Calculating The Mean, Standard Error, and Standard Error of the Mean

AI Thread Summary
Calculating the mean and standard error of a data set requires inputting the data into a calculator or software, as there is no shortcut to avoid entering the numbers. The mean is found by summing all entries and dividing by the total count. For standard error, one must understand the sample mean and how to select a representative sample from the data set. While some humor was expressed about writing numbers down, the reality is that some form of data entry is necessary for accurate calculations. Ultimately, using a device or software is essential for efficient computation.
Gogsey
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Hi,

How do you calculate the Mean and standard error of a data set without having to crunch all the numbers?

I have a set of data with 45 entries and numbers in the tens of thousands and was wondering if there was a way to calculate these without have to punch hundreds of number into a calculator.

I know there is the sample mean and standard error but how do you pick a sample of data that will give you an accurate answer?
 
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Gogsey said:
I have a set of data with 45 entries and numbers in the tens of thousands and was wondering if there was a way to calculate these without have to punch hundreds of number into a calculator.
Sure. Just get a big piece of paper and a pencil and write all the numbers down. Add the up and divide by how many there are. That will give you the mean of your set of numbers.

I'm being facetious. If you're going to have a device do the arithmetic for you, you're going to have to enter the numbers into the device some way.
 
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