Homework Answers
Foreign investment net inflow directly and indirectly impacts human economic development. Because the less developed countries have lower GDP, % of GDP net inflow is higher for such countries, while developed countries such as Japan and Sweden, have higher GDP which makes the net inflow figure as a % of GDP smaller.
FDI generates higher employment and opportunities, as income is invested into the economy, this leads to new business generation and creation of new services, which propels the domestic economy. This indirectly affects human economic development as jobs get generated which leads to increased income and education levels. This propels savings and further investment.
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how
does foreign investment net inflow affect human economic
development use examples
13. Foreign direct investment,...
how does concentration index (exports)(value) affect human economic development use examples 7. Concentration Index (exports) (value)...
how
does concentration index (exports)(value) affect human economic
development use examples
7. Concentration Index (exports) (value) Column1 2015 Sweden, France, China, US India, South Africa Mexico Japan, Egypt, Indonesia Brazil Nicaragua Honduras Costa Rica Ethiopia, Saudi Arabia, Venezuela, Nigeria, 2016 0.089 0.098 0.104 0.097 0.12 0.122 0.122 0.135 0.142 0.138 0.128 0.226 0.231 0.228 0.301 0.549 0.739 0.736 2017 0.091 0.09 0.098 0.092 0.105 0.096 0.099 0.097 0.12 0.122 0.121 0.128 0.124 0.132 0.141 0.139 0.153 0.142 0.128 0.142 0.126...
how does net official development assistance received of a country affect human/economic development? Venezuela, 32.5 310...
how
does net official development assistance received of a country
affect human/economic development?
Venezuela, 32.5 310 32.7 3.8 32.9 12. Net official development assistance received (% of GNI) 2016 0.1 0 2017 0 2018 0.2 0.6 Brazil, China, Costa Rica Egypt, Ethiopia, Honduras India, Indonesia. Mexico, Nicaragua Nigeria, South Africa, 3.3 4.2 0.5 0.6 | 0.9 0.5 0.4 0.3 13. Foreign direct investment, net inflows (% of GDP) 2017 2018 2016
12 Use data_2002. Use ggplot. Plot gdpPercap vs lifeExp. 13 Use data_2002. Use ggplot. Plot gdpPercap...
12 Use data_2002. Use ggplot. Plot gdpPercap vs lifeExp. 13 Use data_2002. Use ggplot. Plot gdpPercap vs lifeExp by continent (color) 14 Use data_2002. Use ggplot. Plot gdpPercap vs lifeExp by continent and pop (color and size) 15 Get data for Europe in 2002. Call it data_Europe Looking for these problems in R command code answers. 1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 2002 2007 142 142 142 142 142 142 142 142 142 142 142 142...
22 Use data_Americas. Plot year vs gdpPercap. Scale gdpPercap by log10. Color the data by country....
22 Use data_Americas. Plot year vs gdpPercap. Scale gdpPercap by log10. Color the data by country. 23 Use data_Americas. Plot year vs gdpPercap. Scale gdpPercap by log10. Color the data by country and size by pop. Looking for the answers in R command codes. 1952 1957 1962 1967 1972 1977 1982 1987 1992 1997 2002 2007 142 142 142 142 142 142 142 142 142 142 142 142 > table(gapminder$country) Afghanistan Albania Algeria 12 12 12 Angola Argentina Australia 12...
a) Why do you think we choose to measure emissions per person rather than total CO2...
a) Why do you think we choose to measure emissions per person
rather than total CO2 emissions for each country?
b) Make a stemplot to display the data.
c) Describe shape, center, spread of the distribution
d) Use the 1.5xIQR rule to determine the possible outliers. List
the outliers. Show all work.
e) No visually, using the stemplot you created, what are the
additional outlier(s)? Discusses why you chose these outlier(s)
f) In this case, is it better to use...
Human Development Data Set: Questions are posted in next post. C1-T INTERNET GDP CO2 CELLULAR FERTILITY...
Human Development Data Set: Questions are posted in next post. C1-T INTERNET GDP CO2 CELLULAR FERTILITY LITERACY Algeria 0.65 6.09 3 0.3 2.8 58.3 Argentina 10.08 11.32 3.8 19.3 2.4 96.9 Australia 37.14 25.37 18.2 57.4 1.7 100 Austria 38.7 26.73 7.6 81.7 1.3 100 Belgium 31.04 25.52 10.2 74.7 1.7 100 Brazil 4.66 7.36 1.8 16.7 2.2 87.2 Canada 46.66 27.13 14.4 36.2 1.5 100 Chile 20.14 9.19 4.2 34.2 2.4 95.7 China 2.57 4.02 2.3 11 1.8 78.7...
Will reward thumbs up 100% if works. thank you Pickling with Python code and Pandas code Do both ...
Will reward thumbs up 100% if works. thank you Pickling with Python code and Pandas code Do both pickling assignment in one Jupyter Notebook file. Python Pickle steps: Download the CSV file. Load into a Pandas DataFrame. Make the column ‘country’ the index. Print the header. Using Python code, pickle the DataFrame and name the file: PythonPickle. Load back the PythonPickle data into the DataFrame. Print the header. (Note both printed headers should match.) Pandas Pickle steps: Download the CSV...
DATA: # happy2.py import csv def main(): happy_dict = make_happy_dict() print_sorted_dictionary(happy_dict) def make_happy_dict(): filename = "happiness.csv"...
DATA:
# happy2.py
import csv
def main():
happy_dict = make_happy_dict()
print_sorted_dictionary(happy_dict)
def make_happy_dict():
filename = "happiness.csv"
happy_dict={}
with open(filename, 'r') as infile:
csv_happy = csv.reader(infile)
infile.readline()
for line in csv_happy:
happy_dict[line[0]] = line[2]
return happy_dict
def lookup_happiness_by_country(happy_dict):
return
def print_sorted_dictionary(D):
if type(D) != type({}):
print("Dictionary not found")
return
print("Contents of dictionary sorted by key.")
print("Key","Value")
for key in sorted(D.keys()):
print(key, D[key])
main()
"happines.csv"
Country,Year of Estimate,Happiness Index
Afghanistan,2018,2.694303274
Albania,2018,5.004402637
Algeria,2018,5.043086052
Angola,2014,3.794837952
Argentina,2018,5.792796612
Armenia,2018,5.062448502
Australia,2018,7.17699337
Austria,2018,7.396001816
Azerbaijan,2018,5.167995453
Bahrain,2017,6.227320671
Bangladesh,2018,4.499217033...
Use Eigure 211 to answer the following questions. 23 Suppose interest rate parity holds, and the...
Use Eigure 211 to answer the following questions. 23 Suppose interest rate parity holds, and the current six-month risk-free rate in the United States is 1.3 percent The six-month risk-free rate in Great Britain, Japan, and Switzerland must be percent, and (Enter your answers as a percent rounded to 2 decimal places, e.g., 32.16.) percent percent, respectively Skipped References Currencies U.S.-dollar foreign-exchange rates in late New York trading US$ vs YTD chg in US$ per US$ (%) US$ vs, ThursYTD...
Use the information in Figure 21.1 to answer the following questions: a. £100 is worth (Round...
Use the information in Figure 21.1 to answer the following questions: a. £100 is worth (Round your answer to 2 decimal places, e.g., 32.16) b. £100 is worth SF Therefore, you would rather have (Round your answer to 4 decimal places, e.g., 32.1616) C. The The cross-rate for Swiss francs in terms of British pounds is SF/£ cross-rate for British pounds in terms of Swiss francs is £/SF answers to 4 decimal places, e.g., 32.1616) (Round your US$ vs, Chile...
how
does concentration index (exports)(value) affect human economic
development use examples
7. Concentration Index (exports) (value) Column1 2015 Sweden, France, China, US India, South Africa Mexico Japan, Egypt, Indonesia Brazil Nicaragua Honduras Costa Rica Ethiopia, Saudi Arabia, Venezuela, Nigeria, 2016 0.089 0.098 0.104 0.097 0.12 0.122 0.122 0.135 0.142 0.138 0.128 0.226 0.231 0.228 0.301 0.549 0.739 0.736 2017 0.091 0.09 0.098 0.092 0.105 0.096 0.099 0.097 0.12 0.122 0.121 0.128 0.124 0.132 0.141 0.139 0.153 0.142 0.128 0.142 0.126...
how
does net official development assistance received of a country
affect human/economic development?
Venezuela, 32.5 310 32.7 3.8 32.9 12. Net official development assistance received (% of GNI) 2016 0.1 0 2017 0 2018 0.2 0.6 Brazil, China, Costa Rica Egypt, Ethiopia, Honduras India, Indonesia. Mexico, Nicaragua Nigeria, South Africa, 3.3 4.2 0.5 0.6 | 0.9 0.5 0.4 0.3 13. Foreign direct investment, net inflows (% of GDP) 2017 2018 2016
a) Why do you think we choose to measure emissions per person
rather than total CO2 emissions for each country?
b) Make a stemplot to display the data.
c) Describe shape, center, spread of the distribution
d) Use the 1.5xIQR rule to determine the possible outliers. List
the outliers. Show all work.
e) No visually, using the stemplot you created, what are the
additional outlier(s)? Discusses why you chose these outlier(s)
f) In this case, is it better to use...
DATA:
# happy2.py
import csv
def main():
happy_dict = make_happy_dict()
print_sorted_dictionary(happy_dict)
def make_happy_dict():
filename = "happiness.csv"
happy_dict={}
with open(filename, 'r') as infile:
csv_happy = csv.reader(infile)
infile.readline()
for line in csv_happy:
happy_dict[line[0]] = line[2]
return happy_dict
def lookup_happiness_by_country(happy_dict):
return
def print_sorted_dictionary(D):
if type(D) != type({}):
print("Dictionary not found")
return
print("Contents of dictionary sorted by key.")
print("Key","Value")
for key in sorted(D.keys()):
print(key, D[key])
main()
"happines.csv"
Country,Year of Estimate,Happiness Index
Afghanistan,2018,2.694303274
Albania,2018,5.004402637
Algeria,2018,5.043086052
Angola,2014,3.794837952
Argentina,2018,5.792796612
Armenia,2018,5.062448502
Australia,2018,7.17699337
Austria,2018,7.396001816
Azerbaijan,2018,5.167995453
Bahrain,2017,6.227320671
Bangladesh,2018,4.499217033...
Use Eigure 211 to answer the following questions. 23 Suppose interest rate parity holds, and the current six-month risk-free rate in the United States is 1.3 percent The six-month risk-free rate in Great Britain, Japan, and Switzerland must be percent, and (Enter your answers as a percent rounded to 2 decimal places, e.g., 32.16.) percent percent, respectively Skipped References Currencies U.S.-dollar foreign-exchange rates in late New York trading US$ vs YTD chg in US$ per US$ (%) US$ vs, ThursYTD...
Use the information in Figure 21.1 to answer the following questions: a. £100 is worth (Round your answer to 2 decimal places, e.g., 32.16) b. £100 is worth SF Therefore, you would rather have (Round your answer to 4 decimal places, e.g., 32.1616) C. The The cross-rate for Swiss francs in terms of British pounds is SF/£ cross-rate for British pounds in terms of Swiss francs is £/SF answers to 4 decimal places, e.g., 32.1616) (Round your US$ vs, Chile...
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