The logistic model incorporates carrying capacity to make the model exponential Odensity-dependent random Odensity-independent

Upon comparing the mass of Fuji apples grown on two farms in Georgetown, KY--one using organic fertilizer and a neighboring farm using commercial fertilizer, the a research program commissioned by the USDA finds that the mean mass of organically and commercially grown apples are 224.2 g and 224.6 g, respectively. The standard error for both means is 0.015 g. The statistical test obtained by comparing the mass of several thousand apples from each farm (organic: 6,000, commercial: 78,000) produced a p-value of 0.001. What is correct interpretation of the results? The apples from the non-organic apples tend to be heavier than organic apples. There is no discernible difference in the mass of apples grown on both farm; this is supported by the statistically significant P-vale of 0.001. O Apples from the commercial farm were heavier than those from the organic farm, and this difference is statistically significant. O The difference in mass of apples from the two farms is negligible.

I have a large number for my standard deviation. What does this tell me about the variability in my data? Select one: the variability is just right the variability is low the variability is high more data is needed

Can you explain the answers and the advanatges of the Lineweaver-Burk Graph vs. Michaelis-Menten?