Answer Under enterprise resource planning platform, experience is the process whereby vendors interact and also manage the entire supply chain link on behalf of a retail client. In an enterprise chain, experience is the only process that manages the whole supply chain
Poverty can lead to social injustice because the poor would be given little or no regard as compared to the rich.
<h3>What is social injustice?</h3>
Social injustice occurs when a less privilege individual or group is being treated unfairly by another, resulting in disadvantages to that individual or group, which can result in missed opportunities in terms of education, work, housing, health care, and more.
Poverty leads to social injustice because if a person is poor, they are not provided the things they need and they are not treated like how they should be. In other words, they are treated lowly compared to those who have higher social status in the society.
Hence, poverty can lead to social injustice because the poor would be given little or no regard as compared to the rich.
Learn more about social injustice here: brainly.com/question/1622815
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<u>Answer:</u>
solubility
<u>Explanation:</u>
• Solubility is the property of an object that makes it dissolve in a solvent, thus making it 'disappear'. This is what is happening in the question.
• Conductivity is the property of a material that allows it to conduct electricity, i.e., it allows electricity to pass through it.
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.
