To calculate variance, first find the mean (average) of your data set. Then, subtract the mean from each data point and square the result to eliminate negative values. Next, sum these squared differences and divide by the number of data points (for population variance) or by the number of data points minus one (for sample variance). This final result is the variance, which measures the spread of the data points around the mean.
They equal a minus and two +'s or two -'s equal a + :)
If you mean CI minus XLVIII then it is LIII because 101 minus 48 = 53
If you mean 668 minus 412 then it is 256
If you mean 1130 minus 15 minus 16 then it is 1099
FFS
In other words, why isn't it standardized so that the underdog always gets plus points next to the name? Or the other way around, why don't they just list the favorite with minus next to the name? Why is it mixed and matched depending on the game? The point spread in football is simple. It is never "mixed and matched" depending on the game. However, it does seem backward until you think about it. If a team is favored by 6.5 points, then it has a -6.5 point spread. They must "make up" 6.5 points to "beat the spread". The underdog would therefore have a + 6.5 spread. Get it?
A SHEET of paper.
Move the mouse cursor to what you want to select.
It refers to some variable whose distribution has got some mean and the measure of its spread is a standradr deviation of 17 cm. If the distribution is Normal (or approximately so), then the interval from the mean measure minus 17 cm to the mean plus 17 cm will contain approx 68% of the total number of observations.
The standard deviation is a measure of the spread of data about the mean. Although it is essentially a measure of the spread, the fact that it is the spread ABOUT THE MEAN that is being measured means that it does depend on the value of the mean. However, the SD is not affected by a translation of the data. What that means is that if I add any fixed number to each data point, the mean will increase by that number, but the SD will be unchanged.
A plus with a minus under it means "plus or minus" in math.
They equal a minus and two +'s or two -'s equal a + :)
Yes. Standard deviation depends entirely upon the distribution; it is a measure of how spread out it is (ie how far from the mean "on average" the data is): the larger it is the more spread out it is, the smaller the less spread out. If every data point was the mean, the standard deviation would be zero!
When you subtract the standard deviation from the mean, you get a value that represents one standard deviation below the average of a dataset. This can be useful for identifying lower thresholds in data analysis, such as determining the cutoff point for values that are considered below average. In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, so this value can help in understanding the spread of the data.
If you mean CI minus XLVIII then it is LIII because 101 minus 48 = 53
menos