Calculating the variance with a TWIST

  • Thread starter apoechma
  • Start date
  • Tags
    Variance
In summary, to calculate the variance of a set of 10 scores with only 9 deviation scores given, the missing deviation can be found by making the mean of all 10 deviations equal to 0. Then, the variance can be calculated by squaring each deviation, summing them, and dividing by n-1.
  • #1
apoechma
14
0
Calculating the variance with a TWIST!

Hello! I am trying to understand this problem! its just on my practice questions and Ihave the answer, I CAN NOT understand how to set it up! PLEASE someon ehelpo!

THis is it :)

A student wants to calculate the variance of a set of 10 scores. But he doesn't have hte raw scores, but only has the deviation of each raw score from the mean. Worse yet he only has 9 of tese deviation scores...

compute the variance for him

-5, +11, -4, -2, +7, -8, -6, +1, -3
 
Physics news on Phys.org
  • #2


Well, the mean of the deviations from the mean must be zero, so to find the 10th score deviation, pick the one that makes the mean of the 10 values equal to 0.

Then just compute the variance of those 10; remember, variance is unchanged by equal shifts of all the values
 
  • #3


Your first step in calculating the variance would be to take the distance from each element to the mean, right? So it shouldn't be a problem that this is done for you. The last missing distance will of course be the negative of the sum of the other distances, since the overall sum needs to be 0 (otherwise, the mean wouldn't be the mean!).
 
  • #4


Once you have the tenth deviation, the sample variance is the sum of the squares of these deviations divided by n-1.
 

FAQ: Calculating the variance with a TWIST

1. What is a variance and why is it important in calculations?

A variance is a statistical measure that shows how much a set of data varies from its average. It is important in calculations because it provides information about the spread of the data, allowing for a better understanding of the data set's overall characteristics.

2. What is the "TWIST" in calculating variance?

The "TWIST" in calculating variance stands for "Time-Weighted Interval Sum Technique." This technique involves assigning weights to different intervals of time, rather than using a simple average, to calculate the variance.

3. How is the TWIST method different from other methods of calculating variance?

The TWIST method differs from other methods of calculating variance in that it takes into account the time intervals in which the data is collected. This allows for a more accurate representation of the data, especially in cases where the data is collected at irregular intervals.

4. When should the TWIST method be used instead of other methods of calculating variance?

The TWIST method should be used when the data is collected at irregular intervals or when the data has a time component that is important to consider. It is also useful when there are gaps in the data or when the data is non-stationary.

5. Are there any limitations to using the TWIST method for calculating variance?

Like any statistical method, there are limitations to using the TWIST method for calculating variance. It may not be suitable for all types of data and may not provide accurate results if the time intervals are not chosen carefully. Additionally, it may not be as easy to interpret as other methods for those who are not familiar with the technique.

Similar threads

Back
Top