Answer:
Sending humans to other planets may cause danger. We dont fully know what these planets are capable of doing. If there is such a thing as life on other planets then we still dont know weather or not life there is friendly or not. They could be harmful, because just as we dont know know exactly who or what they are, they dont know who or what they are either, so its a high chance they may want to defend themselves.
Explanation:
Answer: Competitive
Explanation: They don’t hunt each other nor benefit from each other’s existence. Therefore, it’s most likely they compete for prey and survival.
Answer:
Homeostatic control mechanisms have at least three interdependent components: a receptor, integrating center, and effector. ... The integrating center, generally a region of the brain called the hypothalamus, signals an effector (e.g. muscles or an organ ) to respond to the stimuli.
Explanation:
<h3><u>Answer;</u></h3>
D) it lacks a nuclear membrane and resides inside the nucleus
<h3><u>Explanation;</u></h3>
- <em><u>Nucleolus is a type of cell organelle that is located in the nucleus of an tom. </u></em>Nucleus is the control center of an atom, it controls all the cellular activities taking place in the cell.
- <em><u>Nucleolus is made up of ribosomal RNA and proteins. The main function of the nucleolus is to assemble or formation of ribosomes. </u></em>Ribosomes are cell organelles that are found in the cytoplasm either attached on the endoplasmic reticulum or freely floating in the cytoplasm, where the process of protein synthesis takes place.
Imagine you are surveying a population of a mountain range where the inhabitants live in the valleys with no inhabitants on the large mountains between. If your sample area is the valleys, and you use this to estimate the population across the entire mountain range, <u>you overestimate the actual population size</u>
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Explanation:
- An estimate that turns out to be incorrect will be an overestimate if the estimate exceeded the actual result, and an underestimate if the estimate fell short of the actual result.
- The mean of the sampling distribution of a statistic is sometimes referred to as the expected value of the statistic. Therefore the sample mean is an unbiased estimate of μ.
- Any given sample mean may underestimate or overestimate μ, but there is no systematic tendency for sample means to either under or overestimate μ.
- Bias is the tendency of a statistic to overestimate or underestimate a parameter. Bias can seep into your results for a slew of reasons including sampling or measurement errors, or unrepresentative samples
