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The day we received this assignment, I remembered that I happened to have had a particularly poor night's sleep the day previous, so that became the starter day for the data collection. Once I looked at the trend, I knew what kind of data misrepresentation I'd be going with - flawed extrapolation. In a moment of dark humour I found it very droll that the data predicted many nights of increasingly lengthier sleeping time, considering that nothing could be further from the truth. On one hand I wish I could have had more data to work with, yet on the other I know that having more days of the data would likely mess up the trend I was going for. I might have been able to sidestep that by strategically removing certain days from the bar graph, but it would be pretty obvious just looking from the day labels - it would have been easier to get away with it using weekday labels, but then I wouldn't have been able to obscure the alternative reasoning for the linear increase in sleep time as mentioned above. For some reason, I seem to think that more data means more convincing, more impressive - that, in itself, is probably another mental blip with regards to statistics and intuitive reasoning.

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