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2015-01-13
IT WAS VERY USEFUL TOMUSE. I WAS ABLE TO SEND MAILPIECE TO MY RECEIVER. IT WAS OKAY BUT THERE WERE MINOR ISSUE AS TO UPLOADING THINGS I WANTED TO FAX OR TO SEND OVER IT WAS A COMLPLICATION WITH THAT.
2018-10-19
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2019-02-22
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2019-07-15
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I like the most is you can process all the documents in computer no need to print any paper, save time, save money and save our environment.
What do you dislike?
I do not like it is the soft ware does not allow to edit Chinese fonts, I wish that Chinese can be edited too. That will be greatest function.
Recommendations to others considering the product:
Already recommended to my team.
What problems are you solving with the product? What benefits have you realized?
working with global colleagues at the same time on line, no need to print any paper.
2018-12-21
PDF filler- Great for client invoices and forms
Great time and paper saver. Allows me to send forms write through email and receive them back.
An easy to use option for clients to enable transfer of information without needing to print and scan documents.
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2019-09-24
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2022-09-22
Words Justification can not be done.
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How do you standardize data formula?
Subtract the mean,, from the value you want to convert, X. Divide the result from Step 1 by the standard deviation,.
How do you standardize data?
Subtract mean and divide by standard deviation: Center the data and change the units to standard deviations. Subtract mean: Center the data. Divide by standard deviation: Standardize the scale for each variable that you specify, so that you can compare them on a similar scale.
How do you standardize?
Subtract the mean,, from the value you want to convert, X. Divide the result from Step 1 by the standard deviation,.
How do you standardize data by hand?
Subtract mean and divide by standard deviation: Center the data and change the units to standard deviations. Subtract mean: Center the data. Divide by standard deviation: Standardize the scale for each variable that you specify, so that you can compare them on a similar scale.
How do you standardize a sample mean?
We subtract off the mean of X, which is, and divide through by the standard deviation of X, which is n, to obtain a standardized version of the sample mean: X/n.
How do you standardize normal?
When you standardize a random variable, its mean becomes zero and its standard deviation becomes one. Therefore, if the Z score of x is zero, then the value of x is equal to the mean. If the Z score of x is one, then the value of x is one standard deviation above the mean.
What formula do we use to standardize a value?
Step 1: Identify the observation (X), the mean () and the standard deviation () in the question. Step 2: Plug the values from Step 1 into the formula: Standardized value = X / = 520 420 / 50.
How is standardized value calculated?
X: the observation (a specific value that you are calculating the z-score for). Mu(): the mean. Sigma(): the standard deviation.
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