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Great experience, very useful at filling forms in PDF. Even the ability to include a signature and save documents.
Very pleased and impressed with your tech support. Outstanding experience over all.
2017-08-18
This is a good program, but it could be more user friendly. Copying the edited PDF from the online program to my desktop was more difficult than it should have been.That said, I was able to accomplish what I wanted via this program.
2018-09-22
This software is much better than any other our company has tried. We became frustrated with our previous form filling software and therefore decided to try PDFfiller. So far, it is working great!
2019-02-26
I tried pdffiller and was very…
I tried pdffiller and was very impressed with the platform. It was relatively simple to operate. I would recommend this site.
2020-03-24
I couldn't find new forms to download…
I couldn't find new forms to download from within the app but once I did find them online they were easy to work with
2019-03-14
It was a great experience, but my business circunstances and after of loosing a big project I forcing me to cancel for now. Hopefully next year will be better and I hope I can comeback and use your app.
2023-11-15
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2022-09-29
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I like that PDF Filler is user friendly and it's easy to navigate. I love that I can create a template and then just fill in what I need to for each customer and we can send them a form digitally for them to sign.
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Occasionally customer's take a while to sign a document because they think it is spam.
Recommendations to others considering the product:
Easy to use program. Creat templates you can use over and over which is great!
What problems are you solving with the product? What benefits have you realized?
It's a fast, easy way to be able to send documents for our customers to sign without having to sign in person.
We have also been able to streamline some of our processes better by using PDF Filler to create documents.
2020-08-13
The application PDFfiller is excellent…
The application PDFfiller is excellent tool, I found the app very user friendly and their customer support is outstanding. I would highly recommend PDFfiller for anyone looking for a PDF editing tool at a very reasonable price point. Also, the app can be used virtually without limits as PDFfiller is a browser based solution, so as long as you have access to the internet you are good to go.
2020-06-29
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How do you tell if a normal probability plot is normally distributed?
A straight, diagonal line means that you have normally distributed data. If the line is skewed to the left or right, it means that you do not have normally distributed data. A skewed normal probability plot means that your data distribution is not normal.
How would you use a normal probability plot to assess normality?
To assess the normality of a variable using sample data, construct a normal probability plot. The plotted points fall along an imaginary straight line through (0,mean) If the plot is roughly linear, you can assume that the plot is approximately normally distributed.
How do you find the normal probability plot?
Arrange your x-values in ascending order. Calculate phi = (i-0.375)/(n+0.25), where i is the position of the data value in the. Ordered list and n is the number of observations. Find the z-score for each phi Plot your x-values on the horizontal axis and the corresponding z-score.
What is the best plot to check the normality of the given data?
A graphical tool for assessing normality is the normal probability plot, a quantile-quantile plot (HQ plot) of the standardized data against the standard normal distribution.
How do you draw a normal probability plot of residuals?
Sort the residuals into ascending order. Calculate the cumulative probability of each residual using the formula: P(with residual) = i/(N+1) Plot the calculated p-values versus the residual value on normal probability paper.
What does a probability plot tell me?
A normal probability plot is one way you can tell if data fits a normal distribution (a bell curve). With this type of graph, z-scores are plotted against your data set. A straight line in a normal probability plot indicates your data does fit a normal probability distribution.
How do you interpret a normal probability plot?
8:10 10:15 Suggested clip Normal Probability Plots Explained (Opening textbook supplement YouTubeStart of suggested client of suggested clip Normal Probability Plots Explained (Opening textbook supplement
How do you know if a probability plot is skewed?
It indicates that your distribution has: Right Skew — If the plotted points appear to bend up and to the left of the normal line that indicates a long tail to the right. Left Skew — If the plotted points bend down and to the right of the normal line that indicates a long tail to the left.
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