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Getting acquainted with it. Pretty good. Would be a big help to be able to copy and paste whole cell entry(e.g., multiple-line entry within a cell) into another cell. Also, clumsy toggling between a p.1 and p.2 of a device - several interruptions to tell me the document was being edited.
2015-04-15
Very Quick, saves me a lot of time. I regularly get pdf's that need to be completed and sent back. Now I can upload, fill out and return in a fraction of the time. Since the data is typed, I never get a question about what I wrote.
2015-10-15
Pretty easy to figure out - the videos are helpful. I missed the Add Fillable Fields part and I am trying to figure that out. Support Chat was helpful. This is my first attempt to use Send to Sign
2016-12-07
so far ease of use seams to be the direction this system is built on. I would love to see more controls to authorized users and an auto save feature from original templates after and before fill. over all I love how going paperless is very easy to use
2018-04-25
This app was user friendly and able to…
This app was user friendly and able to change any part of a downloaded document, Email it directly and I was extremely satisfied.
2020-02-16
All trials have been very satisfactory. It has been easy to learn the use of the various features. Especially the relatively small size of the ready documents is appreciated.
2022-02-01
where has this been all my life
where has this been all my life. i'm 20 minutes into download, clicked buy, installed laptop & cell. already created two forms & makes my time with older versions of fillable PDF generator programs seem like a million years ago.
2020-09-22
Very easy to use, being an assistant and constantly filling out reports for the State, it is nice to have something that works so easily and is consistent in its responses.
2020-09-03
I signed up originally to utilise this service. Whilst I did not wish to continue with the service (just wouldnt need it again) I did struggle to cancel the service. I sent an email outlining my issue and got the quickest response back and my account fixed and funds returned. Great service if you do require all the time. Easy to use. Highly recommend.
2020-07-25
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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 standard deviation?
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.
How do you standardize numbers?
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 calculate standardization?
Subtract the mean (6 4 = 2), Divide by the standard deviation. Your standardized value (z-score) will be: 2 / 1.2 = 1.7.
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 raw scores?
Each judge's scores are standardized by scaling them to have a mean of 0 and a standard deviation of 1. To do so, the average score is subtracted from the raw score and then divided by the standard deviation. Once the scores are standardized for each judge, the average score for each submission is calculated.
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.
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