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# Statistics - Exam 1

Question | Answer |
---|---|

complete collection of people, objects, scores, etc. to studied | population |

process of getting information from each element of the population | census |

any sub collection of data drawn from a population | sample |

any characteristic of the elements of the population | variable |

tells what values a variable has and how often those values occur | distribution |

value measuring some characteristic of a population | parameter |

value measuring some characteristic of a sample | statistic |

value that splits an ordered data set into 2 halves | median |

value that is far away from the rest of the data set | outlier |

average squared deviations from the elements to the mean | variance |

splits data set into 4 equal groups | quartile |

graph displaying the relationship between 2 variables | scatter plot |

value that measures the strength and direction of a linear relationship between 2 quantitative variables | correlation coefficient |

making predictions with values that are outside the range of x variables | extrapolation |

3 phases of statistics | gather data, analyze data, make inferences |

2 characteristics of a good sample | variety, size |

reasons to take a sample | saves time, saves money, destructive measures |

midrange formula | max + min / 2 |

variance of a sample symbol | s² |

standard deviation symbol | s |

variance formula | s²= n(Σx²)-(Σx)²/n(n-1) |

standard deviation equals the square root of the _____________ | variance |

slope symbol | b1, a (on calc) |

correlation coeffiecient of a sample symbol | r |

variance of a population symbol | σ² |

y intercept symbol | b0, b (on calc) |

regression equation | y(with a hat)= b1 * x + b0 |

standard deviation symbol (on calc) | Sx |

You can get variance by multipling standard deviance (Sx) by ____________ | itself |

variance answers are always ___________ | squared |

number of classes symbol | k |

population mean symbol | µ |

what does a 5 # summary consist of? | min, Q1, Q2 (median), Q3, max |

correlation coefficient formula | n * Σxy - Σx * Σy r= --------------------------------- sqr(n*Σx²-(Σx)²)*sqr(n*Σy²-(Σy)²) |

slope formula | n * Σxy - Σx * Σy b1= --------------------- n * Σx² - (Σx)² |

y intercept formula | b0 = (mean of y) - b1 * (mean of x) |

Created by:
K1N1V