Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|

standard deviation symbol sx | 0.56 | 0.9 | 816 | 3 | 28 |

standard | 0.24 | 0.5 | 3484 | 44 | 8 |

deviation | 0.81 | 0.6 | 9732 | 15 | 9 |

symbol | 1.21 | 0.6 | 2230 | 77 | 6 |

sx | 1.89 | 0.4 | 4203 | 21 | 2 |

Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|

standard deviation symbol sx | 0.71 | 0.7 | 4283 | 18 |

standard deviation symbols | 1.26 | 0.9 | 6255 | 32 |

standard deviation symbol statistics | 0.88 | 0.2 | 9562 | 64 |

standard deviation symbol x | 0.36 | 0.8 | 3800 | 14 |

standard deviation symbol stats | 0.58 | 0.1 | 6473 | 76 |

standard deviation symbol sigma | 0.9 | 0.6 | 8054 | 88 |

standard deviation symbol squared | 1.66 | 0.9 | 5941 | 41 |

standard deviation symbol sample | 0.81 | 0.9 | 5588 | 19 |

standard deviation symbol s2 | 0.27 | 0.1 | 6639 | 96 |

standard deviation symbol shortcut | 0.54 | 0.9 | 9416 | 35 |

standard deviation symbol excel | 0.35 | 0.7 | 974 | 25 |

standard deviation symbols meaning | 1.4 | 0.6 | 1603 | 65 |

standard deviation symbols in statistics | 0.36 | 1 | 1739 | 74 |

standard deviation symbols calculator | 1.94 | 0.4 | 639 | 68 |

The standard deviation is used in conjunction with the mean to summarise continuous data, not categorical data. In addition, the standard deviation, like the mean, is normally only appropriate when the continuous data is not significantly skewed or has outliers.

Standard deviation is a measure of spread in a distribution and tells us how disperse the data is in your sample (and correspondingly, your population). This helps to describe whether most of your data is close to the average or far away, something that the mean alone can't tell you.