The mean, median, and mode of a normal distribution are equal; in this case, 22. The standard deviation has no bearing on this question.
Mean: 26.33 Median: 29.5 Mode: 10, 35 Standard Deviation: 14.1515 Standard Error: 5.7773
Standard deviation can be calculated using non-normal data, but isn't advised. You'll get abnormal results as the data isn't properly sorted, and the standard deviation will have a large window of accuracy.
No. Variance and standard deviation are dependent on, but calculated irrespective of the data. You do, of course, have to have some variation, otherwise, the variance and standard deviation will be zero.
When using the mean: the variance or standard deviation. When using the median: the range or inter-quartile range.
You cannot because the standard deviation is not related to the median.
You cannot because the median of a distribution is not related to its standard deviation.
In the same way that you calculate mean and median that are greater than the standard deviation!
msd 0.560
No, it is not
Neither.
The mean, median, and mode of a normal distribution are equal; in this case, 22. The standard deviation has no bearing on this question.
Mean: 26.33 Median: 29.5 Mode: 10, 35 Standard Deviation: 14.1515 Standard Error: 5.7773
mean | 32 median | 32 standard deviation | 4.472 ========================================================================
characteristics of mean
The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.
Standard deviation can be calculated using non-normal data, but isn't advised. You'll get abnormal results as the data isn't properly sorted, and the standard deviation will have a large window of accuracy.