Comprehensive Study Guide: Linear Functions, Arithmetic Sequences, Domain and Range, and Scattergpuw. Plots
Linear Functions and Function Notation
Overview of Function Notation
Linear equations can be written in function notation by replacing the dependent variable with , read as " of ".
Function notation explicitly identifies oni I’m as the independent variable (input) and as the dependent variable (output).
Converting Linear Equations to Function Notation
Problem 1: Rewrite in function notation.
Expression:
Problem 2: Rewrite in function notation.
Step 1: Isolate the -term:
Step 2: Divide all terms by :
Step 3: Replace with :
Evaluating Linear Functions
Given the function :
Finding :
Substitute into the function:
Simplify:
Finding when :
Set the function output to :
Subtract from both sides:
Divide by :
Intercepts, Zeros, and Solutions of Linear Functions
Definitions and Terminology
-Intercept: The point where a graph crosses or touches the -axis. At this point, the -value is always zero ().
Alternative Names for -Intercepts:
Solutions
Roots
Zeros
-Intercept: The point where a graph crosses or touches the -axis. At this point, the -value is always zero ().

Procedures for Finding Intercepts
To find the -intercept: Set (or ) equal to zero () and solve the resulting equation for .
To find the -intercept: Set equal to zero () and evaluate the function for (or ).
Algebraic Calculation Examples
Function 1:
-intercept: Set . Ordered pair: .
-intercept: Set . Ordered pair: .
Function 2:
-intercept: Set . Ordered pair: .
-intercept: Set . Ordered pair: .
Function 3:
-intercept: Set . Ordered pair: .
-intercept: Set . Ordered pair: .
Graphing Functions and Determining Zeros
Function:
Zero calculation: Set .
Zero of the equation:
Function:
Zero calculation: Set .
Zero of the equation:
Function:
Zero calculation: Set .
Zero of the equation:
Domain and Range of Discrete and Continuous Relations
Discrete Domain and Range
Definition: Discrete data consists of disconnected, individual points (such as ordered pairs, lists, tables, or scattered points on a graph).
Domain: The set of all -values (inputs). Listed from least to greatest inside curly braces , with duplicate values omitted.
Range: The set of all -values (outputs). Listed from least to greatest inside curly braces , with duplicate values omitted.
Discrete Examples and Practice Problems
Mapping Diagram Example:
Inputs ():
Outputs (): Arrows point from , , , ,
Is it a function? Yes, because every input maps to exactly one output .
Domain:
Range:
Table Example 1:
Values: ,
Domain:
Range:
Table Example 2:
Values: ,
Domain:
Range:
Ordered Pairs Example 1:
Domain:
Range:
Ordered Pairs Example 2:
Is it a function? No, because the input maps to two different outputs ( and ).
Domain:
Range:
Scatter Graph of Discrete Points:
Plotted points: , , , , ,
Is it a function? No, because inputs and each map to multiple outputs.
Domain:
Range:
Discrete Word Problem (Pumpkin Patch):
Riley picks to pumpkins. Cost function: , where is the number of pumpkins picked and is total cost.
Evaluation:
For :
For :
For :
Domain:
Range:
Continuous Domain and Range
Definition: Continuous data consists of connected lines, curves, or rays that encompass all real values within specified boundaries.
Reading Continuous Graphs:
Domain: Read the graph from left to right to identify the lowest and highest --values used.
Range: Read the graph from bottom to top to identify the lowest and highest --values used.
Notations for Continuous Data:
Inequality Notation: Uses inequality symbols ().
Open circles () use strict inequalities ( or ).
Closed circles () use non-strict inequalities ( or ).
Interval Notation: Uses brackets and parentheses to define numerical intervals.
Parentheses
( )are used for open circles () and for infinite boundaries ( or ).Square brackets
[ ]are used for closed circles ().Format:
[least value, greatest value]
Continuous Examples and Practice Problems
Problem 1 (Line Segment):
Closed circle at and open circle at .
Domain (Inequality):
Domain (Interval Notation):
Range (Inequality):
Range (Interval Notation):
Problem 2 (Ray Extending Left and Down):
Closed endpoint at extending infinitely left towards and down towards .
Domain (Inequality):
Domain (Interval Notation):
Range (Inequality):
Range (Interval Notation):
Problem 3 (Bounded Curve):
Closed boundaries from to and to
Domain (Inequality):
Domain (Interval Notation):
Range (Inequality):
Range (Interval Notation):
Problem 4 (Ray Extending Up and Right):
Closed endpoint at extending infinitely right () and up ().
Domain (Inequality):
Domain (Interval Notation):
Range (Inequality):
Range (Interval Notation):
Problem 5 (Vertical Line):
Vertical line passing through , extending infinitely in both vertical directions.
Domain (Inequality):
Domain (Interval Notation): or
Range (Inequality): All real numbers ()
Range (Interval Notation):
Problem 6 (Symmetrical Bounded Region):
Region bounded between and , and and
Domain (Inequality):
Domain (Interval Notation):
Range (Inequality):
Range (Interval Notation):
Problem 7 (Continuous Ray starting at ):
Starts at passing through , , into quadrant I.
Is it a function? Yes, passes the vertical line test.
Domain: or
Range: or
Arithmetic Sequences
Core Concepts and Definitions
Arithmetic Sequence: A sequence of numbers in which the common difference, , between any two consecutive terms is constant.
Common Difference (): The constant value added to or subtracted from each term to get the next term ().
Subscript Notation vs. Function Notation
Subscript Notation ():
represents the term value.
represents the term number/position ().
Example Sequence (): , , .
Function Notation ():
represents the term value.
represents the term number/position.
Example Sequence (): , , .
Identifying Arithmetic Sequences
Sequence : No (differences are ; not constant).
Sequence : Yes, common difference
Sequence : Yes, common difference
Extending Sequences (Finding Next Three Terms)
Sequence : Common difference . Next three terms:
Sequence : Common difference . Next three terms:
Sequence : Common difference . Next three terms:
Explicit Formulas for Arithmetic Sequences
Definition: An explicit formula allows finding any term () in a sequence directly without calculating previous terms. Inputting the term position outputs the term value.
General Explicit Formula:
= term
= first term
= term number/position
= common difference
Explicit Formula Practice Problems:
Problem 1: Given sequence
Identify parameters: ,
Formula derivation:
Simplified explicit formula:
Find the term ():
Problem 2: Given sequence
Table values:
Identify parameters: ,
Formula derivation:
Simplified explicit formula:
Find the term ():
Problem 3: Given sequence
Identify parameters: ,
Formula derivation: (or relative to indexing)
Simplified explicit formula:
Find the term ():
Problem 4: Given sequence
Identify parameters: ,
Simplified explicit formula:
Find the term ():
Problem 5 (Sticker Collection Word Problem):
Dwas
Problem 6 (Converting Recursive to Explicit):
Recursive formula given: ,
Simplified explicit formula:
Find the term ():
Recursive Formulas for Arithmetic Sequences
Definition: A recursive formula defines each term of a sequence using the previous term ( or ) along with the common difference (). A recursive formula must always state the initial term ( or ).
General Form:
Subscript notation: , with given
Function notation: , with given
Recursive Formula Practice Problems:
Problem 1: Given recursive formula with .
First term:
Second term:
Third term:
Fourth term:
First four terms:
Problem 2: Given recursive formula with .
First term:
Second term:
Third term:
Fourth term:
First four terms:
Problem 3: Write a recursive formula in subscript notation for
Identify parameters: ,
Recursive formula: ;
Problem 4: Write a recursive formula in subscript notation for
Identify parameters: ,
Recursive formula: ;
Scatter Plots, Correlation, and Causation
Scatter Plots and Types of Correlation
Scatter Plot: A graph in a coordinate plane in which two sets of numerical data are plotted as ordered pairs .
Correlation (Association): The relationship between two variables or events. It can be described by its strength (strong, weak, or none) and direction (positive or negative).
Positive Correlation: As increases, increases.
Negative Correlation: As increases, decreases.
No Correlation: and have no observable linear relationship.
Fundamental Rule: CORRELATION DOES NOT IMPLY CAUSATION.
Scatter Plot Analysis Examples
Example 1: Exercise and Calories Burned
Graph variables: Time in minutes () vs. Calories Burned ()
* Correlation type: **Positive**
* Meaning in situation: As the amount of exercise time increases, the number of calories burned increases.
Example 2: Library Fines and Books Borrowed
Graph variables: Books Borrowed () vs. Library Fine in dollars ()
* Correlation type: **No correlation**
* Meaning in situation: The number of books borrowed does not relate to the size of the library fine.
Example 3: Weight-Lifting
Graph variables: Weight in pounds () vs. Repetitions ()
* Correlation type: **Negative**
* Meaning in situation: The heavier the weight lifted, the fewer repetitions a person can complete.
Example 4: Car Dealership Revenue
Graph variables: Year '99 to '08 () vs. Revenue ()
* Correlation type: **Positive**
* Meaning in situation: Over time, as years progress, more revenue is made.
Correlation vs. Causation Analysis
Causation: A direct relationship between two events where one event directly causes or produces the other event.
Scenario 1: Exercise and Calories Burned per Minute
Relationship: Causation (Positive)
Explanation: Exercising directly causes the body to expend energy and burn calories.
Scenario 2: Christmas Tree Sales and Employee Sick Days
Relationship: Correlation (Positive)
Explanation: Selling Christmas trees does not cause employees to become sick. Cold winter weather in December independently causes both an increase in tree sales and an increase in winter illnesses.
Scenario 3: Outside Temperature and Hot Chocolate Sales
Relationship: Causation (Negative)
Explanation: As the outside temperature decreases, the cold weather directly causes people to buy warm drinks like hot chocolate.
Scenario 4: Time Spent Watching TV and School Grades
Relationship: Correlation (Negative)
Explanation: Watching TV itself does not directly alter grades, but increased TV time decreases study time, which leads to declining school performance.
Scenario 5: Ice Cream Sales and Sunglasses Sales
Relationship: Correlation (Positive)
Explanation: Buying ice cream does not cause people to buy sunglasses. Warm, sunny weather independently causes higher demand for both items.
Scenario 6: Hot Chocolate Sales and Heating Bills
Relationship: Correlation (Positive)
Explanation: Buying hot chocolate does not cause heating bills to rise. Cold weather independently causes both hot chocolate consumption and increased heating system usage.
Scenario 7: Ice Cream Sales and Electric/Cooling Bills
Case Study: A study revealed a positive correlation between ice cream sales and cooling bills. Kayla claims this means ice cream sales cause electric bills to increase.
Agreement: Disagree
Explanation: While a positive correlation exists, eating ice cream does not increase electricity usage. Hot summer weather causes people to run air conditioning units higher and also eat more ice cream.