Answer:
D, which food will ants consume more of-corn meal or maple syrup?
Explanation:
This makes the most sense because she's trying to create better ant baits and has no use for finding out how long it takes the ants to eat them. She's searching for the food that attracts them the most.
Answer:
The Miller and Urey experiment is a well-known classic experiment in which hypothetical conditions of the early Earth's evolution were simulated to test the possibility of chemical evolution. In fact, this was an experimental test of the hypothesis previously expressed by Alexander Oparin and John Haldane that the conditions that existed on primitive Earth promoted chemical reactions that could lead to the synthesis of organic molecules from inorganic ones. It was held in 1953 by Stanley Miller and Harold Urey. The apparatus designed for the experiment included a mixture of gases corresponding to the notion of the composition of the atmosphere of the early Earth in the 1950s, and electric discharges passing through it (simulating lightning strikes on the ground). The Miller and Urey experiment is considered one of the most important experiments in the study of the origin of life on Earth.
Answer:
taiga, temperate deciduous forest, savanna
The average length of a specific dinosaur leg bone is 60 inches, with a standard variation of 3 inches. If a z-score is 0, then the length is 67.
Divide your data point by your standard error after taking your data point and subtracting the mean from it. How is the z-score determined? Z-scores are calculated using the formula z = (x-)/, where x represents the raw score, the population mean, & the population variation. The z-score is just the raw score less the population mean, split by the population variance, as the calculation demonstrates. You now have your Z-score. For instance, a scoring of 450 would equate a scores of (450-500)/100 (= -50/100 = -0.50 on a scale with a mean of 500 as well as a standard variation of 100, indicating that the scoring is half a variance below the mean.
Learn more about variation
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