QUESTION 1: Use the mean() function to find out the mean of the successful sample. Why do you think the Wired campaign suggested a mean of $10,000?
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QUESTION 2: Is the average failed campaign goal from 2016 significantly different from a goal of $10,000? Support your answer with your p-value and the mean of the failed campaign goals. (don’t forget to put your p-value)
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QUESTION 3: While Wired suggests that a 10,000 goal is most likely, other webpages suggest that a campaign of $10,000 or less is most likely – not a population with a mean of $10,000. Do your results suggest that this is true? Why or why not?
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QUESTION 4: One of the goals was to get rid of Kickstarter campaigns that weren’t actually real, but were jokes. What else could you filter out to get rid of fake campaigns from this dataset? Be specific (and talk about this data, not how you could collect better data). (Be specific – look at the sorts of things you would need to filter out!)
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