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# CC2 Ch. 1

### CC2 Chapter 1

Term | Definition |
---|---|

Area | The number of square units needed to fill up a region on a flat surface. |

Compound Events | An outcome that depends on two or more other events. |

Desired Outcomes | “successful” usually means a desired or specified outcome (event), |

Equivalent Fractions | When two fractions have the same numerical value. |

Experimental Probability | The number of successful outcomes in the experiment divided by the total number of outcomes in the experiment. |

Lowest Common Denominator | The smallest common multiple of the denominators of two or more fractions. |

Interval | A set of numbers between two given numbers. |

Mean | The average of a group of numbers found by adding the numbers together then dividing by the number of numbers in the set.This is generally the best measure of central tendency when there are not outliers in the data set. |

Measure of Central Tendency | Mean, median, and mode all fall under this category, reflecting special statistical information about a set of data. |

Median | The middle number of an ordered set of data. If there is no distinct middle, then the average of the 2 middle numbers is used. This measure is generally more accurate than the mean as a measure of central tendency when there are outliers in the data set. |

Multiplicative Identity | This identity property states that multiplying any expression by 1 leaves the expression unchanged. |

Outcome | Possible result in an experiment or consequence of an action. |

Outliers | A number in a set of data that is much larger or much smaller than the other numbers in the set. |

Parallelogram | A quadrilateral with two pairs of parallel sides. |

Percent | A ratio that compares a number to 100. |

Perimeter | The distance around a figure on a flat surface. |

Possible Outcomes | In the context of probability, outcomes with any chance of happening. |

Probability | A number that represents how likely an event is to happen. This is the number of successful outcomes divided by the total number of possible outcomes. |

Proportional Relationship | Two values are in this type of relationship if a proportion may be set up that relates the values. |

Rectangle | A quadrilateral with four right angles. |

Repeating Decimal | A decimal that repeats the same sequence of digits forever from some point onward. They are always the decimal expansions of rational numbers. |

Sample Space | The collection of all possible outcomes of an event. |

Scaling | The ratio between a length of the representation (such as a map, model, or diagram) and the corresponding length of the actual object. For example, the map of a city may use one inch to represent one mile. |

Terminating Decimal | A decimal that has only a finite number of non-zero digits, such as 4.067. |

Theoretical Probability | A calculated probability based on the possible outcomes when each outcome has the same chance of occurring: the number of successful outcomes divided by the total number of possible outcomes. |

Trapezoid | A quadrilateral with at least one pair of parallel sides. |

Triangle | A polygon with three sides. |