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Variance is basically the raw material of statistics. If you don't have variance (differences in scores) you don't have much to work with or for that matter you don't have much to talk or think about. Consider a test where everyone gets the same score. What does that tell you? You might have some measurement problem, wherein the test is so easy everyone aces it. Still it might be so hard that everyone gets a zero. Now consider two tests. On each everyone gets the same score. That is on test one everyone gets a 15 and on the second test everyone gets a 10. That isn't telling you much is it? Now these are extreme cases, but in general, more variance is better and less variance isn't so good.
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What are the advantanges and disadvantages of variance in statistics?
There are many advantages and disadvantages of variance in statistics. One disadvantage is that you never know what answer you'll get.
Is sigma square equal to variance?
Yes, sigma squared (σ²) represents the variance of a population in statistics. Variance measures the dispersion of a set of values around their mean, and it is calculated as the average of the squared differences from the mean. In summary, σ² is simply the symbol used to denote variance in statistical formulas.
What is tau-squared statistics in random effects meta-analysis for?
It is the estimate of between-study variance, to quantify heterogeneity
Which measure of variation is appropriate when using the mean?
The variance or standard deviation.
Paper of statistics of hssc1 last year?
statistics first year paper in federal board is always become easy. if you repare only first 5 chapters with examples and definitions you will get 100 percent marks.. important things are summaries of chapter1 and 2.. mean,median,mode,variance,standard deviation,quartile deviation and moments...
