To find the standard deviation, you must first compute the mean for the data set. So the answer is yes. Just have a look at the 5 steps needed to compute a standard deviation and you will see why the answer is yes. In reality, people most often use calculators or computers to do this. However, it is good to understand what they are doing. 1. Compute the deviation by subtracting the mean from each value. 2. Square each individual deviation. 3. Add up the squared deviations. 4. Divide by one less than the sample size. 5. Take the square root
Yes, it is 0.5*abs(a-b), where "abs" represents the absolute function: that is, a-b or b-a, whichever is greater.
Neither.
To obtain a much better, simpler, and more practical understanding of the data distribution.
There is insufficient information in the question to answer it. In order to compute a mean and a standard deviation, you need at least two data points, but the question only gave one. Please restate the question.
Variance is variability and diversity of security from average mean and expected value Variance = standard deviation fo security * co relation (r) devided by standanrd deviation of sensex
What is mean deviation and why is quartile deviation better than mean deviation?
None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0
This question cannot be answered. You need the mean and standard deviation in order to compute a Z score for a Raw score. Please restate the question.
No. The mean deviation is 0. Always.
The mean average deviation is the same as the mean deviation (or the average deviation) and they are, by definition, 0.
mean deviation =(4/5)quartile deviation