Jaxson is experiencing a biological stressor type.
<h2>What is a biological stressor?</h2>
A biological stressor is defined as that external or internal stimulus that directly destabilizes the dynamic balance of the individual, that is, they act directly on the organism causing or triggering the stress response.
<h3>Characteristics of a biological stressor</h3>
They produce certain biochemical or electrical changes that automatically trigger the stress response.
These stimuli bypass the cognitive appraisal mechanism and work directly on the neurological and affective elicitor nuclei.
Therefore, we can conclude that in a biological stressor, the physiological response occurs in the organism to the stressor stimuli regardless of the interpretation we make of the situation.
Learn more about a biological stressor here: brainly.com/question/17034778
Answer:
The typical SAT scores for UC Davis are, for Reading and Writing:560-660; Math:570-700. UC Irvine R&W:580-650 Math:590-700. UCLA R&W:620-710 Math:600-740. UC San Diego R&W:600-680 Math:610-730
Explanation:
Answer:
In uniform circular motion, the speed remains constant while the direction of the object changes. This means the object experiences an acceleration toward the center of the circle, which is known as centripetal acceleration.
Explanation:
Answer:
Quota.
Explanation:
In Statistics, sampling can be defined as a process used to collect or select data (objects, observations, or individuals) from a larger statistical population using specific procedures.
There are various types of sampling used by researchers and these are;
1. Random sampling.
2. Systematic sampling.
3. Stratified sampling.
4. Cluster sampling.
5. Opportunity or convenience sampling.
6. Quota sampling.
Quota sampling can be defined as a non-probability sampling technique wherein a sample comprising of data from a population or homogeneous group are created.
In this scenario, a researcher selects a sample from a district such that 25% of the children are between ages 5 and 6, 25% are between ages 7 and 8, 25% are between 9 and 10, and 25% are between ages 11 and 12. Thus, the researcher is employing a quota sampling.
