Exercise 2: The Tools of Scientific Inquiry NAME_____________________
| Common Name | Scientific Name | # of specimens (group data) | # of specimens
(class data) |
| Keyhole limpet | Fissurella volcano | 2 | 18 |
| Black Turban snail | Chlorostoma funebralis | 14 | 150 |
| Brown Turban Snail | Chlorostoma brunnea | 10 | 95 |
| Periwinkle | Littorina scutulata | 19 | 175 |
| Periwinkle | Littorina keenae | 12 | 100 |
| Green chiton | Cyanoplax hartwegii | 0 | 1 |
| Whelk | Acanthinucella spirata | 0 | 8 |
| Brown Top Snail | Calliostoma ligatum | 6 | 45 |
| Whelk | Nucella emarginata | 0 | 5 |
| Whelk | Nucella ostrina | 1 | 1 |
Question 1) How many different species of molluscs were present in your group’s collection?
Question 2) How did the species you had in your collection compare to species found in collections of the other groups? If there were differences, why do you think that was the case?
Question 3) Are there any species that appear to be more highly represented than others? Why do you think that might be the case?
Activity 2
Table 2: Mollusc length measurements (millimeters) (Black Turban Snail)
| 15 | 23 | 13 | 23 | 22 |
| 29 | 23 | 24 | 19 | 24 |
| 16 | 27 | 28 | 19 | 16 |
| 24 | 27 | 22 | 18 | 30.0 |
| 24 | 14 | 12 | 18 | 26 |
| 30 | 23 | 28 | 23 | 23 |
| 24 | 23 | 28 | 22 | 24 |
| 25 | 16 | 23 | 18 | 31 |
| 28 | 28 | 22 | 23 | 29 |
| 27 | 17 | 18 | 23 | 14 |
Question 1) Describe the distribution of sizes of the species of mollusc that you measured. Are all of the sizes evenly distributed? Or are certain sizes more highly represented? Why do you think this might be the case?
| Sample | Length (mm) | Weight (grams) |
| 1 | 14 | 1.38 |
| 2 | 16 | 1.62 |
| 3 | 18 | 1.80 |
| 4 | 22 | 2.25 |
| 5 | 23 | 2.31 |
| 6 | 24 | 2.38 |
| 7 | 25 | 2.47 |
| 8 | 27 | 2.76 |
| 9 | 29 | 2.91 |
| 10 | 30 | 3.22 |
Don’t forget to turn in Activity 5 below. You can add to this document by simply adding it below. Additionally, you can put all of your graphs on a single document and upload it along with this Skill Check Worksheet; it will save a lot of uploads.
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