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# Prob and stats

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

Slope | m |

Qualitative Data | attributes, labels, or non non-numeric entries |

y | dependent variable |

Statistic | numerical description of a sample |

Regression Line | the line of best fit |

Experiment | a treatment is applied and responses are observed |

x | independent variable |

Survey | an investigation carried out by asking questions |

Population | the collection of all outcomes |

Y-intercept | b |

Frequency | number of data entries in the class |

The y-value of a data point corresponding to x! | y! |

Statistics | the science of collecting, organizing,analyzing,and interpreting data |

Scatterplot | ordered pairs are graphed as points on a graph |

The mean of the y values | - y |

Parameter | numerical description of a population |

Sample | subset of population |

Pareto Chart | histogram with decreasing bars |

The point a regression line passes through | (x,y) |

Interquartile range | difference between the first and third quartile |

Range | the distance between the max and min |

The y-value for a point on the regression line corresponding to x! | ^ y |

Mean | sum of data entries divided by number of entries |

Mode | piece of data that occurs the most |

Quantitative | numerical measurements or counts |

Residual | the difference between the observed y-value and the predicted y-value |

Simple Event | single outcomes |

Sample Space | set of all possible outcomes |

Subjective Probability | what you think will happen |

Variance | σ2 |

Classical Probability | when each outcomes is equally likely to occur |

Combination | selection of objects without order |

Permutation | "ordered" arrangements of objects |

Empirical Probability | probability determined by experiment |

Outcome | the result of a single trial |

Mutually Exclusive | two events that cannot occur at the same time |

Standard Deviation | σ |

Complement of an Event | all outcomes that are not desired |

Event | one or more outcomes |

Dependent Events | two events that rely on eachother |

Outliers | are extreme values not in the norm |