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# Do people that play instruments have longer hands than people that do not play instruments?

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Introduction

Does playing an instrument increase the length of your hand? Introduction Hand lengths vary all across the world. In all genders, ethnicities, there are always people with large hands and people with small hands. What factors cause the difference in length of hands? Instrument players tend to stretch their fingers more often for example when playing the piano your fingers must stretch apart to play a chord. In this experiment we are studying whether playing an instrument is a main cause for the difference in hand size by taking measurements from the tip of the left middle finger to the wrist line. Question Do people that play instruments have longer hands than people that do not play instruments? Hypothesis If we compared the lengths of hands between boys in the 11th grade that do and do not play instruments then the people that play instruments would have longer hands because their fingers are stretched more often. We chose to limit it to boys to eliminate some chances of error since there is quite a difference between the size of boy's and girl's hands already regardless of whether they play instruments or not. ...read more.

Middle

Make a graph of your data in the form of a frequency table. Show the distribution of your data so that you can determine if you have a normal distribution or not. As shown in this graph, the mean of hand lengths for people that play instruments is significantly higher than people that do not play instruments. However if we take into account the uncertainty then there really isn't too big of a difference. If not considering the uncertainty then this graph would support the hypothesis. Frequency table for instrument players Interval Tally Frequency 17.0 - 17.4 0 17.5 - 17.9 1 18.0 - 18.4 3 18.5 - 18.9 4 19.0 - 19.4 6 19.5 - 19.9 2 20.0 - 20.4 1 20.5 - 20.9 1 21.0 - 21.4 2 Frequency table for non-instrument players Interval Tally Frequency 17.5 - 17.9 1 18.0 - 18.4 0 18.5 - 18.9 3 19.0 - 19.4 3 19.5 - 19.9 1 20.0 - 20.4 1 As you can see from the graph, although it is a little skewed on the right side it seems pretty close to a normal distribution. ...read more.

Conclusion

Evaluation There were many factors that could have caused our data to be inaccurate. One that we had tremendous problems on was determining whether they play an instrument or not since some people used to play instruments or some just began playing an instrument. Another one was the wrist line, there are more than one wrist line while for some people there was one that was more obvious some people had relatively similar wrist lines so it was hard to choose which one to measure from. Another possible source of error was the ruler. I and my partner each had a ruler and although they looked very much similar there may be minor differences between the intervals on the ruler. In order to improve this experiment we could instead measure with the same ruler to eliminate some chance of error. We could also choose a more visible point to measure from since the wrist lines vary. Finally, and most importantly, we could create a set of guidelines that would determine whether this person would fall into the instrument category or non-instrument category. ?? ?? ?? ?? 1 | Page ...read more.

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