Government policies affect market economies in numerous ways. The largest areas of government intervention in the economy are through Fiscal and Monetary Policy. Fiscal Policy is when the government decides to use revenues obtained through taxation to influence the economy. An example of this is when the US Government bailed out failing financial institutions in 2008 after the financial collapse by using citizens tax dollars to influence the economy. Monetary policy is when the government uses control of the money supply to influence the economy. An example of this is when the US Government buys or sells U.S. Treasury bonds at different rates to increase or decrease the amount of money in supply which influences interest rates and the overall economy. Another example by which the U.S. Government influences the "free market" is by imposing tariffs and quotas on US imported goods. These are essentially barriers or taxes on goods entering the U.S. Market. An example of this could be a 5% Tax on (x) good that is imported from China.
Answer:
Many colonies were economically more developed than they likely would have been had they not bee colonized. An example of this is India, a country which likely wouldn't be in the economic position it is today if it weren't for advances made under British rule. India would likely be even less developed than it is today and would probably be split into several if not many smaller nations/kingdoms.
Because the Ottoman Empire wanted more land. Also the Ottoman Empire lost the first war and when they do lost the war the give them land but no money
Answer:
This simulation will be done using Python programming language
# Program is written in Python
# Comments are used for explanatory purpose
# Program starts here
stringtocheck = open('PrideAndPrejudice.txt', encoding='utf-8').
read()
#Split words
splitwords = np.array(string.split())
In []:
# Initialise trial simulation to 10000 in test variable
test = 10000
# Initialise diff to 0
diff = 0
# iterate for possible words in PrideAndPrejudice
for i in np.arange(test):
# search for 2 words
words = np.random.choice(splitwords, 2)
#implement the condition in hint above
iflen(words.item(0)) != len(words.item(1)) != len(words.item(2)) != len(words.item(0)):
#calcuate result
diff = diff + 1
num_different = diff/test
He desired a logical, well played, religiously tolerant colony.
