The world population DOUBLED. Thanks Industrial Revolution. Thomas Edison brought the world to light at night! Massive factories drew millions to cities–and people were able to ride there on new steam locomotives.
The British passed new taxes despite opposition because they needed the money. They lost over one million dollars worth of tea in the Boston Tea Party which was the last straw for them. They passed four new laws that were intended to punish Massachusetts and put an end to colonial changes to British authority. These laws were called The Boston Port Act, The Massachusetts Government Act, The Administration of Justice Act, and the Quartering Act.
The Boston Tea Party and the Coercive Acts made the colonist become very upset towards the British. During this time period, the British became very strict and demanding. This gave the colonist the crave to get revenge. The Coercive Acts was a punishment to the colonists but helped form the Continental Congress.
Hope this helps! :)
The influence of the media is increased by the fact that campaigns today have become more focused on the individual than on the party. In order to win primaries, individual candidates seek media attention to gain attention from voters.
Original--President by electoral college, Senators by state legislators, and House of Representatives by direct vote. Direct vote is by land-owning, white, males who were 21 or older.
President has remained the same.
Senators--changed to direct vote with the 17th Amendment in 1912
House of Representatives has remained the same.
Those who can vote has changed through time. In the 1820s and 1830s states removed the landowner condition for voting. In 1870, black men were given the right to vote under the 15th Amendment. In 1920, women were granted the right to vote under the 19th Amendment. Lastly, the age was moved from 21 to 18 in 1971 with the 26th Amendment.
Yes, data is reliable for predicting the future because if you think about weather forecasts they use a huge chart of data to help foresee what the weather will be for the day after, the week after, and etc. This is only one of the examples for data being reliable. Especially if it's fastdata, actionable data, and so on.
