Answer – Extrapolation
Extrapolation is the estimation of a value or quantity beyond
a known data range based on a trend in the data<span> (in other words, deducing
unknown values from trends in the known data). While extrapolating, one </span>would
usually estimate the unknown data with the presumption that
existing trends in the known data will continue or that a current method will
remain applicable.
Answer:
The variable that does not rely on another variable. IVs can include time, weather, etc.
Explanation:
Answer:The predicted population of brain coral in a reef covering 120m² is ; ≈ 40
First step : Calculate the value of the default population density
Population density = population size (dive 1) / total area
= 4 / 12 = 0.33
Total area ;
∑ Area of each reef quadrant = length * width = 2 * 2 = 4m²
∴ Total area = 4 + 4 + 4 = 12m².
Final step : Determine the value of the predicted population of brain coral
Population density = ( predicted population ) / predicted area
0.33 = ( pp ) / 120m²
∴ Predicted population ( pp ) = 0.33 * 120
= 39.6 ≈ 40 brain corals
Hence we can conclude that the predicted population of brain coral is 40
Explanation:
B. Leaf cells. Because the rest aren’t right I think
Answer:
The main purpose of Negative staining is to study the morphological shape, size and arrangement of the bacteria cells that is difficult to stain. eg: Spirilla. It can also be used to stain cells that are too delicate to be heat-fixed. It is also used to prepare biological samples for electron microscopy.
Secondly, what are the limitations of simple staining? Disadvantages. It does not give much information rather than the morphological characteristics of bacteria. Through simple staining, we cannot classify a particular type of organism.
Regarding this, what is an example of a negative stain?
In a negative staining technique, an acidic, anionic dye is mixed with a cell sample. The dye changes the color of the background, not the cells, causing the cells to stand out. India ink is the classic example of a negative stain.
