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

variances test | 0.99 | 0.4 | 6020 | 86 | 14 |

variances | 1.19 | 0.4 | 5741 | 54 | 9 |

test | 0.88 | 0.7 | 4557 | 7 | 4 |

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

variances test | 1.17 | 0.9 | 2191 | 38 |

Two-Sample Test for Variances. In the Two-Sample Test for Variances task, you can test whether two variables have different variances, or, if you have a single variable that contains values for two groups, you can determine whether the variance differs between the groups.

Variance and Standard Deviation. A small variance indicates that the data points tend to be very close to the mean, and to each other. A high variance indicates that the data points are very spread out from the mean, and from one another. Variance is the average of the squared distances from each point to the mean.

Levene's test ( Levene 1960) is used to test if k samples have equal variances. Equal variances across samples is called homogeneity of variance. Some statistical tests, for example the analysis of variance, assume that variances are equal across groups or samples. The Levene test can be used to verify that assumption.

Mean-variance criterion. The selection of portfolios based on the means and variances of their returns. The. choice of the higher expected return portfolio for a given level of variance or the lower variance portfolio for. a given expected return.