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2014-06-30
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It popped up along with a State of FL form that I needed to complete. I'm annoyed that they didn't tell me right from the start that you could only use it with a paid prescription.
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2017-04-25
I use it for filling out work related forms. The forms look much better when filled out online rather than writing in all of the data. I'm able to save a copy online or on my computer, rather than filing a hard copy. It's very convenient and the forms look good too.
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Works fast and easy Works fast and easy, great service!I had signed up very briefly to edit some pdfs for work. The program worked smoothly, but then I foolishly forgot to end my membership, and was billed for a years' worth of their service, which I did not need. Their customer support was top-notch and had my problem resolved in just a few minutes. I'd recommend them for anyone looking for a company that is responsive to their customers.
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Descriptive statistics are used to describe or summarize data in ways that are meaningful and useful. For example, it would not be useful to know that all the participants in our example wore blue shoes. Central tendency describes the central point in a data set. Variability describes the spread of the data.
Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire or a sample of a population. Descriptive statistics are broken down into measures of central tendency and measures of variability (spread).
The main purpose of descriptive statistics is to provide a brief summary of the samples and the measures done on a particular study. Coupled with a number of graphics analysis, descriptive statistics form a major component of almost all quantitative data analysis.
Descriptive statistics uses the data to provide descriptions of the population, either through numerical calculations or graphs or tables. Inferential statistics makes inferences and predictions about a population based on a sample of data taken from the population in question.
Descriptive statistics help us to simplify large amounts of data in a sensible way. Each descriptive statistic reduces lots of data into a simpler summary. For instance, consider a simple number used to summarize how well a batter is performing in baseball, the batting average.
Descriptive statistics are usually used in presenting a quantitative analysis of data in a simple way. In a study, there are quite a number of variables that are usually measured. Therefore, descriptive statistics comes in to break this numerous amounts of data into a simple form.
Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire or a sample of a population. Descriptive statistics are broken down into measures of central tendency and measures of variability (spread).
Step 1: Describe the size of your sample. Step 2: Describe the center of your data. Step 3: Describe the spread of your data. Step 4: Assess the shape and spread of your data distribution. Compare data from different groups.

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