Answer:
Some of the important measures for sustainable development are as follows:
(i) Technology:
(ii) Reduce, Reuse, and Recycle Approach:
(iii) Promoting Environmental Education and Awareness:
(iv) Resource Utilization as Per Carrying Capacity:
(v) Improving Quality of Life Including Social, Cultural and Economic Dimensions
Answer: The mortgage broker.
Explanation:
The mortgage broker is an individual or company that connects the mortgage borrower to the right mortgage lender, which the mortgage borrower can afford their interest rates on mortgage.
The mortgage broker is paid by the mortgage lender for each mortgage borrower they bring that successfully borrows a property.
Answer:
it is the process of making and enacting law
Answer:
Hypothalamus
Explanation:
In simple words, The hypothalamus can be understood as the tiny brain structure. It's close the pituitary gland at the foundation of the brain. The hypothalamus, despite its modest size, plays an essential part in a variety of processes, namely hormone release. controlling one's body warmth.
The hypothalamus is a tiny central area of the human brain that is made up of nerve fibres and a collection of nuclear bodies that serve diverse roles. The hypothalamus is defined as the connection among the neurological as well as endocrine systems, and its primary role is to keep the system in a state of homeostasis.
Answer:
Confounding variable
Explanation:
The confounding variable is the variable that is extra in variables. It is not counted by the experimenter in the research experiment. With the help of confounding variables, it can be explained that it is cor-relational but in actual it is not there. This variable introduces the bias ness in the experiment.
confounding variable is the variable that affects the variable hidden on its outcome. But technically if we see confounding is not a true bias. Bias occurs when there is an occurrence of an error in data collection. In confounding variable there is positive bias occur when an association of bias is away from null and negative bias occur when it is associated with null.
