The answer is C. the emperor having total control over the lives of the Chinese.
Answer:
Physical
Explanation:
Its a physical noise because you are being distracted in the environment of interaction
Answer: front and back region
Explanation:
When we are dealing with our employer or other professional businesses we have to act different than we normal act , we bring up a different self so we put in a front region.
We have to be this person who is strict , calm , professional at all times when we are dealing with our professional team.
We change the language we speak , the pictures we post on our social network ; everything has to show moral and good ethics because we don't want to risk creating an unprofessional image to our employer or business partners .
However with friends and family we can be as casual as we want to be even the langauge we use , the photos we post on our social network , we can be our normal self without any fear hence we can be in our back region.
<u>Answer:</u>
Luke's conflict-handling intention is called Avoiding.
<u>Explanation:</u>
- In the given case, Luke is trying to avoid a conflict with his cubicle neighbor Leia.
- Avoiding is simply means to keep away from a potential conflict situation.
- Although avoiding conflict can be used to suppress unpleasant encounter, this can have serious problem in future.
- In this case, there is possibility of development of social anxiety in Luke.
- The anger may come to surface with another person. Sometimes, it is better to solve the problem facing a conflict rather than avoiding for the betterment of both parties.
Answer: NON-EQUIVALENT GROUP DESIGN.
Explanation: A nonequivalent group design is a quasi‐experiment used to assess the relative effects of treatments that have been assigned to groups of participants non-randomly (adults whose name appeared in the local police report as child abuse victims, and those have never been victims). Because the participants have been assigned to treatments non-randomly by Dr. Rose, differences in the composition of the treatment groups can bias the estimates of the treatment effects. A variety of statistical methods are available for taking account of this selection bias. Each method imposes different assumptions about the nature of the selection effects, but it can be difficult to determine which set of assumptions is most appropriate in a given research setting.
