No.
To calculate plus or minus one standard deviation from a mean, first determine the mean (average) of your data set. Then calculate the standard deviation, which measures the dispersion of the data points around the mean. Once you have both values, you can find the range by adding and subtracting the standard deviation from the mean: the lower limit is the mean minus one standard deviation, and the upper limit is the mean plus one standard deviation. This range contains approximately 68% of the data in a normal distribution.
It is a measure of the spread of the outcomes around the mean value.
In general you cannot. You will need to know more about the distribution of the variable - you cannot assume that the distribution is uniform or Normal.
The width of a distribution can be measured using several metrics, including range, interquartile range (IQR), and standard deviation. The range provides the difference between the maximum and minimum values, while the IQR represents the spread of the middle 50% of the data, indicating variability without being affected by outliers. Standard deviation quantifies the average distance of each data point from the mean, offering insights into the overall dispersion of the dataset. Together, these measures provide a comprehensive view of the distribution's width and variability.
Yes. Consider 1,1,1,1,1,3,5,5,5,5,5 and 0,3,3,3,3,3,3,3,3,3,5 Set 1: Range = 4, sd = 2.00 Set 2: Range = 5, sd = 1.14
no
It is a measure of the spread of the outcomes around the mean value.
in a normal distribution, the mean plus or minus one standard deviation covers 68.2% of the data. If you use two standard deviations, then you will cover approx. 95.5%, and three will earn you 99.7% coverage
In general you cannot. You will need to know more about the distribution of the variable - you cannot assume that the distribution is uniform or Normal.
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.
I think its better to use range deviation in any distribution because it doesn't cause any trouble
The range is 12 and the standard deviation is 3.822448314.
On the standard deviation. It has no effect on the IQR.
Type your answer here... It depends what percentage of the total data you want to embrace. 99.73% of the total distribution lies between minus to plus 3 standard deviations. That's usually the benchmark range.
In general, you cannot. If the distribution can be assumed to be Gaussian [Normal] then you could use z-scores.
The range is 9 and 3.01 is the standard deviation.
Yes. Consider 1,1,1,1,1,3,5,5,5,5,5 and 0,3,3,3,3,3,3,3,3,3,5 Set 1: Range = 4, sd = 2.00 Set 2: Range = 5, sd = 1.14