ANOVA results-1
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Indiana University, Bloomington *
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113
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Biology
Date
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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