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91Ó°ÊÓ

Determine whether the statement is true or false. Justify your answer. The set of ordered pairs \\{(-8,-2),(-6,0),(-4,0) (-2,2),(0,4),(2,-2)\\} represents a function.

Short Answer

Expert verified
The statement is true. The set of ordered pairs \{(-8,-2),(-6,0),(-4,0),(-2,2),(0,4),(2,-2)\} represents a function, because each x-value in the ordered pairs maps to exactly one y-value.

Step by step solution

01

Identify the x-values

For the given set of ordered pairs \{(-8,-2),(-6,0),(-4,0),(-2,2),(0,4),(2,-2)\}, the x-values are -8, -6, -4, -2, 0, 2.
02

Check for duplicate x-values

Check to see if any of the x-values occur more than once in the set of ordered pairs. In this case, each of the x-values occur only once.
03

Determine if the set represents a function

Since each x-value in the ordered pairs maps to exactly one y-value, it can be concluded that the set of ordered pairs represents a function.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Ordered Pairs
In mathematics, an ordered pair consists of two elements with a particular, fixed sequence. The common notation for an ordered pair is \( (a, b) \), where \( a \) and \( b \) are typically numbers. In the case of functions, each ordered pair represents a unique connection between two variables, usually \( x \) and \( y \) values.This partnership is crucial because it tells us how one variable, \( x \) (the input), is related to another variable, \( y \) (the output). For example, in the ordered pairs provided in the exercise \( \{(-8,-2),(-6,0),(-4,0), (-2,2),(0,4),(2,-2)\} \), each \( x \) comes first, indicating its position as the independent variable, while each \( y \) is the dependent variable, its value determined by its corresponding \( x \) value.
Function Definition
Let's clarify what a function is. A function is a special type of relation where every \( x \) value (input) is associated with exactly one \( y \) value (output). That's what makes a function distinctive: it consistently provides the same output for a given input.Mathematically, we often write a function as \( f(x) \) where the \( f \) symbolizes the function, and \( x \) is the input variable. This relationship is established through a set of rules that converts the input into the output. Functions can be represented in multiple ways: through equations, graphs, tables, or sets of ordered pairs like the ones given in the exercise. The representation used in the exercise aligns with the definition of a function, as each input has a single output.
X-values Uniqueness
The unique characteristic of the \( x \) values, or the inputs, is critical in determining whether a set of ordered pairs constitutes a function. This unique feature is often called the x-values uniqueness.A set represents a function only when all the \( x \) values are distinct, meaning no \( x \) value is repeated with a different \( y \) value. In essence, if you have the same \( x \) input associated with multiple \( y \) outputs within a set of ordered pairs, it ceases to function as a mathematical function. The exercise demonstrates a situation where each \( x \) value is paired with exactly one \( y \) value, satisfying the condition for \( x \) values' uniqueness and confirming that the set does indeed represent a function.

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The lengths (in feet) of the winning men's discus throws in the Olympics from 1920 through 2008 are given by the following ordered pairs. $$\begin{aligned} &(1920,146.6) \quad(1956,184.9) \quad(1984,218.5)\\\ &(1924,151.3) \quad(1960,194.2) \quad(1988,225.8)\\\ &(1928,155.3) \quad(1964,200.1) \quad(1992,213.7)\\\ &(1932,162.3) \quad(1968,212.5) \quad(1996,227.7)\\\ &(1936,165.6) \quad(1972,211.3) \quad(2000,227.3)\\\ &\begin{array}{lll} (1948,173.2) & (1976,221.5) & (2004,229.3) \\ (1952,180.5) & (1980,218.7) & (2008,225.8) \end{array} \end{aligned}$$ (a) Sketch a scatter plot of the data. Let \(y\) represent the length of the winning discus throw (in feet) and let \(t=20\) represent 1920 (b) Use a straightedge to sketch the best-fitting line through the points and find an equation of the line. (c) Use the regression feature of a graphing utility to find the least squares regression line that fits the data. (d) Compare the linear model you found in part (b) with the linear model given by the graphing utility in part (c).

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