=stdev(...) will return the N-1 weighted sample standard deviation.
=stdevp(...) will return the N weighted population standard deviation.
You cannot because the standard deviation is not related to the median.
You calculate the standard error using the data.
The answer depends on what functions are built into your calculator. Read the calculator manual.
Your middle point or line for the plot (mean) would be 6.375. Then you would add/subtract 1.47 from your mean. For example, one standard deviation would equal 6.375 + 1.47 and one standard deviation from the left would be 6.375 - 1.47
I believe you are interested in calculating the variance from a set of data related to salaries. Variance = square of the standard deviation, where: s= square root[sum (xi- mean)2/(n-1)] where mean of the set is the sum of all data divided by the number in the sample. X of i is a single data point (single salary). If instead of a sample of data, you have the entire population of size N, substitute N for n-1 in the above equation. You may find more information on the interpretation of variance, by searching wikipedia under variance and standard deviation. I note that an advantage of using the standard deviation rather than variance, is because the standard deviation will be in the same units as the mean.
You cannot because the standard deviation is not related to the median.
No it is not correct.
You calculate the standard error using the data.
To properly incorporate the calculation of standard deviation into a lab report, first calculate the standard deviation of your data set using the appropriate formula. Then, include the standard deviation value in the results section of your report, along with any relevant interpretations or implications. Additionally, consider discussing the significance of the standard deviation in relation to the overall findings of your experiment.
The spread of a wavefunction can be calculated using the standard deviation, which measures how much the values in the wavefunction vary from the average value. A larger standard deviation indicates a greater spread of the wavefunction.
The formula for calculating uncertainty in a dataset using the standard deviation is to divide the standard deviation by the square root of the sample size.
You cannot because the median of a distribution is not related to its standard deviation.
Did you mean, "How do you calculate the 99.9 % confidence interval to a parameter using the mean and the standard deviation?" ? The parameter is the population mean μ. Let xbar and s denote the sample mean and the sample standard deviation. The formula for a 99.9% confidence limit for μ is xbar - 3.08 s / √n and xbar + 3.08 s / √n where xbar is the sample mean, n the sample size and s the sample standard deviation. 3.08 comes from a Normal probability table.
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.
The variance or standard deviation.
The standard deviation stretch is used to stretch the output values using a normal distribution. The result of this stretch is similar to what is seen by the human eye.
it can make your work easy 2 calculate....^_^ ^_^