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Generating sample data to represent a population is key for many types of analyses! In this workflow, we have a list of 1000 people and we want to simulate a a test score for each person. For each person, randomize a score for the exam, but we're not going to make it that easy!
You'll need to generate the simulated scores under these conditions:
1) The lowest possible test score is a 50%, while the highest is a 90%
2) The simulated score must be 'randomly' generated as a normal distribution, where the population mean is 70%.
3) After creating the simulated test results, build a chart view to prove you have achieved a 'random' normal distribution by binning each score to the nearest point.
Stuck? Hint 1
Mine looks a lot like the picture - first time using this tool!