Semester Review Math Vocabulary

Unit 1: Equations and Operations

  • Algebraic Equation: An equation in which at least one variable is used.
  • Inverse Operations: Opposite operations. Inverse operations undo each other.
  • Isolate the Variable: To get the variable alone on one side of an equation or inequality in order to solve the equation or inequality.
  • Inequality: A mathematical sentence that compares two or more expressions by using an inequality symbol.
        - Example: The inequality 4x - 5 > 11 states that the expression 4x54x - 5 is greater than 1111.
  • Solution of an Inequality: The set of values that can be substituted for a variable to make an inequality true.
        - Example: For the inequality x + 2 > 6, the solution is x > 4.

Unit 2: Order of Operations, Angles, and Geometric Principles

  • Order of Operations: The order in which math operations should be performed to solve a problem. The standard order of operations is:
        1. Grouping symbols
        2. Exponents
        3. Multiplication and division (from left to right)
        4. Addition and subtraction (from left to right)
  • Scale Drawing: A drawing that represents a real object. The scale factor gives the ratio of the lengths in the scale drawing to the lengths in the real object.
  • Scale Factor: A factor that gives the ratio of a side length in a scale drawing to the matching side length in the real object.
  • Acute Angle: An angle that measures less than 9090^\circ. An acute angle is smaller than a right angle.
  • Angle: An object formed by two rays that share an endpoint. The endpoint is called the vertex.
  • Vertex: The point where rays or line segments meet to form an angle. The plural of vertex is vertices.
  • Obtuse Angle: An angle that measures greater than 9090^\circ but less than 180180^\circ.
  • Protractor: A tool used to measure angles; usually marked in degrees.
  • Right Angle: An angle that measures 9090^\circ. Right angles are often marked with a small square symbol.
  • Right Triangle: A triangle that contains a right angle.
  • Cross-section: The figure that results when a plane is passed through a solid.
  • Plane: A flat surface that extends forever in all directions. A plane has no thickness, so it has only two dimensions. A plane is like an infinitely large piece of drawing paper.

Unit 3: Three-Dimensional Figures, Geometry of Circles, and Angle Relationships

  • Right Rectangular Prism: A three-dimensional solid consisting of two parallel and congruent rectangular bases and all the points in between them.
  • Right Rectangular Pyramid: A three-dimensional solid consisting of a rectangular base, a vertex that is perpendicular to the base, and all the points in between them.
  • Solid: An object that has three dimensions: length, width, and height. A solid may also be called a three-dimensional figure or a solid figure.
  • Area: The size of a surface. Area is measured in square units.
        - Example: The area of a rectangle with length ll and width ww is given by the formula A=l×wA = l \times w.
  • Center: The point at the exact center of the circle. All points on a circle are the same distance from the center.
  • Circle: A closed curve in one plane with all its points the same distance from the center.
  • Circumference: The measure of the distance around the perimeter of a circle. Circumference is measured in linear units.
  • Diameter: A line segment that passes through the center of a circle and has endpoints on the circle. The length of a diameter of a circle is equal to twice the length of a radius of the circle.
  • Pi: The ratio of the circumference of any circle to its diameter. This number is represented by the Greek letter π\pi. It is approximately equal to 3.143.14.
  • Radius: A line segment that goes from the center of a circle to any point on the circle. The length of a radius of a circle is equal to 12\frac{1}{2} the length of a diameter of the circle.
  • Adjacent Angles: Angles that share a vertex and one side. Adjacent angles are "next to" each other.
  • Complementary Angles: Two angles whose measures add up to 9090^\circ. If two complementary angles are adjacent, they form a right angle.
  • Congruent: Having the same size and shape. If two polygons are congruent, their corresponding sides and angles are also congruent. The symbol \cong means "is congruent to."
  • Linear Pair: A pair of adjacent angles whose measures add up to 180180^\circ. Linear pairs of angles are supplementary.
  • Straight Angle: An angle that has a measure of 180180^\circ and whose sides form a line.
  • Supplementary Angles: Angles whose measures add up to 180180^\circ. If two supplementary angles are adjacent, they form a straight angle.
  • Vertical Angles: A pair of opposite angles formed by intersecting lines. Vertical angles are congruent.
  • Composite Figure: A figure made up of two or more simpler shapes.
  • Parallelogram: A four-sided figure in which both pairs of opposite sides are parallel and equal.
  • Trapezoid: A four-sided figure with exactly one pair of parallel sides.
  • Lateral Surface Area: The sum of the areas of the faces on a solid figure, excluding bases.
  • Net: A two-dimensional drawing that can be folded up to make a solid. The net shows all of the flattened surfaces of the solid.
  • Prism: A three-dimensional solid consisting of two parallel congruent polygons and all the points between them.
  • Triangular Prism: A three-dimensional solid whose bases are triangles and whose other surfaces are rectangles.
  • Rectangular Prism: A three-dimensional solid consisting of two parallel congruent rectangles and all the points between them.
  • Surface Area: The total area of the exterior surface of a solid figure.

Unit 4: Data Analysis and Statistics

  • Inference: A conclusion drawn by using sample data to make predictions about a larger population.
  • Mean: The sum of all of the values in a data set divided by the number of values. The mean is also called the average.
        - Example: To find the mean of 8,9,10, and 208, 9, 10, \text{ and } 20, add 8+9+10+20=478 + 9 + 10 + 20 = 47. Then divide by 44: 474=11.75\frac{47}{4} = 11.75. The mean is 11.7511.75.
  • Mean Absolute Deviation (MAD): The average distance between each data value and the mean.
        - Example: To find the mean absolute deviation for 6,8,12, and 146, 8, 12, \text{ and } 14:
            - 1. Find the mean: 1010.
            - 2. Find the distance of each point from the mean: 4,2,2, and 44, 2, 2, \text{ and } 4.
            - 3. Find the average of these distances: 124=3\frac{12}{4} = 3. The mean absolute deviation is 33.
  • Population: The entire group being considered.
  • Random Sampling: The selection of a sample in which each item or individual has an equal chance of being selected.
  • Representative Sample: A sample that represents the larger population and can provide accurate predictions about the entire population.
  • Sample: A selection of items chosen from a larger population.
        - Example: Ralph might survey a sample of 1010 students to get an idea of the favorite types of music at his high school.
  • Dot Plot: A chart that uses stacked dots to represent counts.
  • Variation: The amount of spread in a data set.
  • Measure of Center: A number that represents the middle or typical value in a set. The mean, median, and mode are all measures of center.
  • Measure of Variability: A number that represents how much the values in a data set vary. The range, interquartile range, and mean absolute deviation are measures of variability.
  • Median: The middle value in a data set. Half the values are below the median, and half are above the median.
        - Example: The numbers in the set 2,5,6,10,12,17,25{2, 5, 6, 10, 12, 17, 25} are in order, so the median is 1010. There are three values below 1010 and three values above 1010.
  • Range of a Data Set: The difference between the maximum value and the minimum value of a data set. Formula: Range=MaximumMinimum\text{Range} = \text{Maximum} - \text{Minimum}.
        - Example: The range of the data set 8,9,14,16,19,20{8, 9, 14, 16, 19, 20} is 1212, because the maximum is 2020 and the minimum is 88.
  • Spread: A measure describing how much the data in a data set are spread out or scattered.

Unit 5: Probability and Simulations

  • Event: A set of outcomes.
        - Example: Rolling a number less than or equal to 44 on a number cube.
  • Outcome: The result of a random occurrence.
        - Example: The spinner landed on red; the number cube landed on 66.
  • Probability: A number from 00 to 11 that tells how likely an event is. An event that is impossible has a probability of 00; an event that is certain to happen has a probability of 11.
  • Sample Space: The set of all possible outcomes.
        - Example: For a number cube, the sample space is the set 1,2,3,4,5,6{1, 2, 3, 4, 5, 6}.
  • Empirical Probability: An estimated probability that is based on observations rather than theory. It equals the number of successful trials divided by the total number of trials. It is also called experimental probability.
        - Example: Sophie took 2020 shots in a basketball game and made 1010 of them. The empirical probability is 10÷20=0.510 \div 20 = 0.5.
  • Frequency: The total number of observations for a category or interval.
        - Example: A survey of 1010 people found that 33 of them spoke two languages. The frequency for speaking two languages is 33.
  • Probability Experiment: A single trial or group of trials.
  • Relative Frequency: A frequency, usually expressed as a decimal or percent, that shows the proportion of data that falls into a category.
  • Theoretical Probability: A probability based on theory, not on actual experiments.
        - Example: If a cube has faces numbered 11 through 66, the theoretical probability of rolling a 55 is 16\frac{1}{6}.
  • Trial: Any activity for which the outcome is uncertain.
  • Compound Event: An event that is a combination of two or more separate events.
  • Tree Diagram: A diagram that shows all the possible outcomes for an event as branches.
  • Simulation: A model that imitates a real-world situation based on probabilities of individual events. A simulation can use a coin, number cube, spinner, or random number generator.
        - Example: Simulating a student randomly guessing answers to questions.