Answer:
Likewise, logistic growth (that's what the problem is called, the logistic curve is the variable that moves between the Y and X axes) is a refinement of exponential growth.
Explanation:
The exponential function is a valid model for continuous growths or decreases in which the conditions are always equally favorable: increase of the capital entered into a bank, disintegration of radioactive substances ... The populations of living beings begin to grow according to an exponential curve but if there are no catastrophes, they invade their vital space and, due to the limitation of food, etc., their growth is cushioned, not exceeding their limit population. This type of increase, dampened by a saturation level is called logistic growth.
The central nervous system is a wide network of neurons which transmits signal to each other through synapses. These are all electrochemical reactions that occur in the brain and the spinal cord.
There are three types of neurons according to their functions. The sensory neurons are responsible to carry all signals from the rest of the body to the brain. On the other hand, motor neurons carries signals from the brain to the outer parts of the body. The third type is called the associations nerves which connect signals between the sensory and motor neurons.
When new evidence is discovered, scientists must adjust the scientific ideas to account for all known evidence. This is because, the process makes the scientific knowledge even more durable. Continuous discovery and updating is the essence of science, new discoveries are used to refine the old ones. <span />
Answer: Precise measurements are important for Scientific Accuracy in order to get correct results
Explanation:
Precision is how close the Agreement is between repeated measurements under the same conditions. For example, if a measured value 36.7cm has three digits, or significant figures. Significant figures indicate the precision of a measuring tool that was used to measure a value
Accuracy is how close a measurement is to the correct value for that measurement.
When taking scientific measurements it is very important to be both precise and accurate. Bad equipment, human error can give inaccurate results.
