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What is 2 6 ( 3 ) ( 5 )?
The standard deviation of 2 3 5 6 = 1.8257
What is the standard deviation of these four scores 2 4 3 7?
Standard deviation is the square root of the mean. The mean for this set is (2 + 4 + 3 + 7)/4 = 16/4 = 4; the square root of this is 2.
The standard deviation of a distribution is 5 if you mutiply each score by 3 what would the new standard deviation be?
It would be 3*5 = 15.
What is the standard deviation of 1 2 3 4 5 6 7 8 9 10?
Variance = 2.87 (approx).
What is the mean absolute deviation of 2 3 5 4 9 4 3?
Absolute deviation from what?
What is the standard deviation of 2 3 5 6?
The standard deviation of 2 3 5 6 = 1.8257
What is the standard deviation 2 3 4?
For 2 3 4: σ=1
What does it call if you multiplied deviation standard by 2 or by 3?
It is not called anything special, just 2 standard deviations or 3 sd.
What is 2 6 ( 3 ) ( 5 )?
The standard deviation of 2 3 5 6 = 1.8257
What is the standard deviation of these four scores 2 4 3 7?
Standard deviation is the square root of the mean. The mean for this set is (2 + 4 + 3 + 7)/4 = 16/4 = 4; the square root of this is 2.
What are the steps involved in management directing?
1. establishment of standard 2. fixation of the standard 3. compairing actual performance with standard performance 4. finding out the deviation 5. correcting the deviation
What is the standard deviation of 3 6 and 12?
Answer is Square-root(14) or approximately +/-3.74. Explanation: To find the standard deviation, you must first find the mean of the population. In this case, the mean is (3+6+12)/3 = 21/3 = 7. Then, we take the Square root of (average of the Squares of (mean - each number)). = Square-root of ( [ (7-3)^2 + (7-6)^2 + (7-12)^2 ] / 3 ) = Square root of ( [ 16 + 1 + 25 ] / 3 ) = Square root of (42 / 3) = Square root of (14)
The standard deviation of a distribution is 5 if you mutiply each score by 3 what would the new standard deviation be?
It would be 3*5 = 15.
How To Calculate Standard Deviation?
You can calculate standard deviation by addin the numbers of data that are together and dividing that number by the amount pieces of data.THAT IS TOTALLY INCORRECT.What was answered above was the calculation for getting an (mean) average.If you take five numbers for example 1, 2, 3, 4, 5 then the (mean) average is 3.But the standard deviation between them is 1.58814 and the variance is 2.5Also the population std. deviation will be 1.41421 and the population variance will be 2.see standard-deviation.appspot.com/
If I add 2 to each individual raw score, what will happen to the standard deviation 3?
1.50
What is the 68-95-99.7 rule?
The 68-95-99.7 rule, or empirical rule, says this:for a normal distribution almost all values lie within 3 standard deviations of the mean.this means that approximately 68% of the values lie within 1 standard deviation of the mean (or between the mean minus 1 times the standard deviation, and the mean plus 1 times the standard deviation). In statistical notation, this is represented as: μ ± σ.And approximately 95% of the values lie within 2 standard deviations of the mean (or between the mean minus 2 times the standard deviation, and the mean plus 2 times the standard deviation). The statistical notation for this is: μ ± 2σ.Almost all (actually, 99.7%) of the values lie within 3 standard deviations of the mean (or between the mean minus 3 times the standard deviation and the mean plus 3 times the standard deviation). Statisticians use the following notation to represent this: μ ± 3σ.(www.wikipedia.org)
What are the changes that a sample size can change to standard deviation?
Consider thatxd= x- Arithmetic meand211-1.5 = -0.50.2522-1.5 = 0.50.25=0.5Arithmetic mean = (1+2)/2 =1.5Standard deviation=ie .5= 0.70now Considerxd= x- Arithmetic meand211-2=-1122-2=0033-2=11Arithmetic mean= (1+2+3)/3 = 2 =2Standard deviation= = (2/2) = 1So the Standard deviation can increasenow Considerxd= x- Arithmetic meand211-1.25=-0.250.062522-1.25=0.750.562511-1.25=-0.250.062511-1.25=-0.250.0625Arithmetic mean= (1+2+1+1)/4= 1.25 = .75Standard deviation= = (0.75/4) = 0.4330So the Standard deviation can decreaseStandard deviation can either decrese or increase or remains the same
