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Generate 1000 data points normally distributed, with mean=x, and variance=y. Perform summary stat on the data points, explain stat metrics. Create density plot.
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Data Analyst
Marketer
General
Focus on using numpy.random.normal() for generation, pandas for summary statistics, and seaborn or matplotlib for visualization.
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Statistics question
Statistics questions assess your understanding of data analysis principles. Show your knowledge of probability, statistical inference, experimental design, and how you apply quantitative methods to interpret data and draw valid conclusions.