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Chuck B
2018-03-04
I write reports for evaluations. Litigation has mandated that these reports be quite extensive. Handwriting them took hours. Scanning the forms into a pdf and allowing me to edit them is immeasurably helpful to maintaining my sanity.
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Bobby H
2019-10-29
Easy to use, great feedback. Only wish there were more features built in. I've given feedback on how adding field to a form should have built in guides that you can place, then drop and snap to. Another great feature would be to allow these fields to move with the arrow keys so when you don't want it to snap to position, you can manually adjust to make exact. Also, it would be nice to see the text fields with faded text so we can see how many letters we can fit without having to save and test it ourselves. I could probably give more feedback but maybe I should send in my job application first? lol
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There are three methods you can use to find the spread in a data set: range, interquartile range, and variance. Range is the difference between the highest and lowest values in a data set. You can find the range by taking the smallest number in the data set and the largest number in the data set and subtracting them.
Measures of spread describe how similar or varied the set of observed values are for a particular variable (data item). Measures of spread include the range, quartiles and the interquartile range, variance and standard deviation.
Why is it important to measure the spread of data? A measure of spread gives us an idea of how well the mean, for example, represents the data. If the spread of values in the data set is large, the mean is not as representative of the data as if the spread of data is small.
The simplest measure of spread in data is the range. It is the difference between the maximum value and the minimum value within the data set. In the above data containing the scores of two students, range for Arun = 100-20 = 80. Range for John = 80-45 = 35.
Three main measures of dispersion for a data set are the range, the variance, and the standard deviation.
In statistics, dispersion (also called variability, scatter, or spread) is the extent to which a distribution is stretched or squeezed. Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range.
Measures of spread describe how similar or varied the set of observed values are for a particular variable (data item). Measures of spread include the range, quartiles and the interquartile range, variance and standard deviation.
A measure of spread, sometimes also called a measure of dispersion, is used to describe the variability in a sample or population. It is usually used in conjunction with a measure of central tendency, such as the mean or median, to provide an overall description of a set of data.
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