ANOVA results-1

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Indiana University, Bloomington *

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113

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Biology

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Dec 6, 2023

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docx

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Uploaded by BaronSalmonPerson1029

Figure 1: Class Average for each condition Class averages 0 sec 60 sec 90 sec 120 sec No SPF 358 437 293 283 15 SPF 434 488 454 517 50 SPF 582 588 614 457 100 SPF 647 706 658 810 Figure 2: ANOVA results per each exposure time 0 second exposure all treatments ANOVA Results: F value = 0.679, P-value = 0.5795. Null Hypothesis is not rejected (accepted). There is no statistical difference between any of the SPF treatments for UV light protection for Yeast. 60 seconds exposure all treatments ANOVA Results: F value = 0.525, P-value = 0.6720. Null Hypothesis is not rejected (accepted). There is no statistical difference between any of the SPF treatments for UV light protection for Yeast. 90 seconds exposure all treatments ANOVA Results: F value = 0.764, P-value = 0.5331. Null Hypothesis is not rejected (accepted). There is no statistical difference between any of the SPF treatments for UV light protection for Yeast. 120 seconds exposure all treatments ANOVA Results: F value = 0.781, P-value = 0.5239. Null Hypothesis is not rejected (accepted). There is no statistical difference between any of the SPF treatments for UV light protection for Yeast.

What does this mean? Well based off our experiment the different sunscreen SPF values offer no better protection compared to not using sunscreen. A boring result, but think about the experiment and possible limitations we had. Do you think counting was done correctly, is the fact that we had 9 groups instead of 10 an issue for the analysis, were yeast plated correctly, did your plates grow uniformly or no at all, could we have ran this experiment again with more plates to have a higher sample size, etc. Keep in mind that yeast cells are not the same as skin cells so while the main take away from this experiment may seem that sunscreen doesn’t work; it’s possible that the answer could be sunscreen doesn’t work for yeast.

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