Answer:
Quota sampling
Explanation:
Quota sampling: It gathers representative data from a particular group of people. In this sampling method, the data is being chosen from a particular sub-group of a population. This is considered to be more reliable as compared to other non-probability sampling methods such as snowball sampling.
Example: A researcher can take 200 males participants between the age of 18-25.
In the given question, the graph represents the quota sampling method.
Diversity is like people and how different we are. Unity is when we unite. Unity in diversity is speaking about how we need to come together and help each other even though we have our differences.
The correct answer is Brown v Board of Education
In its decision, the Supreme Court overruled the Plessy v Ferguson by ruling that the separation of children in public schools on the basis of race was unconstitutional. This ended racial segregation in public schools
Didn't they use the money to help their other Allie Britan?
Answer: There are many natural and human developed factors which affect the population distribution.
Explanation:
Natural factors:
Landforms: Plains are the most crowded places of survival of human population as they provide suitable land area for survival. The mountains and deserts are not preferred because the landforms are not suitable for survival.
Climatic conditions: Majority of people prefer to stay in areas with moderate climatic conditions.
Government policies: Those areas where government policies restrict the migration and trade of people are sparsely populated areas.
Hazard prone areas: Places where chances of oceanic tides, thunderstorms, volcanic eruptions are prominent are least occupied areas.
Main cause of population growth in urban areas are as follows:
1. Availability of food, shelter, medical, and literacy.
2. Availability of recreational areas, picnic spots, and other places.
3. Availability of occupational opportunities and chances of increase in income growth are prominent in urban areas as compared to rural areas.
