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No. The variance of any distribution is the sum of the squares of the deviation from the mean. Since the square of the deviation is essentially the square of the absolute value of the deviation, that means the variance is always positive, be the distribution normal, poisson, or other.
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What is the difference between the mean and z-score?
There is little in common between the two. Any set of numbers can have a mean. A z-score the standardised version of the Gaussian (or Normal) distribution. If X is a random variable that is normally distributed with mean µ and variance σ2 then Z = (X - µ)/σ is distributed with mean 0 and variance 1. Z is said to have the Standard Normal distribution. The value of Z is the z score for the random variable X..
What is z value?
If a random variable (RV) X is distributed Normally with mean m and standard deviation sthenZ = (X - m)/s is the corresponding Normal variable which is distributed with mean 0 and variance 1. The distribution of X is difficult to compute but that for Z is readily available. It can be used to find the probabilities of the RV lying in different domains and thereby for testing hypotheses.
What is the variance for the uniform random variable?
the variance of the uniform distribution is (a+b)/12
What a correlation of 0.30 means that the independent variable explains -- percent of the variance in the dependent variable?
The independent variable explains .32*100 percent of the variance in the dependent variable.This is 9%.The explainable variance is always the square of the correlation (r).
Can standard deviation and variance be negative?
No. Neither the standard deviation nor the variance can ever be negative.
How do you find a z score?
If you have a variable X that is normally distributed with mean m and variance s2 then the z-score, Z = (X - m)/s.Z has a standard Normal distribution.
What does it mean for a population to be normally distributed?
A Gaussian distribution is the "official" term for the Normal distribution. This is a probability density function, of the exponential family, defined by the two parameters, its mean and variance. A population is said to be normally distributed if the values that a variable of interest can take have a normal or Gaussian distribution within that population.
What is the difference between the mean and z-score?
There is little in common between the two. Any set of numbers can have a mean. A z-score the standardised version of the Gaussian (or Normal) distribution. If X is a random variable that is normally distributed with mean µ and variance σ2 then Z = (X - µ)/σ is distributed with mean 0 and variance 1. Z is said to have the Standard Normal distribution. The value of Z is the z score for the random variable X..
What is z value?
If a random variable (RV) X is distributed Normally with mean m and standard deviation sthenZ = (X - m)/s is the corresponding Normal variable which is distributed with mean 0 and variance 1. The distribution of X is difficult to compute but that for Z is readily available. It can be used to find the probabilities of the RV lying in different domains and thereby for testing hypotheses.
What are the properties of z in a normal distribution?
Z is a variable with mean 0 and variance 1.Z is a variable with mean 0 and variance 1.Z is a variable with mean 0 and variance 1.Z is a variable with mean 0 and variance 1.
Basic assumption in analysis of variance?
1- observations are from normally distributed populations. 2- observations are from populations with equal variances.
Assumption of one-way analysis of variance?
The results of a one-way ANOVA can be considered reliable as long as the following as The results of a one-way ANOVA can be considered reliable as long as the following assumptions are met: * Response variable must be normally distributed (or approximately normally distributed). * Samples are independent. * Variances of populations are equal. * The sample is a Simple Random Sample (SRS). ANOVA is a relatively robust procedure with respect to violations of the normality assumption (Kirk, 1995) If data are ordinal, a non-parametric alternative to this test should be used - Kruskal-Wallis one-way analysis of variance. sumptions are met: * Response variable must be normally distributed (or approximately normally distributed). * Samples are independent. * Variances of populations are equal. * The sample is a Simple Random Sample (SRS). ANOVA is a relatively robust procedure with respect to violations of the normality assumption (Kirk, 1995) If data are ordinal, a non-parametric alternative to this test should be used - Kruskal-Wallis one-way analysis of variance
What is the difference between variable overheads cost variance andfixed overheads cost variance?
Variable overhead cost variance is that variance which is in variable overheads costs between the standard cost and the actual variable cost WHILE fixed overheads cost variance is variance between standard fixed overhead cost and actual fixed overhead cost.
What is the difference between negative price variance and volume variance?
Negative price variance is when the cost is less than budgeted. Volume variance is a variance in the volume produce.
Can variance be negative?
Since Variance is the average of the squared distanced from the mean, Variance must be a non negative number.
What are the variances in a 4 variance analysis?
efficiency variance, spending variance, production volume variance, variable and fixed components
What is the variance for the uniform random variable?
the variance of the uniform distribution is (a+b)/12
