Answer:
1) Organisms in this domain can be unicellular or multicellular - Eukarya
2) Organisms in this domain are unicellular and are often found in extreme environments - Archaea
3) Organisms in this domain have cells that contain a nucleus - Eukarya
Explanation:
All living organisms were classified into a large group consisting of three types of organisms called DOMAIN. It is the highest taxonomic rank of organisms. The three domains that life was classified into are: Archaea, Bacteria and Eukarya.
The domain Archaea contains organisms that are unicellular and prokaryotic i.e. they do not have a membrane-bound nucleus. The organisms in this domain are characterized by their ability to survive in harsh environmental conditions e.g hot temperatures etc
The domain Bacteria also consists of unicellular and prokaryotic organisms. They contain cell walls in their cells made up of peptidoglycan unlike domain Archaea and Eukarya.
The domain Eukarya consists of organisms that are both unicellular and multicellular and strictly eukaryotic i.e. possess a membrane bound nucleus that houses their genetic material. They are divided into Kingdoms: Protista, Plantae, Animalia and Fungi.
It’s the doctor of all systems
Answer:
100g/500mL
Explanation:
1ml is .001 of 1 L
this means that per one ml, there is 200g*.001, or .2g/mL, or simply .2g.
now we multiply this by 500, for the 500ml we are calculating. 500*.2=100.
We can also skip these steps and take 200g*.5L, as 500mL is 1/2 liter. We get the same outcome, so the answer is 100g
B and f i think since more population means more resource consumption
Answer:
She will obtain results to support -or reject- her working hypothesis. These results are subjected to statistical analyses in order to confirm that they are statistically significant
Explanation:
The scientific method is a rigorous process that consists of raising a working hypothesis, which is tested by experimentation or observational procedures and analysis of the results. The statistical analyses may have key roles during this procedure. In an experiment that involves statistical analyses, the results are subjected to statistical measures to evaluate the significance level and thus confirm (or reject) the statements made in the working hypothesis. The p-value is one of the most used statistical measures to determine if differences are due to randomness, or they are statistically significant.
