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I am so glad to become a member. I am a document preparer and PDFfiller makes it so much easier . I love it, especially because you can upload your own forms. Great.
2015-02-25
Excellent product never had an issue so can't tell you what support is like. Upload, fill and print
Quick and easy to work with. Have used other pdf products and this is best for the price.
Easy of use and no software to download. Cloud storage is great my documents are all stored where I know they are for future modifications.
Worry about encryption and security of stored documents but most of my work is not confidential so that is one reason I use it.
2017-11-14
I've been using PDFfiller regularly for over 2 years now, and it works wonderfully. I'm able to upload documents, add fillable lines, and get electronic signatures seamlessly. Customer service is also great - prompt and friendly in attending to any questions or issues. Makes running my business that much easier.
2022-05-05
I've been using PDFfiller regularly for over 2 years now, and it works wonderfully. I'm able to upload documents, add fillable lines, and get electronic signatures seamlessly. Customer service is also great - prompt and friendly in attending to any questions or issues. Makes running my business that much easier.
2022-05-05
Dee was awesome!
Dee was awesome! helped me out in an intricate issue that needed urgent resolution. Patient with me throughout the whole process and very helpful.
2021-02-16
Only use quarterly for one customer, would attend/watch a webinar or tutorial to make it more user friendly and see if it would work with other customers
2021-01-20
I have found it extremely easy to use. I love that I have the ability to make my own notes and highlight passages. I also love that it is an extremely environmentally friendly option to note taking/making. Thank you!
2020-10-07
This site made dealing with PDF files…
This site made dealing with PDF files so much easier. Thank you for allowing a free trial during such a trying time in teaching.
2020-04-22
Good product for PDF edit
The product itself was great for my needs. Especially was useful the client support, the responce was swift and satisfactory.
2025-02-21
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How do you know when to remove outliers?
Trim the data set, but replace outliers with the nearest good data, as opposed to truncating them completely. (This called Winterization.) Replace outliers with the mean or median (whichever better represents for your data) for that variable to avoid a missing data point.
Is it necessary to remove outliers?
Given the problems they can cause, you might think that it's best to remove them from your data. But, that's not always the case. Removing outliers is legitimate only for specific reasons. It's essential to understand how outliers occur and whether they might happen again as a normal part of the process or study area.
How do you get rid of outliers?
Identify the point furthest from the mean of the data. Determine whether that point is further than 1.5×IQR away from the mean. If so, that point is an outlier and should be eliminated from the data resulting in a new set of data.
Why would you not remove outliers from a data set?
Third you may have a very small data set and the model you choose is greatly affected by the outliers. In this case you must be careful because the outcome is significantly different if outliers are included. If the outliers don't reflect reality because they are mistakes then delete them.
What happens when an outlier is removed?
Outlier An extreme value in a set of data which is much higher or lower than the other numbers. Outliers affect the mean value of the data but have little effect on the median or mode of a given set of data.
When should you exclude outliers?
If you drop outliers: Don't forget to trim your data or fill the gaps: Trim the data set. Set your range for what's valid (for example, ages between 0 and 100, or data points between the 5th to 95th percentile), and consistently delete any data points outside the range.
How do you determine outliers?
A point that falls outside the data set's inner fences is classified as a minor outlier, while one that falls outside the outer fences is classified as a major outlier. To find the inner fences for your data set, first, multiply the interquartile range by 1.5. Then, add the result to Q3 and subtract it from Q1.
How do you identify and remove outliers?
Identify the point furthest from the mean of the data. Determine whether that point is further than 1.5×IQR away from the mean. If so, that point is an outlier and should be eliminated from the data resulting in a new set of data.
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