCTIONS. WHAT IS A POLYNOMIAL FUNCTION? Coefficients must be real numbers. Exponents must be whole numbers.
Curve Fitting with Polynomial Models Essential Questions
Objectives Use finite differences to determine the degree of a polynomial that will fit a given set of data. Use technology to find polynomial models for.
Polynomial definitions Al gebraic expression -numbers and/or variables with operations 2a + 4 3r6y  7 term: numbers or variables separated by a + sign.
Curve Fitting with 3-9 Polynomial Models Warm Up Lesson Presentation
5-1 Polynomial Functions Classify polynomials by describing the degree and end behavior.
Section 5.1 – Polynomial Functions Students will be able to: Graph polynomial functions, identifying zeros when suitable factorizations are available and.
Rational Zero Theorem Used to factor a cubic or quartic polynomial function with a leading coefficient not equal to 1.
Curve Fitting with Polynomial Models Essential Questions
P REVIEW TO 6.7: G RAPHS OF P OLYNOMIAL. Identify the leading coefficient, degree, and end behavior. Example 1: Determining End Behavior of Polynomial.
Polynomials. Polynomial  “many terms” The Degree of a polynomial is the largest degree of any single term – Examples:  has a degree of 5 The Leading.
Questions from yesterday???.
Evaluate the following functions with the given value.
Degrees of a Monomial. Degree of a monomial: Degree is the exponent that corresponds to the variable. Examples: 32d -2x 4 16x 3 y 2 4a 4 b 2 c 44 has.
Describe dependent events. When one event changes the outcome of a second (or third) event.
Calculate theoretical probabilities and find the complement of an event.
2.1 Classifying Polynomials
Curving Fitting with 6-9 Polynomial Functions Warm Up
Objectives Find entries in Pascal’s triangle.
EXAMPLE 1 Write a cubic function
Algebra II Section 5-3 Polynomial Functions.
Pre-AP Algebra 2 Goal(s):
5.2 Evaluate and Graph Polynomial Functions
Evaluate and Graph Polynomial Functions
Curving Fitting with 6-9 Polynomial Functions Warm Up
Polynomials.
Evaluate Polynomial Functions
Factor and Solve Polynomial Equations
Applying Ratios to Probability
Homework Review.
Families of cubic polynomial functions
4.7 Curve Fitting with Finite Differences
Curve Fitting with 3-9 Polynomial Models Warm Up Lesson Presentation
Objectives Classify polynomials and write polynomials in standard form. Evaluate polynomial expressions.
3.1 Polynomials How do I know if it’s a polynomial?
4.6 Curve Fitting with Finite Differences
4.3: Polynomial Functions
Section Probability Models
Polynomial Functions What you’ll learn
Warm-Up 4 minutes Evaluate each expression for x = -2. 1) -x + 1
Make sure you have book and working calculator EVERY day!!!
Adding and Subtracting Polynomials
Probability Rules Rule 1.
Curving Fitting with 6-9 Polynomial Functions Warm Up
Probability.
Presentation transcript:

sponge

Use finite differences to determine the degree of the polynomial that best describes the data. Example 1B: Using Finite Differences to Determine Degree The x-values increase by a constant 3. Find the differences of the y-values. x–6–30369 y– y– First differences: Not constant Second differences: – Not constant The fourth differences are constant. A quartic polynomial best describes the data. Third differences: Not constant Fourth differences: –3 – 3 Constant

Check It Out! Example 1 Use finite differences to determine the degree of the polynomial that best describes the data. The x-values increase by a constant 3. Find the differences of the y-values. x y y Second differences: – 14 – Not constant The third differences are constant. A cubic polynomial best describes the data. Third differences: Constant First differences: Not constant

Probability rules 1. Any probability is a number between 0 and The sum of the probabilities of all possible outcomes must equal If two events have no outcomes in common, the probability that one or the other occurs is the sum of their individual probabilities. 4. The probability that an event does not occur is 1 minus the probability that the event does occur.

Distance learning P(40 or over) = P(not 18 to 23) = P(30 or over) =

Benford’s law ch?v=O8N26edbqLM