a. The degrees of freedom were 6.
c. The calculated chi-square value is 79.23. d. Our results indicate that it was not chance that caused the unequal number of capture wooly worm phenotypes. The calculated chi-square value is high enough to suggest that there was definite reason, primarily color, that some worms were picked over others. e. The darker colored worms, the greens and browns, were subject to a positive selection pressure as they blended in with the grass and dirt. The bright colored worms, the reds and rainbow colored ones, were subject to a negative selection pressure because they stood out against the dark colored ground. f. These results indicate that over time, the darker colored worm population would grow while the bright colored worm population would disappear as they are sought out more. g. In terms of ability to see color and vision acuity, predatory birds are more likely to select worms that stand out from the surroundings. This means that if the ground or area in general is dark, the lighter colored worms will be more sought out and vice versa. In terms of feeding time and feeding habits, the color of worms that will be sought out will be dependent on whether the bird feeds in the day time or the night time. h. Considering the school grounds on which we "fed", the population of brighter colored worms would disappear over time, leaving the darker colored worm population to thrive and increase. Because the red and rainbow colored worms were easier to see, they were sought out much more than the green and brown colored ones. If this continued for ten years, the greens and browns would likely be all that was left.
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1. Identify the parking lot that was the most diverse. Based on your observations during the lab, explain why your prediction in question #1 of the prelab was supported or not supported. The student parking lot was more diverse. This supported my prediction. 2. List the single most abundant species in each set of data, and write a plausible explanation to explain why these are the most abundant species. The most abundant species were 14 Fords in the staff parking lot and 21 chevys in the student parking lot. These were the most abundant because we live in the Central Valley where agriculture is heavily relied on, where many people live and work on farms, and where trucks would aid in that sort of industry. 3. Determine the maximum and minimum values for the Shannon Diversity Index in the parking lot you surveyed. The student parking lot had the maximum Shannon Diversity Index of 2.36 and the staff parking lot had a minimum Shannon Diversity Index of 2.345. 4. If you conducted this lab in a shopping mall parking lot, predict whether the Shannon Diversity Index would be high or low, and how it would compare to the school parking lots. If we conducted this lab in a shopping mall parking lot, the Shannon Diversity Index would be high, and probably higher than the school parking lots. This is because, a large diversity of people shop at the mall and would probably have many different tastes and needs for cars. 5. If you conducted this lab at a new car dealership, predict whether the Shannon Diversity Index would be high or low, and how it would compare to the school parking lots. If we conducted this lab at a new car dealership, the Shannon Diversity Index would be low, and probably much lower than the school parking lots. This is because most car dealerships sell mostly one brand of car. I found this interesting because compared to 2000, there are larger portions of the oceans with sea surface temperatures in the 90s. I wonder why the Arabian sea heated up so much since 2000. I find this so shocking because almost all of the United States has some sort of dryness or drought. I wonder what was happening in the summer of 2012 to cause this. I find this interesting because it shows that California received quite a bit of rain in January and March of 2016 and I remember it distinctly being a rainy winter and spring. I wonder what caused such a rainy season for us Californians, especially since we had recently had a major drought. I found this interesting because in October of 2015, when Fall and colder weather should be approaching, around half of the United States is warmer than normal. I wonder what caused this to occur. I found this interesting because one can see a definite increase in the ocean's heat content from 2000-2016. This is likely due to global warming and increased CO2 entering the oceans. Darn fossil fuels.
Turlock's population is stable to declining slowly. I think this is happening because Turlock is constantly growing as more people move here.
New York's population is declining, but expanding slowly in the "Under 5 years" range. I think this is happening because there is a large range of "25-29 years" who are now having kids.
Boise's population is stable. I think this is happening because it is a rather small city whose citizens have no incentive to not have children, and who are not seeing anything out of the ordinary in terms of emigration or immigration.
Seattle's population is declining. I think this is happening because this area is very tech-based and the adult population there is not looking to have kids.
Orlando's population is slowly declining to slowly expanding. I think this is happening because Orlando is such a busy, touristic city with so many different industries thriving that nobody has time to raise a child.
Juneau's population is stable. I think this is happening because the city does not have a large road network so that people can easily come in and out of the city.
Portland's population is slowly declining to slowly expanding. I think this is happening because Portland's geography has made it hard to settle and start families in the past years.
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