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2015-11-30
The program interface is OK but it could be a little more iterative. A form I was completing for the TSP TP77 and the TP76 did not place the letters and numbers (characters) in the exact center of each box making the document a little harder to read. I know this for sure because I have completed the same document using TSP website filler with the document are available. This would be easy for the company to fix this but they check their forms before making them available.
But the overall online forms filler program works well and saves completed forms easily and has a generous library.
2019-06-05
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Quick way to complete forms and sign documents in today's electronic world.
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This software has saved me a tremendous amount of time. Can't imagine operating without it!
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Saves time. Saves money. Both make me happier!
2019-05-29
Positive review
It is so much easier to get my scholarships done. I hate writing on my scholarships, so I was having to completely retype the application which was taking time from me filling them out.One suggestion would be to do a student discount, like in my case using it for scholarships. A way to do this could be they have to enter there school and get a school code from someone and then that could verify they are a student so the company is not getting taken advantage of.
2020-03-22
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2023-11-10
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2023-02-07
Was able to use site, but site is not mobile-friendly
I tried using this site on my mobile phone and would recommend only using a PC; the site is not mobile friendly. Otherwise after some effort I was able to upload, electronically sign, and send a PDF document.
2022-09-25
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2022-02-02
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How do you convert skewed data in R?
square-root for moderate skew: sort(x) for positively skewed data, log for greater skew: log10(x) for positively skewed data, inverse for severe skew: 1/x for positively skewed data. Linearity and heteroscedasticity:
Why do we do log transformation?
The log transformation can be used to make highly skewed distributions less skewed. This can be valuable both for making patterns in the data more interpretable and for helping to meet the assumptions of inferential statistics. Figure 1 shows an example of how a log transformation can make patterns more visible.
How do I convert left skewed data in R?
3:46 7:48 Suggested clip Transforming a left skewed distribution using natural log and square YouTubeStart of suggested client of suggested clip Transforming a left skewed distribution using natural log and square
How do you convert a distribution to a normal distribution?
1:05 5:39 Suggested clip How to Convert to a Standard Normal Distribution — Business YouTubeStart of suggested client of suggested clip How to Convert to a Standard Normal Distribution — Business
How do you back transform log data?
For the log transformation, you would back-transform by raising 10 to the power of your number. For example, the log transformed data above has a mean of 1.044 and a 95% confidence interval of ±0.344 log-transformed fish. The back-transformed mean would be 101.044=11.1 fish.
When should you log transform data?
The log transformation can be used to make highly skewed distributions less skewed. This can be valuable both for making patterns in the data more interpretable and for helping to meet the assumptions of inferential statistics. Figure 1 shows an example of how a log transformation can make patterns more visible.
How do I back transform log in Excel?
0:33 2:38 Suggested clip How to use the LOG10 (Log Transformation) function in Excel YouTubeStart of suggested client of suggested clip How to use the LOG10 (Log Transformation) function in Excel
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