# What does variance mean in mathematics?

A variance is a measure of how far a set of numbers is spread
out around its mean.

### How do you find the z score of 12.5?

To find the Z score from the random variable you need the mean and variance of the rv. To find the Z score from the random variable you need the mean and variance of the rv. To find the Z score from the random variable you need the mean and variance of the rv. To find the Z score from the random variable you need the mean and variance of the rv.

### What is a difference between a pooled variance and a combined variance?

Pooled variance is a method for estimating variance given several different samples taken in different circumstances where the mean may vary between samples but the true variance (equivalently, precision) is assumed to remain the same. A combined variance is a method for estimating variance from several samples, given the size, mean and standard deviation of each. Mathematically, a combined variance is equal to the calculated variance of the set of the data from all samples…

### How do you write a c program to calculate mean variance and standard deviation?

Program in C Here is a program in C to calculate mean variance and standard deviation: #include<stdio.h> #include<conio.h> void main() { float a[50],sum=0,vsum=0,mean,variance,sd; int n,i; printf("Enter the no of valus"); scanf("%d",&n); printf("Enter the no of valus"); for(i=0;i<n;i++) { scanf("%f",&a[i]); } for(i=0;i<n;i++) { sum=sum+a[i]; mean=sum/n; } for(i=0;i<n;i++) {vsum=vsum+((a[i]-mean)*(a[i]-mean)); variance=vsum/(n-1); sd=sqrt(variance); } printf("Arithmeti mean=%f",mean); printf("Variance=%f",variance); printf("Standard=%f",sd); getch(); }

### What is the Difference between normal and gaussian distribution?

Actually the normal distribution is the sub form of Gaussian distribution. Gaussian distribution have 2 parameters, mean and variance. When there is zero mean and unit variance the Gaussian distribution becomes normal other wise it is pronounced as Gaussian. Wrong! The standard normal distribution has mean 0 and variance 1, but a normal distribution is the same as the Gaussiand, and can have any mean and variance. Google stackexcange "what-is-the-difference-between-a-normal-and-a-gaussian-distribution"

### What is the significance of variance in statistics?

Variance is a measure of "relative to the mean, how far away does the other data fall" - it is a measure of dispersion. A high variance would indicate that your data is very much spread out over a large area (random), whereas a low variance would indicate that all your data is very similar. Standard deviation (the square root of the variance) is a measure of "on average, how far away does the data…

### What are are measures of variability or dispersion within a set of data?

Some measures: Range, Interquartile range, Interpercentile ranges, Mean absolute deviation, Variance, Standard deviation. Some measures: Range, Interquartile range, Interpercentile ranges, Mean absolute deviation, Variance, Standard deviation. Some measures: Range, Interquartile range, Interpercentile ranges, Mean absolute deviation, Variance, Standard deviation. Some measures: Range, Interquartile range, Interpercentile ranges, Mean absolute deviation, Variance, Standard deviation.

### How do you calculate salary variance?

I believe you are interested in calculating the variance from a set of data related to salaries. Variance = square of the standard deviation, where: s= square root[sum (xi- mean)2/(n-1)] where mean of the set is the sum of all data divided by the number in the sample. X of i is a single data point (single salary). If instead of a sample of data, you have the entire population of size N, substitute N…

### Distinguish between mean deviation and standard deviation?

The mean deviation for any distribution is always 0 and so conveys no information whatsoever. The standard deviation is the square root of the variance. The variance of a set of values is the sum of the probability of each value multiplied by the square of its difference from the mean for the set. A simpler way to calculate the variance is Expected value of squares - Square of Expected value.