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I was gonna select only 4 stars since I was having difficulty getting the app to do all that it claims, but since customer service was so great I had to add the additional star.
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2015-06-30
I used the program and was happy with the software and results. However, due to my own oversight I inadvertently made an annual purchase which I would not be in need of. I noted this in my comments when rating the app. To my surprise and complete satisfaction the service team provided me a credit. They went over and above in addressing my frustration. Based on this integrity and caring service I will use this program if needed in the future and will certainly recommend it to others.
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Sometimes have trouble "erasing" things on pdfs.
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This is a no-brainer as far as I'm concerned!
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All-in-one problem solver to save documents in different formats, send documents to be signed and have the ease of an eFax at a reasonable price.
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It is amazing how simple this app is to… It is amazing how simple this app is to use. It is a real joy. I wish I had stumbled upon it years ago!
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A reliable and quick to use PDF signing and editing platform Quick and easy signing for PDF forms, especially on mobile devices. PDFfiller is web-based, so it's easy for me to access on my phone if I need to quickly sign or edit a PDF file. Additional features in the paid subscription model (more editing options), would convince me to sign-up for the paid versions of the software.
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Time saving, great price, invaluable tool It makes billing time saving and easy Ease of uploading needed documents Ability not to have yo repeat type for claims Verifiable signatures and dates Saving .can be a bit confusing at first Too many tabs can be confusing Not always user friendly Not for a new computer user
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Good ease and making our life lot lot easier. unfortunately it will be good if companies can subscribe this platform instead we have to fork out money from our own pocket or subscription sharing.
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listen I appreciate your services and recommend it... listen I appreciate your services and recommend it to anyone based on their ability to process a financial authorization and so I didn't want PDF-filler to be discouraged but I'm sensitive to express I have to revisit your advisory environment some time after the year is up!
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Standardize Statistic License: make editing documents online a breeze

Document editing is a routine process for most people on a daily basis. There's a number of services out there that make it possible to change a Word or PDF document's content. Nonetheless, these options are applications and require taking up space on your device and affect its performance drastically. Online PDF editing tools are much more convenient for most people, however the vast part don't provide all the important features.

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X: the observation (a specific value that you are calculating the z-score for). Mu(): the mean. Sigma(): the standard deviation.
X: the observation (a specific value that you are calculating the z-score for). Mu(): the mean. Sigma(): the standard deviation.
Subtract the mean from the data for which you want a standard score. In the example, 28 minus 24 equals 4. Divide the difference between the data and the mean by the standard deviation. In the example, 4 divided by 5 equals a standard score of 0.8.
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.
Typically, to standardize variables, you calculate the mean and standard deviation for a variable. Then, for each observed value of the variable, you subtract the mean and divide by the standard deviation.
The formula for calculating the standard score is given below: As the formula shows, the standard score is simply the score, minus the mean score, divided by the standard deviation.
Subtract the mean from the data for which you want a standard score. In the example, 28 minus 24 equals 4. Divide the difference between the data and the mean by the standard deviation. In the example, 4 divided by 5 equals a standard score of 0.8.
Simply put, a z-score (also called a standard score) gives you an idea of how far from the mean a data point is. But more technically it's a measure of how many standard deviations below or above the population mean a raw score is. A z-score can be placed on a normal distribution curve.

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