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I utilize the feature for certificates of insurance. It’s very nice to have the mobile app to be able to use that when I’m on the go .
What do you dislike?
The way it saves documents or re-saves them or use as a template is very confusing . And not all of the options on the desktop version are also available on the mobile version .
What problems are you solving with the product? What benefits have you realized?
Certificates of insurance
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How do you determine the shape of a distribution?
The shape of a distribution is described by its number of peaks and by its possession of symmetry, its tendency to skew, or its uniformity. (Distributions that are skewed have more points plotted on one side of the graph than on the other.) PEAKS: Graphs often display peaks, or local maximums.
What are the 8 possible shapes of a distribution?
Classifying shapes of distributions. Classifying distributions as being symmetric, left skewed, right skewed, uniform or bimodal.
Why is the shape of a distribution important?
Why are measures of shape useful? The shape of the distribution can assist with identifying other descriptive statistics, such as which measure of central tendency is appropriate to use. If data are skewed, the median may be a more appropriate measure of central tendency.
What are the different shapes of a data set?
The four ways to describe shape are whether it is symmetric, how many peaks it has, if it is skewed to the left or right, and whether it is uniform. A graph with a single peak is called unimodal. A single peak over the center is called bell-shaped. And, a graph with two peaks is called bimodal.
What is the shape of the most probability distribution?
The normal distribution is fully characterized by its mean and standard deviation, meaning the distribution is not skewed and does exhibit Kurtis. This makes the distribution symmetric, and it is depicted as a bell-shaped curve when plotted.
What are the different shapes of data distribution?
Here, we'll concern ourselves with three possible shapes: symmetric, skewed left, or skewed right. Definition. For a distribution that is skewed left, the bulk of the data values (including the median) lie to the right of the mean, and there is a long tail on the left side.
What is the shape of the data distribution?
The shape of a distribution is described by its number of peaks and by its possession of symmetry, its tendency to skew, or its uniformity. (Distributions that are skewed have more points plotted on one side of the graph than on the other.) PEAKS: Graphs often display peaks, or local maximums.
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