Does Sampling Variance Converge to Theoretical Variance in Simulations?

  • Thread starter jimmy1
  • Start date
  • Tags
    Variance
In summary, the conversation discusses the difference between theoretical variance and experimental variance, and whether the average variance of a random variable will be the same as the theoretical variance. It is possible for the experimental variances to differ widely, but the average of the variances will converge to the theoretical variance. However, each individual variance does not have to be the same.
  • #1
jimmy1
61
0
if a random variable X has variance sigma, does it mean that the average variance of X will be sigma, or will X always have variance sigma.
So if I did 10 simulations of the random variable X, is it plausiable that the variances differ widely, but the average of the variances converge to the theoretical variance, or do each of the variance have to be the same.
 
Physics news on Phys.org
  • #2
It looks like you are mixing up two different usages of the term variance. There is a theoretical variance which is fixed.

However the experimental variance can vary from experiment to experiment. The theoretical mean of the experimental variance is the theoretical variance.
 
  • #3
Thanks, that cleared things up!
 
  • #4
jimmy1 said:
So if I did 10 simulations of the random variable X, is it plausiable that the variances differ widely, but the average of the variances converge to the theoretical variance, or do each of the variance have to be the same.

If you do not consider n-1 to be approximately equal to n, the avarage variance will not be equal to the theoritical variance nor do each of the sample variances will be same. Find 'expectation' of the sample (of size n) variance and check that it is not equal to theoritical variance.
 

1. What is simple variance?

Simple variance is a statistical measure of how spread out a set of data points is. It is calculated by finding the difference between each data point and the mean, squaring those differences, and then taking the average of all the squared differences.

2. How is simple variance calculated?

Simple variance is calculated by finding the difference between each data point and the mean, squaring those differences, and then taking the average of all the squared differences. This can be represented mathematically as: variance = (sum of (data point - mean)^2) / (total number of data points).

3. What is the purpose of calculating simple variance?

The purpose of calculating simple variance is to measure the variability or spread of a set of data points. It is used in statistics to understand how much individual data points deviate from the mean and to make comparisons between different sets of data.

4. How is simple variance different from standard deviation?

Simple variance and standard deviation are both measures of variability, but they differ in the way they are calculated. Simple variance is calculated by first finding the squared differences between each data point and the mean, while standard deviation is calculated by finding the square root of the variance. In other words, standard deviation is the square root of the average of all the squared differences.

5. What are some real-world applications of simple variance?

Simple variance is commonly used in various fields such as finance, economics, and science to analyze and understand data. It is used to measure risk and volatility in financial markets, to compare data sets in scientific experiments, and to understand the variability in economic indicators such as GDP and inflation rates.

Similar threads

  • Set Theory, Logic, Probability, Statistics
Replies
6
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
4
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
9
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
7
Views
459
  • Set Theory, Logic, Probability, Statistics
Replies
5
Views
265
  • Set Theory, Logic, Probability, Statistics
Replies
28
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
3
Views
770
  • Set Theory, Logic, Probability, Statistics
Replies
3
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
3
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
7
Views
4K
Back
Top