Visually examining distributions and reading the output of descriiptive statist

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Visually examining distributions and reading the output of descriiptive statistics is an important skill for determining which statistical procedures are appropriate. For this discussion, you will need to complete the assignment before posting your original response.
After generating descriiptive statistics and a histogram from your data, share a screenshot of the sheet in your post and develop an original response guided by these questions:
How does the histogram look? Does it look skewed one way or another? Can you visualize its kurtosis – is it flat or peaked?
How does the visual of the histogram chart compare to the values that were calculated in the descriiptive statistics?
Does the histogram, at least visually, look like a normal distribution (bell curve)?
Note that each student’s histogram and descriiptive statistics should be unique because the data were randomly generated.
In this open-ended discussion, designed to generate a free flow of ideas, no APA citations are required. Comment on the original responses of at least two classmates.

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