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

variances add | 0.94 | 0.2 | 7678 | 14 | 13 |

variances | 0.8 | 0.5 | 6287 | 72 | 9 |

add | 0.75 | 0.9 | 4032 | 50 | 3 |

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

variances add | 1.03 | 0.5 | 1107 | 35 |

variance addition | 0.14 | 0.7 | 1609 | 82 |

variance addition rules | 0.56 | 0.7 | 6993 | 27 |

variance additive | 1.77 | 0.3 | 1344 | 19 |

variance addition formula | 0.84 | 0.2 | 8104 | 3 |

variance is additive | 0.29 | 0.1 | 4931 | 78 |

variances and standard deviations | 1.61 | 0.4 | 4801 | 66 |

variances and covariances | 1.44 | 0.8 | 6282 | 13 |

variances are additive | 1.06 | 0.5 | 6258 | 7 |

do variances add | 0.66 | 0.8 | 9260 | 94 |

addition of variances | 0.91 | 0.3 | 2062 | 30 |

adding two variances | 0.25 | 0.5 | 4016 | 6 |

adding variances statistics | 0.94 | 0.8 | 2320 | 40 |

variances of addictive substances | 1.69 | 0.7 | 8295 | 3 |

Variability refers to how spread apart the scores of the distribution are or how much the scores vary from each other. There are four major measures of variability, including the range, interquartile range, variance, and standard deviation.

The mathematical formula for a standard deviation is the square root of the variance. On the other hand, the variance's formula is the average of the squares of deviations of each value from the mean in a sample.

The difference between standard deviation and variance can be drawn clearly on the following grounds: Variance is a numerical value that describes the variability of observations from its arithmetic mean. Standard deviation is a measure of dispersion of observations within a data set.

Normally variance is the difference between an expected and actual result. In statistics, the variance is calculated by dividing the square of the deviation about the mean with the number of population.