Consider that
x
d= x- Arithmetic mean
d2
1
1-1.5 = -0.5
0.25
2
2-1.5 = 0.5
0.25
=0.5
Arithmetic mean = (1+2)/2 =1.5
Standard deviation=
ie .5= 0.70
now Consider
x
d= x- Arithmetic mean
d2
1
1-2=-1
1
2
2-2=0
0
3
3-2=1
1
Arithmetic mean= (1+2+3)/3 = 2 =2
Standard deviation= = (2/2) = 1
So the Standard deviation can increase
now Consider
x
d= x- Arithmetic mean
d2
1
1-1.25=-0.25
0.0625
2
2-1.25=0.75
0.5625
1
1-1.25=-0.25
0.0625
1
1-1.25=-0.25
0.0625
Arithmetic mean= (1+2+1+1)/4= 1.25 = .75
Standard deviation= = (0.75/4) = 0.4330
So the Standard deviation can decrease
Standard deviation can either decrese or increase or remains the same
The standard deviation of the population. the standard deviation of the population.
Yes
Standard deviation in statistics refers to how much deviation there is from the average or mean value. Sample deviation refers to the data that was collected from a smaller pool than the population.
Here's how you do it in Excel: use the function =STDEV(<range with data>). That function calculates standard deviation for a sample.
You're an idiot. It's standard deviation. Google that for your answer.
A single observation cannot have a sample standard deviation.
They will differ from one sample to another.
The standard deviation of the population. the standard deviation of the population.
Yes
If the population standard deviation is sigma, then the estimate for the sample standard error for a sample of size n, is s = sigma*sqrt[n/(n-1)]
The increase in sample size will reduce the confidence interval. The increase in standard deviation will increase the confidence interval. The confidence interval is not based on a linear function so the overall effect will require some calculations based on the levels before and after these changes. It would depend on the relative rates at which the change in sample size and change in standard deviation occurred. If the sample size increased more quickly than then standard deviation, in some sense, then the size of the confidence interval would decrease. Conversely, if the standard deviation increased more quickly than the sample size, in some sense, then the size of the confidence interval would increase.
Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.
the sample standard deviation
Standard deviation in statistics refers to how much deviation there is from the average or mean value. Sample deviation refers to the data that was collected from a smaller pool than the population.
Not a lot. After all, the sample sd is an estimate for the population sd.
Here's how you do it in Excel: use the function =STDEV(<range with data>). That function calculates standard deviation for a sample.
Milimetres and Centimetres.