There are a lot of different symbols used in statistics. There could also be symbols you have used before in another class, but mean something different in stats. To clear some confusion, I compiled a list of the more common symbols used in intro CSU stat courses.

Name | Symbol | Description |
---|---|---|

Population Mean | A parameter, the population average. | |

Sample Mean | A statistic, the sample average. | |

Population Standard Deviation | A parameter, which measures the variability in the population. | |

Sample Standard Deviation | A statistic, which measures the variability in the sample | |

Sample Size | The number of observations in an experiment. | |

Pooled Standard Deviation | A weighted average of two groups standard deviations. | |

T Value | Can represent a test statistic when performing a t-test or the critical value when creating a CI. | |

Z Value | Can represent a z-score or a test statistic. | |

Sample Correlation | Measures the linear relationship between two variables. | |

Population Correlation | Measures the linear relationship between two variables. | |

Proportion | The number of "successes" over the total observations. | |

Null Hypothesis | The assumed hypothesis when performing a hypothesis test. | |

Alternative Hypothesis | The hypothesis we are trying to "disprove" in a hypothesis test. | |

Estimated Slope | The estimated slope in the line of best fit. | |

Estimated Y-Intercept | The estimated y-intercept in the line of best fit. | |

Population Slope | The theoretical slope in a linear regression model. | |

Population Y-Intercept | The theoretical y-intercept in a linear regression model. | |

Coefficient of Determination | The proportion of variability in the response that can be explained by the model. | |

Random Error | The random error term that is added in the theoretical linear regression model. | |

F Value | The test statistic used when performing ANOVA. |