Answer:
The building blocks of proteins are amino acids, which contain elements such as H,N,O,C , and more. They are the monomers of the proteins. So, the monomer will be the amino acids, and the polymer will be the proteins themselves
Explanation:
Answer:
After the aphotic zone, there's complete darkness. From 1,000 meters below the surface, all the way to the sea floor, no sunlight penetrates the darkness
Explanation:; and because photosynthesis can't take place, there are no plants, either.
Answer:
These rings can tell us how old the tree is, and what the weather was like during each year of the tree's life. Because trees are sensitive to local climate conditions, such as rain and temperature, they give scientists some information about that area's local climate in the past.
Explanation:
Answer & Explanation:
First, correlation and causation both need an independent and dependent variable. An independent variable is a condition or piece of data in an experiment that can be controlled or changed. A dependent variable is a condition or piece of data in an experiment that is controlled or influenced by an outside factor, most often the independent variable.
If there is a correlation, then sometimes we can assume that the dependent variable changes solely because the independent variables change. This is where the debate between correlation and causation occurs. However, there is a difference between cause and effect (causation) and relationship (correlation). Sometimes these areas can be confused and muddled when analyzing data.
- You probably know that a correlation is the relationship between two sets of variables used to describe or predict information. There is an emphasis here on relationship. Sometimes we can use correlation to find causality, but not always. Remember that correlation can either be positive or negative.
A positive correlation, where the dependent variables and independent variables in a data set increase or decrease together. If the numbers sloped downward, then you have a data set with a negative correlation, where the dependent variables and independent variables in a data set either increase or decrease opposite from one another.
Whilst a negative correlation means if the independent variables decrease, then the dependent variable would increase, and vice versa.
- Causation, also known as cause and effect, is when an observed event or action appears to have caused a second event or action. For example, I bought a brand new bed comforter and placed it in my washing machine to be cleaned. After cleaning the comforter, my washing machine stopped working. I may assume that the first action, washing the comforter, caused the second action, broken washing machine.
<em>I hope this helped! :)</em>
The modern taxonomists classified organisms on the general basis of evolutionary, morphological, and genetic traits
Explanation:
- Evolutionary relationships provides the phylogeny of evolutionary ancestors and descendants
- Homologous structures are structures which look the same but perform different functions
, like bones of a human leg compared to bones on a bird's wing
- Analogous structures have different structure but same function like an insect’s and a bird’s wing
- Embryo developmental pattern and similar relationships
- Similarities in DNA and protein sequencing in related organisms
The above basis provided modern taxonomists to classify organisms according to the various disciplines like Genetics, Cytology, Embryology, Physiology, Anatomy and many more.
