IM Alg1.4.10 Practice: Domain and Range (Part 1)

[size=150]The cost for an upcoming field trip is $30 per student. The cost of the field trip [math]C[/math], in dollars, is a function of the number of students [math]x[/math].[/size][br]Select [b]all [/b]the possible outputs for the function defined by [math]C\left(x\right)=30x[/math].
[size=150]A rectangle has an area of 24 cm². Function [math]f[/math] gives the length of the rectangle, in centimeters, when the width is [math]w[/math] cm.[br][/size][br]Determine if [math]3[/math], in centimeters, is a possible input of the function. 
Determine if [math]0.5[/math], in centimeters, is a possible input of the function. 
Determine if [math]48[/math], in centimeters, is a possible input of the function. [br]
Determine if [math]\text{-}6[/math], in centimeters, is a possible input of the function. [br]
Determine if [math]0[/math], in centimeters, is a possible input of the function. 
Select [b]all [/b]the possible input-output pairs for the function [math]y=x^3[/math].
A small bus charges $3.50 per person for a ride from the train station to a concert. The bus will run if at least 3 people take it, and it cannot fit more than 10 people.
[size=150]Function [math]B[/math] gives the amount of money that the bus operator earns when [math]n[/math] people ride the bus.[/size][br][br]Identify all numbers that make sense as inputs and outputs for this function.[br]
Sketch a graph of B.
[size=150]Two functions are defined by the equations [math]f(x)=5-0.2x[/math] and[math]g(x)=0.2(x+5)[/math]. [/size][br][br]Select [b]all [/b]statements that are true about the functions.
Match each feature of the graph with the corresponding coordinate point. If the feature does not exist, choose “none”.
The graphs show the audience, in millions, of two TV shows as a function of the episode number.
[table][tr][td]Show A[/td][td]Show C[/td][/tr][tr][td][img]data:image/png;base64,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[/img][/td][/tr][/table][br]For each show, pick two episode numbers between which the function has a negative average rate of change, if possible. Estimate the average rate of change, or explain why it is not possible.
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Information: IM Alg1.4.10 Practice: Domain and Range (Part 1)