Use the range rule of thumb; range/4 or 36/4 = 9.
On the standard deviation. It has no effect on the IQR.
no
Standard Deviation tells you how spread out the set of scores are with respects to the mean. It measures the variability of the data. A small standard deviation implies that the data is close to the mean/average (+ or - a small range); the larger the standard deviation the more dispersed the data is from the mean.
When using the mean: the variance or standard deviation. When using the median: the range or inter-quartile range.
The range, median, mean, variance, standard deviation, absolute deviation, skewness, kurtosis, percentiles, quartiles, inter-quartile range - take your pick. It would have been simpler to ask which value IS in the data set!
of coure it is udun-dun-duns
You can't estimate std dev by eye; use the range rule of thumb which is: std dev = range/4.
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.
The range is 12 and the standard deviation is 3.822448314.
On the standard deviation. It has no effect on the IQR.
The range is 9 and 3.01 is the standard deviation.
Neither.
Here's how you do it in Excel: use the function =STDEV(<range with data>). That function calculates standard deviation for a sample.
The standard deviation = 23.856
The standard deviation is better since it takes account of all the information in the data set. However, the range is quick and easy to compute.
Standard deviation shows how much variation there is from the "average" (mean). A low standard deviation indicates that the data points tend to be very close to the mean, whereas high standard deviation indicates that the data are spread out over a large range of values.
characteristics of mean