Math 1+ Semester 1 Comprehensive Study Guide

Chapter 1: Solving Linear Equations

  • 1.1 Solving Simple Equations

    • Goal: The primary objective is to isolate the variable using inverse operations.
    • Inverse Operations: Operations that undo each other.
      • Addition ↔↔ Subtraction
      • Multiplication ↔↔ Division
    • Steps: Undo operations in the reverse order of PEMDAS (Order of Operations).
    • Example: Solve 3x+5=143x + 5 = 14
      • Subtract 5: 3x=93x = 9
      • Divide by 3: x=3x = 3
  • 1.2 Solving Multi-Step Equations

    • Standard Procedure:
      1. Simplify each side: Distribute coefficients and combine like terms.
      2. Move Variables: Use addition or subtraction to collect variable terms on one side of the equation.
      3. Move Constants: Use addition or subtraction to collect constant terms on the other side.
      4. Isolate Variable: Use multiplication or division.
      5. Verification: Always check your solution by substituting it back into the original equation.
    • Example: Solve 2(x+3)−5=112(x + 3) - 5 = 11
      • Distribute: 2x+6−5=112x + 6 - 5 = 11
      • Combine Like Terms: 2x+1=112x + 1 = 11
      • Subtract 1: 2x=102x = 10
      • Divide by 2: x=5x = 5
  • 1.3 Solving Equations with Variables on Both Sides

    • Steps:
      1. Simplify both sides of the equation.
      2. Move variables to one side by collecting like terms.
      3. Move constants to the opposite side.
      4. Solve for the isolated variable.
    • Special Cases:
      • Identity: An equation that is always true for any value, resulting in infinite solutions (e.g., 2x+3=2x+32x + 3 = 2x + 3).
      • Contradiction: An equation that is never true, resulting in no solution (e.g., x+2=x+5x + 2 = x + 5→2=52 = 5).
  • 1.4 Solving Absolute Value Equations

    • Fundamental Rule: The equation ∣x∣=a|x| = a has two solutions if a≥0a \ge 0
      • x=ax = a OR x=−ax = -a
    • Steps:
      1. Isolate the absolute value expression algebraically.
      2. Set up two separate equations (the positive case and the negative case).
      3. Solve both resulting equations.
      4. Check both solutions for validity.
    • Example: Solve ∣2x−1∣=5|2x - 1| = 5
      • Case 1: 2x−1=5→2x=6→x=32x - 1 = 5 \rightarrow 2x = 6 \rightarrow x = 3
      • Case 2: 2x−1=−5→2x=−4→x=−22x - 1 = -5 \rightarrow 2x = -4 \rightarrow x = -2
      • Solutions: x=3x = 3 or x=−2x = -2
    • Condition for No Solution: If isolating the absolute value results in ∣x∣=negative number|x| = \text{negative number}, there is no solution because absolute value represents distance and cannot be negative.
  • 1.5 Rewriting Equations and Formulas

    • Goal: Rearranging a formula to solve for a specific variable of interest.
    • Method: Apply the same algebraic inverse operations used in solving standard equations, treating all other variables as if they were constants.
    • Common Geometric and Physical Formulas:
      • Distance: d=rtd = rt; solve for rr: r=dtr = \frac{d}{t}
      • Area of a Trapezoid: A=12h(b1+b2)A = \frac{1}{2}h(b_1 + b_2); solve for hh: h=2Ab1+b2h = \frac{2A}{b_1 + b_2}
      • Temperature conversion: F=(95)C+32F = (\frac{9}{5})C + 32; solve for CC: C=(59)(F−32)C = (\frac{5}{9})(F - 32)

Chapter 2: Solving Linear Inequalities

  • 2.1 Writing and Graphing Inequalities

    • Inequality Symbols and Graphing Notation:
      • << (less than): Open circle (\u25cb)
      • >> (greater than): Open circle (\u25cb)
      • ≤\le (less than or equal to): Closed circle (\u25cf)
      • ≥\ge (greater than or equal to): Closed circle (\u25cf)
    • Graphing on a Number Line:
      • Use an open circle for strictly less than or greater than.
      • Use a closed circle when the value is included (≤\le or ≥\ge).
      • Shade the number line in the direction that contains the solutions.
    • Key Verbal Phrases:
      • "at most" →≤\rightarrow \le
      • "at least" →≥\rightarrow \ge
      • "no more than" →≤\rightarrow \le
      • "no less than" →≥\rightarrow \ge
  • 2.2 Solving Inequalities Using Addition or Subtraction

    • Principle: Adding or subtracting the same quantity from both sides does not alter the direction of the inequality symbol.
    • Examples:
      • x+3<7→x<4x + 3 < 7 \rightarrow x < 4
      • x−5≥2→x≥7x - 5 \ge 2 \rightarrow x \ge 7
  • 2.3 Solving Inequalities Using Multiplication or Division

    • The Critical Rule: When multiplying or dividing both sides of an inequality by a NEGATIVE number, you must FLIP the direction of the inequality symbol.
    • Examples:
      • 3x<12→x<43x < 12 \rightarrow x < 4 (divided by positive 3, no flip).
      • −2x<10→x>−5-2x < 10 \rightarrow x > -5 (divided by negative 2, FLIP).
      • x−3≥4→x≤−12\frac{x}{-3} \ge 4 \rightarrow x \le -12 (multiplied by negative 3, FLIP).
  • 2.4 Solving Multi-Step Inequalities

    • Procedure: Mirror the steps for equations (Simplify, Collect Variables, Collect Constants, Isolate) while meticulously applying the negative multiplication/division flip rule.
    • Example: Solve 3(x−2)≤2x+53(x - 2) \le 2x + 5
      • Distribute: 3x−6≤2x+53x - 6 \le 2x + 5
      • Subtract 2x: x−6≤5x - 6 \le 5
      • Add 6: x≤11x \le 11
  • 2.5 Solving Compound Inequalities

    • AND (Conjunction): Represents an intersection where both conditions must be satisfied simultaneously.
      • Forms: a<x<ba < x < b or a≤x≤ba \le x \le b
      • Graph: A segment connecting two values.
      • Example: −3<x≤5-3 < x \le 5 indicates xx is between −3-3 and 55, including 55 but not −3-3.
      • Solving: Solve both parts and identify the overlap/intersection.
    • OR (Disjunction): Represents a union where at least one condition must be true.
      • Form: x<a OR x>bx < a \text{ OR } x > b
      • Graph: Two separate rays extending in opposite directions.
      • Example: x<−2 OR x≥4x < -2 \text{ OR } x \ge 4
      • Solving: Solve both separate inequalities and combine the solution sets into a union.
  • 2.6 Solving Absolute Value Inequalities

    • Less Than Case (∣x∣<a|x| < a): Creates an AND compound inequality.
      • ∣x∣<a→−a<x<a|x| < a \rightarrow -a < x < a
      • Example: ∣x−3∣<5→−5<x−3<5→−2<x<8|x - 3| < 5 \rightarrow -5 < x - 3 < 5 \rightarrow -2 < x < 8
    • Greater Than Case (∣x∣>a|x| > a): Creates an OR compound inequality.
      • ∣x∣>a→x<−a OR x>a|x| > a \rightarrow x < -a \text{ OR } x > a
      • Example: ∣x+2∣>4→x+2<−4 OR x+2>4→x<−6 OR x>2|x + 2| > 4 \rightarrow x + 2 < -4 \text{ OR } x + 2 > 4 \rightarrow x < -6 \text{ OR } x > 2

Chapter 3: Graphing Linear Functions

  • 3.1 Functions

    • Definition: A relation where every input (xx) is paired with EXACTLY ONE output (yy).
    • Domain: The complete set of all possible input values (xx-values).
    • Range: The complete set of all possible output values (yy-values).
    • Tests for Functions:
      • Vertical Line Test: If any vertical line intersects a graph in more than one point, the relation is NOT a function.
      • Mapping Diagram: Check ensuring each input originates only one mapping arrow to an output.
    • Types of Functions:
      • Discrete: Represented as distinct, unconnected points.
      • Continuous: Represented as a connected line or curve.
  • 3.2 Linear Functions

    • Definition: A function that possesses a constant rate of change, resulting in a straight-line graph.
    • Equation Form: y=mx+by = mx + b
    • Rate of Change (Slope): Defined as change in ychange in x\frac{\text{change in } y}{\text{change in } x}.
      • Positive Slope: The line rises from left to right.
      • Negative Slope: The line falls from left to right.
      • Zero Slope: A horizontal line.
      • Undefined Slope: A vertical line (Note: Vertical lines are NOT functions).
  • 3.3 Function Notation

    • Notation: f(x)f(x) is read as "function of xx" or refers to the value of "yy".
      • f(x)=2x+3f(x) = 2x + 3 is equivalent to y=2x+3y = 2x + 3
      • f(2)f(2) represents the specific output value when the input x=2x = 2
    • Evaluating Functions: Substitute the given numerical value for every instance of xx in the expression.
      • Example: If f(x)=3x−1f(x) = 3x - 1, then f(4)=3(4)−1=11f(4) = 3(4) - 1 = 11
    • Operational Laws:
      • Addition: (f+g)(x)=f(x)+g(x)(f + g)(x) = f(x) + g(x)
      • Subtraction: (f−g)(x)=f(x)−g(x)(f - g)(x) = f(x) - g(x)
  • 3.4 Graphing Linear Equations in Standard Form

    • Standard Form: Ax+By=CAx + By = C, where A,B,CA, B, C are integers and A≥0A \ge 0
    • Method of Intercepts:
      1. x-intercept: Set y=0y = 0 and solve for xx. Point is (x,0)(x, 0).
      2. y-intercept: Set x=0x = 0 and solve for yy. Point is (0,y)(0, y).
      3. Plot both intercepts and connect them with a straight line.
    • Example: 2x+3y=122x + 3y = 12
      • xx-int: 2x=12→x=6→(6,0)2x = 12 \rightarrow x = 6 \rightarrow (6, 0)
      • yy-int: 3y=12→y=4→(0,4)3y = 12 \rightarrow y = 4 \rightarrow (0, 4)
  • 3.5 Graphing Linear Equations in Slope-Intercept Form

    • Form: y=mx+by = mx + b
      • m=slopem = \text{slope} (rise over run).
      • b=y-interceptb = y\text{-intercept} (point where line crosses the vertical axis).
    • Slope Formula: m=y2−y1x2−x1=riserunm = \frac{y_2 - y_1}{x_2 - x_1} = \frac{\text{rise}}{\text{run}}
    • Graphing Procedure:
      1. Initial point: Plot the yy-intercept at (0,b)(0, b).
      2. Next point: Use the slope (rise/run) to navigate from the yy-intercept to a second point.
      3. Draw the line extending through both points.
    • Example: y=2x−3y = 2x - 3
      • yy-int: (0,−3)(0, -3)
      • Slope: 2=212 = \frac{2}{1} (rise 2, run 1).
      • Second point calculated: (−3+2,0+1)=(−1,1)(-3 + 2, 0 + 1) = (-1, 1).

Chapter 4: Writing Linear Functions

  • 4.1 Writing Equations in Slope-Intercept Form

    • Scenario 1: Given Slope (mm) and y-intercept (bb)
      • Plug directly into y=mx+by = mx + b.
      • Example: m=3,b=−2→y=3x−2m = 3, b = -2 \rightarrow y = 3x - 2
    • Scenario 2: Given Slope (mm) and one point (x1,y1x_1, y_1)
      1. Substitute m,x1,m, x_1, and y1y_1 into y=mx+by = mx + b.
      2. Solve for the unknown value bb.
      3. State the final equation using both mm and bb.
    • Scenario 3: Given Two Points (x1,y1x_1, y_1) and (x2,y2x_2, y_2)
      1. Calculate slope: m=y2−y1x2−x1m = \frac{y_2 - y_1}{x_2 - x_1}
      2. Use the calculated slope and one of the points to determine bb.
      3. Construct the equation.
  • 4.2 Writing Equations in Point-Slope Form

    • Form: y−y1=m(x−x1)y - y_1 = m(x - x_1)
    • Application: Best used when the slope and any single point (x1,y1)(x_1, y_1) are known.
    • Steps:
      1. Determine mm and identify the point (x1,y1)(x_1, y_1).
      2. Substitute values into the formula.
      3. Optional: Isolate yy to convert to slope-intercept form.
    • Example: Slope = 2, Point (3, 5)
      • y−5=2(x−3)→y−5=2x−6→y=2x−1y - 5 = 2(x - 3) \rightarrow y - 5 = 2x - 6 \rightarrow y = 2x - 1
  • 4.3 Writing Equations of Parallel and Perpendicular Lines

    • Parallel Lines:
      • Have identical slopes (m1=m2m_1 = m_2).
      • Are always equidistance and never intersect.
      • Example: y=2x+1y = 2x + 1 and y=2x−5y = 2x - 5
    • Perpendicular Lines:
      • Slopes are negative reciprocals (m1×m2=−1m_1 \times m_2 = -1).
      • They intersect at a exact 90∘90^\circ angle.
      • Example: y=2x+1y = 2x + 1 and y=−12x+3y = -\frac{1}{2}x + 3
    • Equations Steps:
      1. Parallel: Keep the source slope, calculate a new intercept (bb) using the target point.
      2. Perpendicular: Invert and negate the source slope, then solve for the target intercept (bb).
    • Special Horizontal/Vertical Cases:
      • Horizontal lines (y=ky = k): Slope is 0.
      • Vertical lines (x=hx = h): Slope is undefined.
      • Horizontal and vertical lines always meet perpendicularly.
  • 4.4 Scatter Plots and Lines of Fit

    • Scatter Plot: A graphical display mapping the relationship between two numerical variables.
    • Correlation Types:
      • Positive: yy increases as xx increases (upward trend).
      • Negative: yy decreases as xx increases (downward trend).
      • None: The points exhibit no discernible linear pattern.
    • Line of Fit: A modeled line used to represent data trends.
      • Must pass close to the majority of points.
      • Should have roughly equal distribution of points above and below the line.
    • Prediction Terminology:
      • Interpolation: Predicting values within the existing range of data points.
      • Extrapolation: Predicting values outside the established data range (considered less reliable).
  • 4.5 Analyzing Lines of Fit

    • Residuals: The vertical gap between an observed data point and the modeled line of fit.
      • Residual=actual y-value−predicted y-value\text{Residual} = \text{actual } y\text{-value} - \text{predicted } y\text{-value}
      • Positive: Point resides above the line.
      • Negative: Point resides below the line.
    • Residual Plot: A diagnostic tool plotting residuals on a graph.
      • Random scatter: Indicates the linear model is a good fit.
      • Specific Pattern: Suggests the linear model is inappropriate for the data.
    • Correlation Coefficient (rr): Defines the strength and direction of the linear relationship.
      • Range: −1≤r≤1-1 \le r \le 1
      • r≈1r \approx 1: Strong positive correlation.
      • r≈−1r \approx -1: Strong negative correlation.
      • r≈0r \approx 0: Minimal or no linear correlation.
  • 4.6 Arithmetic Sequences

    • Definition: A numerical sequence where the difference between successive terms is a constant value.
    • Common Difference (dd): d=an−an−1d = a_n - a_{n-1}
    • Explicit Formula: an=a1+(n−1)da_n = a_1 + (n - 1)d
      • a1a_1: The first term of the sequence.
      • nn: The position/number of the term.
      • dd: Common difference.
    • Example: Sequence 3, 7, 11, 15…
      • d=4;a1=3d = 4; a_1 = 3
      • Formula: an=3+(n−1)(4)=4n−1a_n = 3 + (n - 1)(4) = 4n - 1
    • Recursive Formula: an=an−1+da_n = a_{n-1} + d (must specify the initial term a1a_1).

Chapter 5: Solving Systems of Linear Equations

  • 5.1 Solving Systems by Graphing

    • System of Equations: A set of two or more equations featuring identical variables.
    • Solution: An ordered pair (x,y)(x, y) that makes every equation in the system true simultaneously; visualized as the point of intersection.
    • Types of Solution Sets:
      1. One Solution: Slopes are different; lines cross at exactly one coordinate.
      2. No Solution: Slopes are identical but yy-intercepts differ; lines are parallel and never meet.
      3. Infinite Solutions: Equations are equivalent; lines are identical and overlap everywhere.
  • 5.2 Solving Systems by Substitution

    • Best Use: When one equation is already isolated for a variable (e.g., y=...y = ...) or contains a variable with a coefficient of 1.
    • Step-by-Step:
      1. Solve one equation for a selected variable.
      2. Plug the resulting expression into the second equation for that variable.
      3. Solve the resulting single-variable equation.
      4. Substitute the found value back to find the value of the other variable.
    • Example:
      • y=2x+1y = 2x + 1
      • 3x+y=113x + y = 11
      • Substitute: 3x+(2x+1)=11→5x+1=11→5x=10→x=23x + (2x + 1) = 11 \rightarrow 5x + 1 = 11 \rightarrow 5x = 10 \rightarrow x = 2
      • Back-sub: y=2(2)+1=5y = 2(2) + 1 = 5
      • Solution: (2,5)(2, 5)
  • 5.3 Solving Systems by Elimination

    • Best Use: When terms are already lined up vertically and coefficients can be easily matched as opposites.
    • Steps:
      1. Align like terms in vertical columns.
      2. Multiply equations by constants so that the coefficients of one variable are additive opposites (e.g., 5x5x and −5x-5x).
      3. Add the equations to eliminate that variable.
      4. Solve for the remaining variable.
      5. Substitute found value to determine the final variable.
    • Example:
      • 2x+3y=82x + 3y = 8
      • 3x−3y=73x - 3y = 7
      • Add: 5x=15→x=35x = 15 \rightarrow x = 3
      • Back-sub: 2(3)+3y=8→6+3y=8→3y=2→y=232(3) + 3y = 8 \rightarrow 6 + 3y = 8 \rightarrow 3y = 2 \rightarrow y = \frac{2}{3}
      • Solution: (3,23)(3, \frac{2}{3})
  • 5.4 Solving Special Systems

    • No Solution (Inconsistent): Algebraically results in a false statement like 0=50 = 5.
    • Infinite Solutions (Dependent): Algebraically results in an identity like 0=00 = 0 or x=xx = x.
    • Standard Form Analysis (Ax+By=CAx + By = C):
      • If the ratio of A1/B1=A2/B2A_1/B_1 = A_2/B_2 but involves different CC values, there is no solution.
      • If all ratios (A1/B1A_1/B_1 and C1/C2C_1/C_2) are the same, there are infinite solutions.
  • 5.5 Solving Equations by Graphing

    • Technique 1 (Roots Method): Set the entire equation to equal zero. Graph the function y=expressiony = \text{expression}. The solutions are the xx-intercepts.
    • Technique 2 (System Method): Graph each side of the equation (y=left sidey = \text{left side} and y=right sidey = \text{right side}) as separate functions. The solutions are the xx-coordinates of the intersection points.
  • 5.6 Graphing Linear Inequalities in Two Variables

    • Boundary Lines:
      • Dashed: Used for strictly << or >> (points on line are not solutions).
      • Solid: Used for ≤\le or ≥\ge (points on line are solutions).
    • Shading:
      1. Select a test point not on the line (typically (0,0)(0,0)).
      2. Evaluate the inequality with the test point.
      3. Shade the region containing the point if it is true; otherwise, shade the opposite side.
  • 5.7 Systems of Linear Inequalities and Linear Programming

    • System Solution: The region where all individual shaded regions overlap.
    • Linear Programming Goal: To maximize or minimize a specific quantity (the objective function) within a bounded set of constraints (the feasible region).
    • Components:
      • Variables: xx and yy (the decision factors).
      • Objective Function: C=ax+byC = ax + by
      • Constraints: Inequalities defining the limits of the variables.
      • Feasible Region: The polygon area formed by the overlap of constraint inequalities.
    • Optimization Rules: The maximum and minimum values typically occur at the vertices (corner points) of the feasible region.
    • Example Optimization: Maximize P=3x+2yP = 3x + 2y given x≥0,y≥0,2x+y≤10,x+2y≤8x \ge 0, y \ge 0, 2x + y \le 10, x + 2y \le 8.

Chapter 6: Exponential Functions and Sequences

  • 6.1 Exponential Functions

    • General Form: y=abxy = ab^x (where a≠0,b>0,b≠1a \ne 0, b > 0, b \ne 1)
      • aa: Initial amount/value (corresponding to the yy-intercept).
      • bb: Base (the factor of growth or decay).
      • xx: Exponent.
    • Growth vs. Decay:
      • Growth: b>1b > 1. The graph curves upward infinitely.
      • Decay: 0<b<10 < b < 1. The graph curves downward towards the asymptote.
    • Key Attributes:
      • Domain: All real numbers.
      • Range: y>0y > 0 (if a>0a > 0) or y<0y < 0 (if a<0a < 0).
      • Asymptote: A horizontal line that the graph approaches but never touches (base case: y=0y = 0).
  • 6.2 Exponential Growth and Decay Models

    • Growth: y=a(1+r)ty = a(1 + r)^t (1+r1+r is the growth factor).
    • Decay: y=a(1−r)ty = a(1 - r)^t (1−r1-r is the decay factor).
    • Compound Interest: A=P(1+rn)ntA = P(1 + \frac{r}{n})^{nt}
      • PP: Principal (initial balance).
      • rr: Annual interest rate (must be a decimal).
      • nn: Number of compoundings per year (e.g., quarterly n=4n=4, monthly n=12n=12).
      • tt: Time in years.
    • Example Calculation: $1000 principal at 5% interest compounded quarterly for 3 years.
      • A=1000(1+0.054)4×3=1000(1.0125)12≈$1160.75A = 1000(1 + \frac{0.05}{4})^{4 \times 3} = 1000(1.0125)^{12} \approx \$1160.75
    • Half-Life / Doubling Time: The time required for a specific quantity to either reduce to half its size or increase to twice its original value.
  • 6.3 Comparing Linear and Exponential Functions

    • Linear: Characterized by adding the same amount (constant first differences).
    • Exponential: Characterized by multiplying by the same amount (constant ratio between outputs).
    • Table Identification: Equal xx-intervals that lead to equal ratios in yy identify an exponential function.
  • 6.4 Solving Exponential Equations

    • Same Base Method: If bx=byb^x = b^y, then it implies x=yx = y.
    • Steps:
      1. Rewrite both sides to have an identical numerical base.
      2. Set the resulting exponents equal to each other.
      3. Solve the remaining equation.
    • Example: Solve 4x+1=164^{x+1} = 16
      • 16=24,4=2216 = 2^4, 4 = 2^2
      • (22)x+1=24→22x+2=24(2^2)^{x+1} = 2^4 \rightarrow 2^{2x+2} = 2^4
      • 2x+2=4→x=12x + 2 = 4 \rightarrow x = 1
  • 6.5 Geometric Sequences

    • Definition: A sequence where each term is the product of the previous term and a common ratio (rr).
    • Common Ratio Calculation: r=anan−1r = \frac{a_n}{a_{n-1}}
    • Explicit Formula: an=a1⋅rn−1a_n = a_1 \cdot r^{n-1}
    • Example: 2, 6, 18, 54…
      • r=3;a1=2r = 3; a_1 = 2
      • an=2⋅3n−1a_n = 2 \cdot 3^{n-1}
  • 6.6 Recursively Defined Sequences and Transformations

    • Recursive Rules: Define the current term based on the preceding term (e.g., Fibonacci: an=an−1+an−2a_n = a_{n-1} + a_{n-2}).
    • Transformations of Exponential Functions (g(x)=a⋅bx−h+kg(x) = a \cdot b^{x-h} + k):
      • aa: Vertical stretch (if ∣a∣>1|a| > 1) or shrink (if 0<∣a∣<10 < |a| < 1). Negative reflections over xx-axis.
      • hh: Horizontal shift (Right if positive, Left if negative).
      • kk: Vertical shift; shifts the asymptote to the line y=ky = k.

Chapter 7: Statistics & Data Analysis

  • 7.1 Measures of Center and Variation

    • Measures of Center:
      1. Mean (xˉ\bar{x}): The arithmetic average (Sum divided by count). Use for symmetric data; highly sensitive to outliers.
      2. Median: The middle value of an ordered set. Use for skewed data; resistant to outliers.
      3. Mode: Most frequent element. Best for categorical data.
    • Measures of Variation:
      1. Range: Max - Min.
      2. Interquartile Range (IQR): Q3−Q1Q_3 - Q_1. Represents the middle 50% of data.
      3. Standard Deviation (σ\sigma): Represents average distance from the mean.
        • Formula: σ=∑(x−xˉ)2n\sigma = \sqrt{\frac{\sum(x - \bar{x})^2}{n}}
        • Steps: 1. Find Mean. 2. Subtract Mean from each value. 3. Square differences. 4. Sum squares. 5. Divide by count. 6. Square root results.
  • 7.2 Box-and-Whisker Plots

    • Five-Number Summary: Minimum, First Quartile (Q1Q_1), Median (Q2Q_2), Third Quartile (Q3Q_3), and Maximum.
    • Outlier Calculation: Values less than Q1−1.5(IQR)Q_1 - 1.5(IQR) or greater than Q3+1.5(IQR)Q_3 + 1.5(IQR).
  • 7.3 Shapes of Distributions

    • Symmetric: Mean ≈\approx Median ≈\approx Mode; mirror image.
    • Skewed Left: Tail is longer on the left; Mean << Median.
    • Skewed Right: Tail is longer on the right; Mean >> Median.
  • 7.4 Two-Way Tables

    • Joint Frequency: Values within the interior cells representing specific categories.
    • Marginal Frequency: Totals found along the outer row/column.
    • Relative Frequency: Frequency/Total\text{Frequency} / \text{Total}.
    • Conditional Relative Frequency: Ratio comparing a cell value to the specific row or column total.

Chapter 8: Basics of Geometry

  • 8.1 Undefined and Defined Terms

    • Point: Zero dimensions, no size.
    • Line: One dimension, infinite in length.
    • Plane: Two dimensions, infinite flat surface.
    • Segment: Finite part of a line with two endpoints.
    • Collinear: Points residing on the same line.
    • Coplanar: Points residing on the same plane.
  • 8.2 Measuring and Constructing Segments

    • Distance AB: ∣x2−x1∣|x_2 - x_1|
    • Segment Addition Postulate: If point B lies between A and C, then AB+BC=ACAB + BC = AC.
  • 8.3 Midpoint and Distance Formulas

    • Midpoint Formula: M=(x1+x22,y1+y22)M = (\frac{x_1 + x_2}{2}, \frac{y_1 + y_2}{2})
    • Distance Formula: d=(x2−x1)2+(y2−y1)2d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2}
  • 8.4 Perimeter and Area

    • Triangle: Area = 12bh\frac{1}{2}bh
    • Rectangle: Area = ℓw\ell w
    • Polygons: Tri (3), Quad (4), Pent (5), Hex (6), Oct (8).
  • 8.5 Measuring and Constructing Angles

    • Angle Addition Postulate: The sum of adjacent partial angles equals the total angle.
    • Types: Acute (<90∘< 90^\circ), Right (90∘90^\circ), Obtuse (>90∘,<180∘> 90^\circ, < 180^\circ), Straight (180∘180^\circ).
  • 8.6 Pairs of Angles

    • Complementary: Add to 90∘90^\circ.
    • Supplementary: Add to 180∘180^\circ.
    • Vertical Angles: Congruent angles directly opposite across an intersection.
    • Linear Pair: Adjacent supplementary angles forming a straight line.

Chapter 9: Reasoning and Proofs

  • 9.1 Conditional Statements

    • Logic Structure: "If p, then q" (p→qp \rightarrow q).
    • Truth Table: True except when pp is true and qq is false.
    • Related Statements:
      • Converse: q→pq \rightarrow p
      • Inverse: ∼p→∼q\sim p \rightarrow \sim q
      • Contrapositive: ∼q→∼p\sim q \rightarrow \sim p (Logically equivalent to original conditional).
    • Biconditional: "p if and only if q"; true when conditional and converse are both true.
  • 9.2 Reasoning Types and Laws

    • Inductive Reasoning: Observing patterns and making a conjecture (Specific →\rightarrow General).
    • Deductive Reasoning: Starting with facts/rules to prove a specific case (General →\rightarrow Specific).
    • Law of Detachment: If p→qp \rightarrow q is true and pp is provided as true, therefore qq must be true.
    • Law of Syllogism: If p→qp \rightarrow q and q→rq \rightarrow r, then p→rp \rightarrow r.
  • 9.3 Postulates and Diagrams

    • Key Assumptions: Through any two points is exactly one line; through three noncollinear points is exactly one plane.
    • Assumptions Avoidance: Never assume segments are congruent, angles are right, or lines are parallel from a diagram unless symbols are present.
  • 9.4 Properties of Equality

    • Reflexive: a=aa = a
    • Symmetric: If a=ba = b, then b=ab = a
    • Transitive: If a=ba = b and b=cb = c, then a=ca = c
    • Addition/Subtraction: Adding/subtracting same value to both sides.

Chapter 10: Parallel and Perpendicular Lines

  • 10.1 Angle Pairs

    • Corresponding Angles: Same relative position.
    • Alternate Interior: Between the lines, opposite sides of the transversal.
    • Consecutive Interior: Between the lines, same side of transversal (supplementary if lines are parallel).
  • 10.5 Slopes and Coordinate Geometry

    • Parallel Slopes: Equal (m1=m2m_1 = m_2).
    • Perpendicular Slopes: Negative reciprocals (m1×m2=−1m_1 \times m_2 = -1).
    • Distance from Point to Line: Find the perpendicular line through the point, locate the intersection, and apply distance formula.