D) Critical thinking. You thought about what both things said, and thought about which one that you thought was right. Hope this helps. Please mark brainliest. Have an amazing night.
The environment is studied at different levels & stages.
Biosphere: The biosphere is the zone in which life exists. It consists of the atmosphere& the hydrosphere alongwith the earth surface where living beings live.
The biome is a community of plants and animals (flaura & fauna).
Community: A community is a group of people/living beings who live in a specific location. It is used to describe two or more populations of different species that exist at same place.
Population: A population is the multiple individuals or living organisms of a single species that live in an area.
The populations are formed by lalrge number of groups of organisms.
Group of populations form communities. The group of all communities form a biome, which exist in the biosphere.
The diagram shows:
The right option is c. narcotic
Tylenol
iii with codeine belongs to the group of medications called narcotic analgesics
(pain relievers). Narcotics are drugs that are administered to provide relief
from severe pain. Narcotics are sometimes prescribed when other forms of pain
relievers are not working. Examples of narcotics are hydrocodone, codeine, tramadol
and opium.
Answer:
Abiotic
Explanation:
They aren't a living organism so it's abiotic I assume.
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Bias can happen in sampling. The propensity of a sample statistic to systematically under- or
over-approximate a population is referred to as bias.
To add, in statistics, sampling bias is a bias in
which a sample is collected in such a way that some members of the
intended population are less likely to be included than others.
The following are some types of biases in Statistics:
Selection bias includes individuals being more
likely to be chosen for study than others, biasing
the sample. This can also be termed Berksonian bias
In statistical hypothesis testing, a
test is said to be unbiased if for some alpha level (between 0 and
1), the probability the null is not accepted is less than or equal to the alpha
level for the entire parameter space defined by the null hypothesis, while the
probability the null is rejected is greater than or equal to the alpha level
for the entire criterion space interpreted by the alternate hypothesis.