1. Construct a choropleth map using the data for HDI in Table 1 HDI for South Asian countries.
Remember to check BOLTSS.
Table 1 HDI for South
Asian countries
Country HDI 2019
Uzbekistan 0.71
Turkmenistan 0.70
Kyrgyzstan 0.8
Tajikistan 0.65
Afghanistan 0.50
Pakistan 0.55
Iran 0.79
India 0.64
Burma 0.58
Nepal 0.57
Bhutan 0.61
Bangladesh 0.59
China 0.75
Source: World Bank 2019
2a. Refer to Map 1 Global Human Development Index 2019 and Map 2 World Political Map 2019
(below) to complete the following.
Describe the spatial variation shown in Map 1 Global Human Development Index 2019
Include a generalised statement in your answer supported with statistics, named country examples and
anomalies from the map. Write about XXXXXXXXXXwords. Use Map 2 World Political Map 2019 to assist in
identifying countries for named examples.
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Map 1 Global Human Development Index 2019
Human Development Index 2019
Source: Our World in Data 2019
2b. Refer to Map 1 Global Human Development Index 2019 to complete the following.
Explain the environmental reasons WHY there is spatial variation in HDI around the world. Write about 150
words.
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Map 2 World Political Map 2019
Source: https:
geology.com/world/world-map.shtml
3a. Complete the graph below using the data in Table 2 Number of Hospital Beds/1000 and Life
Expectancy for Sth Asian Countries 2018 to show the relationship between Hospital Beds and Life
Expectancy.
NOTE: you will need to add FOUR countries points to complete the scattergraph – China, South Korea
and Philippines. Make sure you have also included all SALTS and a LINE OF BEST FIT.
Table 2 Number Hospital Beds/1000 and Life Expectancy for Sth Asian Countries 2018
Country Number Hospital Beds/ XXXXXXXXXXLife expectancy at birth (Years) 2018
China (C XXXXXXXXXX
South Korea (SK XXXXXXXXXX
Philippines (P XXXXXXXXXX
Vietnam (V XXXXXXXXXX
Japan (J XXXXXXXXXX
Bangladesh (B XXXXXXXXXX
Nepal (N XXXXXXXXXX
Bhutan (Bh XXXXXXXXXX
India (I XXXXXXXXXX
Sri Lanka (SL XXXXXXXXXX
Malaysia (M XXXXXXXXXX
Thailand (T XXXXXXXXXX
Laos (L XXXXXXXXXX
Source: Worldbank 2018
0
10
20
30
40
50
60
70
80
90
XXXXXXXXXX XXXXXXXXXX
Li
fe
E
xp
ec
ta
n
cy
(
Y
s)
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3b. Refer to the scatter graph you have constructed.
Identify and describe the type (negative /positive) and level of co
elation (weak or strong) between
number of hospital beds and the life expectancy shown in the scatter graph. (Refer to the ‘line of best fit’
that you drew on your scattergraph.) Use named countries and statistics in your description. If relevant
mention any possible anomalies. Write about 100 words
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4. Refer to the graph below. In the lines provided on page 7 explain (offer reasons) why there has been a
decline in extreme poverty around the world. Write about 150 words.
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5. Explain (give reasons) how and why levels of development and wellbeing are influenced by human
factors. Include any three of the following four factors in your response – historical, social, political, and
economic. 150 words
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Page | 8
Year 10 Geography - Unit 1: Wellbeing Type: Data Response Exam
Assessment task name: Summative Assessment 1 – Data Response Exam Due Date: 10 March 2023
Purpose: Students explore spatial differences in wellbeing and evaluate the differences from a variety of perspectives. They analyse and
synthesise wellbeing data and present findings and explanations using graphic representations
Criteria A B C D E
K
n
o
w
le
d
g
e
&
u
n
d
e
s
ta
n
d
in
g
Identification and comprehensive
explanation of interconnections between
people, places and environments
Identification and detailed explanation of
interconnections between people,
places and environments
Identification and explanation of
interconnections between people,
places and environments
5 identification and
description of
interconnections between
people, places and
environments
identification and
statements about
interconnections between
people, places and
environments
A
n
a
ly
s
in
g
a
n
d
i
n
te
p
e
ti
n
g
discerning use of a range of methods
and digital technologies to:
discerningly interpret and analyse maps,
to make generalisations and inferences
discerningly interpret and analyse data
and other information
propose comprehensive explanations
for significant patterns, trends,
elationships and anomalies across time
and space and at different scales
effective use of a range of methods and
digital technologies to:
effectively interpret and analyse maps,
to make generalisations and inferences
effectively interpret and analyse data
and other information
propose informed explanations for
significant patterns, trends, relationships
and anomalies across time and space
and at different scales
use of a range of methods and digital
technologies to:
interpret and analyse maps, to make
generalisations and inferences
interpret and analyse data and other
information
propose explanations for significant
patterns, trends, relationships and
anomalies across time and space and at
different scales
2a
2b
3b
4
use of methods and
digital technologies to:
explain maps, data and
other information to make
generalisations and
inferences
propose partial
explanations for patterns
propose partial
explanations for trends
statements about maps,
data and other
information to:
propose fragmented
explanations for patterns
and trends
C
o
m
m
u
n
ic
a
ti
n
g
purposeful presentation of findings,
arguments and explanations using
elevant geographical terminology and
graphic representations and digital
technologies in a range of selected and
appropriate communication forms
effective presentation of findings,
arguments and explanations using
elevant geographical terminology and
graphic representations and digital
technologies in a range of selected and
appropriate communication forms
presentation of findings, arguments and
explanations using relevant
geographical terminology and graphic
epresentations and digital technologies
in a range of selected and appropriate
communication forms
all partial presentation of
findings, arguments and
descriptions using
geographical terminology
and aspects of graphic
epresentations and
digital technologies
fragmented presentation
of findings using
everyday language and
fragmented graphic
epresentations
ecording and accurate and detailed
epresentation of multi-variable data in
the most appropriate digital and non-
digital forms, including a range of
graphs and maps that use suitable
scales and comply with all cartographic
conventions
ecording and detailed representation of
multi-variable data in the most
appropriate digital and non-digital forms,
including a range of graphs and maps
that use suitable scales and comply with
most cartographic conventions
ecording and representation of multi-
variable data in the most appropriate
digital and non-digital forms, including a
ange of graphs and maps that use
suitable scales and comply with
cartographic conventions
1
3a
ecording and partial
epresentation of multi-
variable data in the most
appropriate digital and
non-digital forms with
aspects of cartographic
conventions
ecording and fragmented
epresentation of data in
appropriate forms
Page | 9
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