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Microbes Petri Dish Experiment (Lab Report)

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Microbes Petri Dish Experiment (Lab Report)

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  • September 2010
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Lab Report - Microbes

Aim: To investigate four areas of the school and to find out which of the four have the most microbes.

Areas to Sample:

1. Girl’s locker room (Senior school)
2. Girl’s locker room (Elementary school)
3. Boy’s locker room (Senior school)
4. Boy’s locker room (Elementary school)

Hypothesis:

We predict that the boy’s locker room in the senior school will have the most microbes. First of all, there are more people using our locker rooms in the Senior School than the elementary ones. The classes in the Elementary school are generally much smaller.

Also, pupils from the senior school are going through puberty and tend to sweat a lot more than little kids, especially the boys. Sweat glands also work more rapidly with boys going through puberty, as their hormone levels are beginning to increase.

During P.E classes, girls also are more reserved and are not as intense about sports during the day as the boys are. This is more of a social aspect than a scientific one, but is relatively true. On top of that, girls and boys generally have different standards when it comes to hygiene. Judging from personal experience, I would assume that girls tend to care more about their hygiene and aesthetics than boys do.

Lastly, the Senior School gym has been there for quite a long time. The elementary school is still relatively new, especially compared to the senior one. Therefore, I also would assume that the senior school gym would have more microbes than the elementary.

Variables:
Independent variables: The independent variable for this experiment will be the location/area in which we will take samples from (Senior School, Elementary School girls and boys locker rooms). Independent variables generally answer the question “What do we change?” In this case, we get to alter the areas in which we will be sampling from.

Dependent variables: Our dependent variable will be the number of microbes growing in an area. Dependent variables...