answersLogoWhite

0

(0.6745 * Standard deviation)/ (n^1/2)

:)

User Avatar

Wiki User

14y ago

Still curious? Ask our experts.

Chat with our AI personalities

ViviVivi
Your ride-or-die bestie who's seen you through every high and low.
Chat with Vivi
EzraEzra
Faith is not about having all the answers, but learning to ask the right questions.
Chat with Ezra
DevinDevin
I've poured enough drinks to know that people don't always want advice—they just want to talk.
Chat with Devin

Add your answer:

Earn +20 pts
Q: How do you calculate the absolute probable error of the mean?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Statistics

What is a high percent error mean?

high percent error is the absolute value of something that is multiplied


What does mean absolute deviation indicates?

The mean absolute deviation for a set of data is a measure of the spread of data. It is calculated as follows:Find the mean (average) value for the set of data. Call it M.For each observation, O, calculate the deviation, which is O - M.The absolute deviation is the absolute value of the deviation. If O - M is positive (or 0), the absolute value is the same. If not, it is M - O. The absolute value of O - M is written as |O - M|.Calculate the average of all the absolute deviations.One reason for using the absolute value is that the sum of the deviations will always be 0 and so will provide no useful information. The mean absolute deviation will be small for compact data sets and large for more spread out data.


What is the formula of mean absolute deviation?

* * * * *No it is not.Step 1: Calculate the mean = sum of observations/number of observations.Step 2: For each observation, x, calculate deviation = x - mean.Step 3: Sum together the NON_NEGATIVE values of the above deviations.Step 4: Divide by the number of observations.That is the mean absolute deviation, not the rubbish given below!


How does one calculate the standard error of the sample mean?

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.


What does a high standard error mean?

It means theres a high amount of variation between the results used to calculate the mean value for a particular sample or experiment