Answer:
Wildebeest and Zebra.
Explanation:
Wildebeest and Zebra are the hunts which gives huge amount of energy and lowest cost of energy because Wildebeest gives 25000 available energy and 10000 energy cost to hunt and 15000 amount of energy remain while Zebra gives 170,000 while 55000 energy spend on the cost to hunt and 115000 is available energy to the lion that is enough for the lion per day energy requirements.
Answer:
temperatures in the atmosphere change with altitude
The answer would be "<span>Cyclins are proteins that regulate when and how often a cell divides". Cyclins belong to a family of proteins that control the progression of a cell through its respective cell cycle. This is initiated by activating cyclin-dependent kinase (CDK) enzymes which regulate </span>transcription of RNA and process mRNA during mitosis.
The answer is omnivores.All these species are omnivores. Omnivores are animals that eat both either animals and plants. Some species of cricket are known to eat some plant materials and small insects. Robin eats mostly fruits and berries, but also worms and insects. Raccoon eats nuts, berries, fruits, fish, frogs, insect, mice, rabbits and other small animals.All this classifies them as omnivores.
Answer: probability is used to predict the chance that an event is likely to occur at a particular chosen level of significance.
Null hypothesis is accepted in biology when the p value is less than 1%, statistically, when the value of p<0.01
Explanation:
Determing the significance level is decided by the researcher, often times, scientists commonly use the 0.05, 0.01, or 0.001 probability levels as cut-off values. For instance, in the example experiment, you used the 1% probability. Thus, P ≥ 0.01 can be interpreted to mean that chance likely caused the deviation between the observed and the expected values (i.e. there is a greater than 1% probability that chance explains the data).
If instead we had observed that P ≤ 0.01, this would mean that there is less than a 1% probability that our data can be explained by chance. There is a significant difference between our expected and observed results, so the deviation must be caused by something other than chance.
