If the variance equals zero, it indicates that all the values in the dataset are identical, meaning there is no variability or spread among the data points. This uniformity suggests that every data point is the same as the mean, leading to no dispersion. In practical terms, a variance of zero can imply a lack of diversity or change within the dataset.
When a distribution has zero variance, it means that all the values in the dataset are identical; there is no variability or spread among the data points. Essentially, every observation is equal to the mean, resulting in a distribution that is a single point. This condition indicates complete certainty and no risk, as there is no deviation from the mean. In practical terms, a zero variance suggests that the dataset lacks diversity or fluctuation in its values.
Favourable variance is that variance which is good for business while unfavourable variance is bad for business
X = any number you like. You see, in order to solve for x, one would have to know what those two things equaled. For instance, what if x = zero? The square root of 2 times zero multiplied by the square root of 50 times zero, is going to be zero.
There are 7 variances associated with a budget ( which are generally calculated for controlling purposes) 1- Material Price variance 2- Material Quantity variance 3- Labor rate variance 4- Labor efficiency variance 5- Spending variance 6- Efficiency variance 7- Capacity variance
Equal in Variance
It is zero.
In statistics, variance measures how far apart a set of numbers is spread out. If the numbers are identical, the variance is zero. Variance can never be negative.
Variance is standard deviation squared. If standard deviation can be zero then the variance can obviously be zero because zero squared is still zero. The standard deviation is equal to the sum of the squares of each data point in your data set minus the mean, all that over n. The idea is that if all of your data points are the same then the mean will be the same as every data point. If the mean is the equal to every data point then the square of each point minus the mean would be zero. All of the squared values added up would still be zero. And zero divided by n is still zero. In this case the standard deviation would be zero. Short story short: if all of the points in a data set are equal than the variance will be zero. Yes the variance can be zero.
No. Variance and standard deviation are dependent on, but calculated irrespective of the data. You do, of course, have to have some variation, otherwise, the variance and standard deviation will be zero.
When a distribution has zero variance, it means that all the values in the dataset are identical; there is no variability or spread among the data points. Essentially, every observation is equal to the mean, resulting in a distribution that is a single point. This condition indicates complete certainty and no risk, as there is no deviation from the mean. In practical terms, a zero variance suggests that the dataset lacks diversity or fluctuation in its values.
No, the F statistic cannot be negative. The F statistic is derived from the ratio of variances, specifically the variance between groups divided by the variance within groups. Since variances are always positive or zero, the resulting F statistic will also be zero or positive.
My mom plus my dad equaled me.
Favourable variance is that variance which is good for business while unfavourable variance is bad for business
X = any number you like. You see, in order to solve for x, one would have to know what those two things equaled. For instance, what if x = zero? The square root of 2 times zero multiplied by the square root of 50 times zero, is going to be zero.
Equaled means to be the same as in number or amount, or to match / rival in a performance or event.
Negative price variance is when the cost is less than budgeted. Volume variance is a variance in the volume produce.
efficiency variance, spending variance, production volume variance, variable and fixed components