A small state would prefer the number of representatives to be the same for each state. This was the focus of the New Jersey plan, which was proposed at the Constitutional Convention in 1787.
The states would be represented based on their population.
The government would not grant the territory its statehood.
i need help
If they were represented by population the larger states would have all the legislated solely in their benefit.What about the states with a smaller population, they got less than they deserve?
Defiatley the gold rush, which increased the population and led to statehood and the manifest denesty
The agreement under the Great Compromise of 1787 was that all states would be equally represented in the Senate and they would be proportionally represented in the House of Representatives. This system still occurs today as each state is represented by two Senators and the numbers of House of Representatives is chosen by the population of the state.
The Senate is not based on population. Each state is represented by 2 Senators.
With regard to representation in the House of Representatives, states are represented according to their populations. Representation in the Senate is based on 2 delegates per state, regardless of population.
The agreement under the Great Compromise of 1787 was that all states would be equally represented in the Senate and they would be proportionally represented in the House of Representatives. This system still occurs today as each state is represented by two Senators and the numbers of House of Representatives is chosen by the population of the state.
The Connecticut Compromised settled the question of how states would be represented in Congress. The Compromise was that Congress would be made up of two houses, one in which each state was represented equally, and one in which each state was represented according to its population.
They would be represented equally.
Sampling bias occurs when the sampling frame does not reflect the characteristics of the population which is being tested. Biased samples can result from problems with either the sampling technique or the data-collection method. Essentially, the group does not reflect the population which is supposed to be represented in the given survey or test. For example: If the question being asked in a survey was "do American's prefer Coca-Cola or Pepsi?" and all people asked were under 18 and from California, there would be a sampling bias as the sampling frame would not accurately represent "American's".