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1 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
2 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Content Page
P.2 Content Page
P.3 Introduction and Past DSE Records
P.4 Steps for Reading a Statistical Data
P.5 Different Question Types of Statistics
P.6 Paper 1 Requirement and General Skills
P.7-8 Organization and thinking process of
trend description
P.9 Steps to write trend description essay
P.10-11 Methods for Trend Description
P.12 Elements, Template and Common Mistakes
P.13 Vocabularies for Trend Description
P.14 Different Statistical Diagrams
P.15 Hints and Technique
P.16 Student Common Questions
P.17 Special Words for Trend Description
P.18-35 Sample Demonstration 1-5
P.36-37 Exercise for Practice
P.38 Consolidation and Summary
P.39-41 Blank Note Page
P.42-43 LS Hub Information
3 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Skill 01 – Data Interpretation
In Liberal Studies DSE Exam Paper 1, questions related to Data/Statistical Interpretation always appear. These questions usually consist of 4-5 marks and they are the easiest marks to get in the exam paper.
Question Appearance in past Liberal Studies DSE Exam:
Year Q. No. Statistical Info.
Question Mark
2012 Paper 1 Q1(a)
HK Population Statistic
Describe the trends of the population statistics…
4
2014 Paper 1 Q3(a)
Binge Drinking among HK adults
Describe the pattern of binge drinking among…
4
2015 Paper 1 Q1(a)
Sannong Statistics of China (Chart)
With the reference of source A, B and C, describe the changes in……
5
2015 Paper 1 Q3(a)
International Tourist Arrival and Receipts (Chart)
Describe the trend in international tourism shown in source A….
4
2016 Paper 1 Q1(a)
Hong Kong Agriculture
Describe the trend in Hong Kong agriculture as….
4
2016 Paper 1 Q3(a)
HIV Infection Describe the pattern of HIV infection as shown…
4
2017 Paper 1 Q1(a)
Acceptance of Ethnic Minorities
Describe the pattern of acceptance of different…
4
2017 Paper 1 Q3(a)
Happiness Index of Quality of Life
Based on the source, compare… and compare patterns of…
5
What is Data/Statistical Interpretation?
1. Describing the Data from the given statistics 2. Observing the trend from the given statistics 3. Phenomenon expressed from the given statistics
***To conclude the information shown from the given statistic
4 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Steps for Reading a Statistical Data
© LS Hub
1. Look at the title to know what the statistic is
talking about (睇標題去了解圖表介紹內容)
2. Observe the different items in the chart (深入
觀看圖表內容) [Tips: Look at the literal part,
to see what is comparing with one another 淨
係睇文字,去知道內容。數據/數字寫個
陣時才直接引用。慳時間 ]
3. Mark down the significant items (圈出重要,
具象徵的資訊)
Significant Items:
• Maximum / Minimum (最大與最小)
• Fluctuation and Changes (轉變)
4. Start writing your essay. As the question about
interpreting statistical data are slightly
different, you cannot always use the same
method. (Details check P.9)
5.
)
5 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Different Question Types
Student Common Question:
有時又問你 trend,有時就問 features,有時問
pattern,咁多種問法,點算好?
Actually, 百變不離其宗, 全部都係到問緊一樣 common
thing: Key of the Data (The Key Trend) 數據所顯示的突出
重點
There is only a slight/minor difference between different question types, but also be aware of those too:
➢ Trend (趨勢) – The Direction of the phenomenon
o E.g. Hong Kong’s agricultural development is turning down.
➢ Pattern (格局) – Common Pattern – Similar Trend
o E.g. Hong Kong’s agricultural development pattern is similar to Singapore, also turning down gradually
➢ Features (特徵) – Key Characteristics, Overall
Characteristics/Overall Key point/focus o E.g. Generally, more male suicide than female
➢ Performance (表現) – The performance of an activity.
Usually quite subjective by using your own view o E.g. Hong Kong performance on quality of life is
quite good.
➢ Mode (模式) – Need conceptualization to generalize
different categories [More details on video]
6 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
In Paper 1,
You must quote/use the information from the statistic provided.
General Steps:
1. Quotation Words (E.g. Firstly, secondly…)
2. Topic Sentence (The general trend)
3. Use the source (According to the source…)
4. Further Explanation (Explain the relationship
between the source and the trend)
5. Short Conclusion (Repeating the trend)
Common Types of Statistics
Chart Line Graph Bar Chart Pie Chart
Use calculation and
combination from the sources
+
Use conceptualization to
conclude the development
trend
7 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Organization and Thinking Process for Trend Description
After you have briefly read the statistic, you need to plan how will you write the essay. The below show some tips and organization methods for you to know how to think about what to write:
1. Relationship between the title and the question asked
2. LS Module Involved and Module Topic
3. 5W1H (Where does it refer to? When it happens? Who
are the stakeholders? What is the event? Why is there
such statistic? How can we show the key points?)
4. ***The general trend of the statistic
5. Significant Items (E.g. Max. Min. Transitioning Point)
Title
Significant LS Module
General Trend 5W1H
8 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
For Example:
The Unemployment Rate of Hong Kong
Unemployment Rate of Hong Kong
2003 (7.9%) M2T1 (QoL)
2008 (3.6%) M2 M
Who: HK ppl.
When: 2001-2010
Where: HK
What: Unemployment Issues and QoL
Why: Performance of the Economic
How: Time Trend Description
1)Unemployment of HK is lower than 10%
2)Decreased gradually from 2003-2008
9 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Steps to Write Trend Description Essay (Whole
Process)
© LS Hub
1. Find the relationship between the statistic and the question
a. Title Relation with the question
b. Related Category to the question
2. Find the relationship between the X-axis and Y-axis to find
the corresponding data of description
3. Horizontal Analysis (Same Category, Different Items):
Compare the items in the same category but different
items, use descriptive trend wordings)
a. E.g. Same Item in Different Years
4. Vertical Analysis (Different Category, Different/Same Items):
Compare the items in different categories but same items
a. E.g. Same Year different items (Get the max. and
min.)
5. Overall Analysis – The Whole Trend and the Significant
Values
6. Concluding Trend - Implication
10 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Methods for Trend Description
Method 1: General Description
Paragraph 1: Overall Trend How many people? Percentage involved? Overall Increase / Decrease? Increase / Decrease how much? More or less than what? The problem and issue appear (E.g. It shows that…..)
Paragraph 2: X-axis Analysis Most significant figure of X-axis (Maximum and Minimum) - Trend of X-axis Calculate percentage change (how much) Compare different items in X-axis (XXX has the most and YYY has the least, it show that XXX deals with __________________ than YYY.)
Paragraph 3: Y-axis Analysis Most significant figure of Y-axis (Maximum and Minimum) - Trend of Y-axis Calculate percentage change (how much) Compare different items in Y-axis (XXX has the most and YYY has the least, it show that XXX deals with __________________ than YYY.)
Paragraph 4: Overall Analysis (Implication) Link the relationship between X and Y axis What overall phenomenon has appear? The problem shown through the implication.
11 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Method 2: Specific Trend Description
Usually, in order to get 4-5 marks, you need to include 3 specific trends.
Template:
Paragraph 1 – Trend 1
1. The Trend you will be talking about 2. What has been shown in the statistic to prove your
trend, describe the corresponding statistic 3. Proving your trend 4. Implication (Short Conclusion) – Repeat the trend
Paragraph 2 – Trend 2
1. The Trend you will be talking about 2. What has been shown in the statistic to prove your
trend, describe the corresponding statistic 3. Proving your trend 4. Implication (Short Conclusion) – Repeat the trend
Paragraph 3 – Trend 3
1. The Trend you will be talking about 2. What has been shown in the statistic to prove your
trend, describe the corresponding statistic 3. Proving your trend 4. Implication (Short Conclusion) – Repeat the trend
12 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Elements for Taking full marks in Trend Description
1. Describe at least 3 objectives/trends
2. Provide at least 2 implications
3. Clearly and logically explain the source
4. Structure is precise, strong and expression is clear.
General Template of Trend Description
According to the source, (Overall
Trend) . From the source, it mentioned that
(The relevant statistic from the source) . This means
that (vertical/horizontal situation) . Therefore, it
implies that (Short Conclusion – Overall Trend) .
Common Mistake
1. Did not connect the relationship between the statistic and the phenomenon -> Need to explain the phenomenon appear
2. Only describe the basic content, lack of specific elaboration -> Need to use specific terms (E.g. Increased gradually, fluctuation….)
3. Quote the wrong numbers 4. Mis-using Percentage Change Formula (Percentage
Change occurs when there is a time difference/time change)
13 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Vocabularies for Trend Description
14 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
How to deal with different statistical diagrams?
Chart
• Vertical and Horizontal Comparison
• Find max. and min.
Line Graph
• Pay attention on time change
• First and Last Time Comparison
• Significant Transitioning Points
• X and Y-axis • Slope Calculation to see
change Bar
Chart
• Comparison of different items (Max and Min)
• If more than 1 bar combine, compare the bars. Check out the genre if such case
Pie Chart
• The largest proportion and the least proportion
• Arrange the order and the ratio
In DSE, basic chart will commonly appear because to test more on your organization ability. Really testing your understanding about statistical reading.
15 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Hint and Techniques
1. Use percentage change formula whenever
talking about time change (E.g. Difference
between 2002 and 2003)
𝑃𝑒𝑟𝑐𝑒𝑛𝑡𝑎𝑔𝑒 𝐶ℎ𝑎𝑛𝑔𝑒 =𝑁𝑒𝑤 − 𝑂𝑙𝑑
𝑂𝑙𝑑× 100%
2. Do comparison
a. Horizontal Comparison (Different item, same
category)
b. Vertical Comparison (Same item, different
category)
c. Overall Comparison (The overall trend)
d. Significant Data (E.g. Max. and Min.
distance, drastic change…)
3. Overall Trend (5-20 words)
a. Concluding and explaining the phenomenon
of the society
4. Categorize into groups
a. For simpler organization and show critical
understanding (E.g. U.S.A. -> Developed
Country, Conceptualization!!!)
b. Set different indicators by your own (E.g.
Over half/less than half, Easy/Hard…)
5. Use descriptive terms/adjectives to describe the
statistic (E.g. Drastically decrease, stable…)
16 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Student Common Questions
Question: If the source figure is not even or cannot see clear
implications, what can I do?
Solution 1: Don’t do it, find another objective/implication
Solution 2: Fluctuation - From the source, you can see that
the number is not even between each form, therefore, the
______________________ is very fluctuated, affecting
_________________________.
Solution 3: There are no direct relationship between the 2
objectives
Fluctuation: Unstable
*** This 4 marks is the easiest 4 marks to get in LS exam or
even in DSE, you must try to get 4 out of 4 in this question in
order to replace mark deduction in other questions.***
If you really don’t know, then we suggest you guys to search
for sub-totals and total amounts
17 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Special Words of Trend Descriptions (Terms)
Term Meaning Suggest to use in
Gradually Increase/Decrease
Increased/decreased Slowly Trend
Steadily Increase/Decrease
Increased/decreased in a stable rate
Trend
Fluctuated Not stable, ups and downs Trend Sharply Increase/Decrease
Increased/decreased significantly, a lot
Trend
Drastically Decrease Decreased a lot Trend Continuously Increase/Decrease
Increased/Decreased in a similar rate
Trend
Stable/In a constant rate
Stable, not fluctuated, normal, same
Trend
Improving The situation becomes better Trend Deteriorating The situation becomes worser Trend Generally / Mainly The overall situation Pattern Positively/Negatively Correlated with
Positive/Negative Relationship
(正比/反比關係)
Pattern
Usually Increase/Decrease
Usually Increase/Decrease
(整體上升/下降)
Pattern
Higher/Lower 比較低/比較多 Features
Changed 改變 Features
Performs well/badly 表現良好/惡劣 Performance
In Shrinkage 逐漸式微 General Description
In lead 帶頭領導(上升) General Description
Leaping forward 躍升 General Description
Falling Back 退後 General Description
The result is improved/worsen
成績進步/倒退 Performance
18 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Demonstration 1
Source A – Statistics of Agriculture in Hong Kong
(Source: LS_DSE_2016 Paper 1_Q1 Adapted Source A)
(a) Describe the trends in agriculture in Hong Kong as shown in source A. (4 marks)
19 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Essay (4/4 marks)
Firstly, according to the source, the area of land
for agriculture in Hong Kong keeps decreasing. The area
decreases sharply from 1995’s 2070 tones to 830 tones in 2005
which has decreased for around 60%, more than half. It then
gradually decreases from 2005’s 830 tons to 2013’s 730 tons
which is just only around 12%. Comparatively, modern
agricultural area of land decreases less than before. However,
the land area for agriculture is constantly decreasing.
Therefore, Hong Kong agricultural development is dropping
down.
Secondly, according to the source, the local
vegetable production amount in 1995 is 88000 tons. It then
sharply decreased to only 25000 tons in 2005 which is around
71.5%. After that, it gradually decreased to 16000 tons in 2013
which is only 36%. Therefore, the local vegetable production
amount keeps decreasing. The development of Hong Kong
agriculture is dropping down.
20 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Thirdly, by considering the proportion of local
vegetable production amount to the total vegetable eating
amount. In 1995, the proportion of local vegetable production
is around 17% of the total amount. The proportion then turn
distant to only 1.9% of the total amount in 2013, that’s a 15.1%
distance. From this, you can know that the local vegetable
production contains a very less amount of total vegetable
amount in Hong Kong. Therefore, the agricultural
development of Hong Kong is gradually declining and has not
been an important part in Hong Kong economic
development.
✓ Clearly describes the 3 trends of Hong Kong
agricultural situation
✓ Describe the 3 trends in details and with appropriate
calculation and conclusions
✓ Appropriately and wisely use the sources provided
correctly
✓ Clear structure and coherent
More Examples from HKEAA:
http://www.hkeaa.edu.hk/en/HKDSE/assessment/subject_inf
ormation/category_a_subjects/lib_st/sp/2016.html
21 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Demonstration 2
(Source: LS_DSE_2017 Paper 1_Q1 Adapted Source A)
(a) Describe the pattern of acceptance of different ethnic minority groups by Hong Kong ethnic Chinese as shown in source A. (4 marks)
Demonstration Example from HKEAA: http://www.hkeaa.edu.hk/tc/HKDSE/assessment/subject_information/category_a_subjects/lib_st/sp/2017.html
22 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Essay (4/4 marks)
From the source, the least minority who Hong
Kong people can accept them are the Africans and the
highest acceptance minority are the Japanese. Firstly, the
acceptance of Africans is only ranging from 18.6% to 70.3%
but the acceptance of Japanese is ranging from a minimum
of 71.6% to the highest 92.9%. The minimum acceptance of
Japanese is even higher than the maximum of the Africans.
In general, Hong Kong people have higher acceptance with
people in developed countries as shown in the statistics such
as Americans, Europeans and Japanese. However, they have
lower acceptance with people in developing countries such
as Africans, South Asians like India, Nepal, Pakistani….
Therefore, Hong Kong people have different level of
acceptance with different ethnic minorities.
Secondly, Hong Kong people can accept being
friends with ethnic minorities is the highest. Ranging from the
least, 70.0% by the South Asians and the highest 92.9% by
the Japanese. Hong Kong people have a high degree of
acceptance being friends with ethnic minorities. The least
acceptance is marrying with them, it only ranges from the
23 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
least 18.6% by the Africans and the highest only 71.6% by the
Japanese. Therefore, in these close relationship events, Hong
Kong people cannot have a high degree of acceptance with
them.
✓ Shows 2 detailed and clear trends of the mode of
acceptance of the ethnic minorities
✓ Clearly and describe the modes in a detailed way
✓ Appropriately and wisely use the sources correctly
✓ Clear structure and coherent
Hint and Strategies***
• You may not necessarily write 3 trends, you may also
write 2 trends as long as they are detailed and clear.
• For mode questions, you require more generalization:
o You need to generalize more on the statistics
o Suggestion: Group them into different groups
▪ E.g. Africans, South Asians -> Developing
Countries, Americans, Japanese -> Developed
Countries
▪ E.g. Being friends, studying in same classroom
-> Low intimacy, marriage -> High intimacy
24 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Demonstration 3
(Source: LS_DSE_2015 Paper 1_Q3 Adapted Sources A, B)
(a) Based on the source, compare the level of happiness in Singapore and Hong Kong, and compare the patterns of satisfaction with quality of life in these two places. (5 marks)
25 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Demonstration from HKEAA: (Level 5)
26 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Demonstration from HKEAA: (Level 3)
(Source from HKEAA: http://www.hkeaa.edu.hk/en/HKDSE/assessment/subject_information/category_a_subjects/lib_st/sp/2017.html )
27 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Demonstration 4
(Source: http://www6.cityu.edu.hk/puo/newscentre/publication/CT_Magazine/issues/issue51_May16/Happy.pdf)
(Modified from LS_DSE_2017_Paper 1_Q3(a))
(a) Based on the source, compare the level of happiness
in Japan, South Korea and Hong Kong, and compare
the patterns of satisfaction with quality of life in these
3 places.
(5 marks)
28 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Essay (5/5 marks)
Firstly, Hong Kong’s overall happiness index is the
lowest comparing to Japan and South Korea. The full mark
is 10 and according to the source, Hong Kong’s overall
happiness index mean score is just 6.83 but comparing to
Japan and South Korea which are 7.41 and 7.01 respectively
where Japan is higher than Hong Kong 0.58 marks and
South Korea is higher than Hong Kong for 0.18 marks. Hong
Kong is the lowest where it cannot even reach the 7-mark
level. Therefore, comparing to the 2 developed Asian Cities,
Hong Kong has the lowest happiness index.
Secondly, the worst measure item towards quality of
life in Hong Kong is housing. The mean score is just 4.05
which it didn’t even get a pass. Among all measuring items
in Hong Kong, housing has the worse result. Comparing to
Japan’s 6.45 marks and South Korea 6.19 marks, there is a
more than 2 marks difference. Therefore, Hong Kong has a
very poor result in housing. Hong Kong’s housing situation is
not satisfactory.
29 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Thirdly, Hong Kong’s quality of life is generally worse
than the 2 other Asian countries in all aspects. 3 out of 6
measuring items in Hong Kong didn’t get a passing score (5)
where Japan has get all pass and South Korea had just 1
failed. Furthermore, by comparing all items, Hong Kong
always has the least score among the 2 other Asian countries.
Such as the highest score in Hong Kong – 6.62 on leisure and
entertainment, Japan and Singapore had an even higher
score which is 7.78 and 7.92 respectively, higher than Hong
Kong for more than 1 mark and for all other items, Hong
Kong always has the least mark. Therefore, Hong Kong’s
quality of life is worse than the 2 other compared Asian
countries.
✓ 3 Trend Objectives
✓ Comparing between Hong Kong, Japan and South
Korea but remain Hong Kong as main objective
✓ Calculation and Clear Comparison
✓ Comparing between the same category and different
category
✓ Clear Structure
30 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Essay (3/5 marks)
Overall, Hong Kong has the lowest overall level of
happiness. It is just 6.83 marks which is lower than Japan
and South Korea.
Also, the best performance of Hong Kong is leisure
and entertainment, Hong Kong scored 6.62 which has the
highest score among all Hong Kong sub-items. The worse
performance of Hong Kong is Housing, Hong Kong only
scored 4.05 which has the lowest score among all Hong
Kong sub-items.
The best performance of Japan is leisure and
entertainment which they scored 7.78. The worse
performance of Japan is environment which they only
scored 5.27.
The best performance of South Korea is leisure and
entertainment which they scored 7.92. The worse
performance of South Korea is Politics and Society which
they only scored 4.77.
31 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
✓ Showed the overall situation and Hong Kong
Situation
✓ Structure is quite clear and organised
✓ Described the Basic Trend for Hong Kong Happiness
Index
Did not compare between Hong Kong and Japan +
South Korea (Did not compare with different
categories)
No calculation of comparison
No meaning of significance of the marks
Hint for Comparing Trend Questions:
▪ Must compare between different categories
o Compare the largest/least amount of the own
category to the same item of the other category
▪ Should include the overall situation, describe the trend
of the overall situation
▪ Set your own indicator to define scores (E.g. Passing
Score is 50% -> Most common)
32 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Demonstration 5
Source A - The % contribution of different types of industries to Gross Domestic Product (GDP) in China
Year 1990 1995 2000 2005 2010 2013 Primary Industry
27.1% 20.0% 15.1% 12.1% 10.1% 10.0%
Secondary Industry
41.4% 47.1% 45.9% 47.4% 46.7% 43.9%
Tertiary Industry
31.5% 32.9% 39.0% 40.5% 43.2% 46.1%
*Primary industry includes farming, forestry etc. Secondary industry includes manufacturing industry, construction industry etc. Tertiary Industry includes retailing, financial services, etc.
Source B - The percentage of rural population in the total population of China
Year 1990 1995 2000 2005 2010 2013 Percentage of
Rural Population 73.6 71.0 63.8 57.0 50.1 46.3
Source C – A cartoon about the incomes in urban and rural areas in China
(Source: LS_DSE_2015 Paper 1_Q1 Adapted Sources A, B and C)
33 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
(a) With the reference to the source, describe the
changes in the condition of sannong (agriculture,
rural area and farmer) in China. (5 marks)
(Modified from LS_DSE_2015_Paper 1_Q1(a))
~Notes~
More demonstration from HKEAA: http://www.hkeaa.edu.hk/tc/HKDSE/assessment/subject_information/category_a_subjects/lib_st/sp/2015.html
34 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Sample Essay (5/5 marks)
Firstly, according to source A, the performance in
agriculture in China is in shrinkage. From the source, the
contribution of GDP in Primary Industry which mainly
includes agriculture has decreased a lot from 27.1% in 1990 to
10.0% in 2013 which is more than 1 times. Oppositely, the
contribution of GDP in Secondary Industry and Tertiary
Industry has an increasing trend like in terms of Secondary
Industry, it has increased from 41.4% in 1990 to 43.9% in 2013
which has increased for 2.5%. In terms of tertiary industry, it
has increased from 31.5% in 1990 to 46.1% in 2013 which has
increased for 14.6%. Therefore, Primary industries and
agriculture had been shrivelling in China.
Secondly, the percentage of rural population
in the total population of China has stably decreasing. From
source B, the percentage of rural population in 1990 is 73.6%,
it then decreased to only 46.3% in 2013 which is less than half
of the total population, it decreased for around 30%.
Therefore, you can see people move to urban areas due to
rapid urbanization and industrialization. The proportion of
rural population is getting more less.
35 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Thirdly, according to source C, the income of
farmers cannot catch up with urban residents. From the
cartoon, it shows that a farmer carrying a piece of Renminbi,
hitting the horse hardly to make the horse move faster.
However, in another side, there is a high-speed train
carrying the income of urban residents carrying a bunch of
Renminbi. The train is a lot faster and further away than the
farmers. This implies that the income of farmers cannot
catch up with income of urban residents and this shows the
disparity between the rich and the poor ~ The rich urban
residents and the poor farmers. Therefore, more and more
people leave rural areas to urban areas.
In conclusion, the condition of sannong is
getting more shrivel. There is a huge change in sannong in
China and less and less people deal in with agriculture, rural
areas and farmers.
✓ Can describe the change of sannong in time
✓ Uses simple calculation to describe the change
✓ Uses the sources widely and correctly
✓ 3 Clear Changes descriptions
✓ Clear Structure and coherent
36 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Exercise for Practice I
***For Exercises, you may complete it by your own and
contact with LS Hub members, you can complete it and
submit it to LS Hub for free marking or we will send you
the marking scheme via email to your own. Any queries,
please contact LS Hub. ***
(Source: LS_DSE_2012_Practice Paper_Q2)
(a) Using source A, identify the trends as shown in the
statistics on Hong Kong Young People aged 18-22.
(Retrieved from LS_DSE_2012_PP_Q2(a)) (4 marks)
(b) ***What might have been the challenges for young
people aged 18-22 in 2006 as reflected in source A?
Explain your answer. (6 marks)
(Retrieved from LS_DSE_2012_PP_Q2(b))
37 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Exercise for Practice II
(Source: LS_DSE_2013_Practice Paper_Q1)
(a) Compare the carbon monoxide level data on the two
days shown in source A. (4 marks)
(Retrieved from LS_DSE_2013_PP_Q1(a))
(b) “The idling engine ban is an effective policy to control
the carbon monoxide level” Do you agree? Explain
your answer with the reference to Source A and your
own knowledge. (6 marks)
38 | P a g e © L S H u b Skill 01 – Data/Statistical Interpretation
Consolidation and Summary
1. Find the following things: a. Largest Significant Data b. Smallest Significant Data c. The Most Significant Data/Change d. 3 Objectives that can be described
i. Age ii. Gender iii. Amount iv. Year v. Observe the X-axis vi. Observe the Y-axis
2. Calculate the changes between different data
3. Vertical Analysis - Different year performance
4. Horizontal Analysis - Different items
performance (Largest and smallest) within one year
5. Connect the relationship between your data
and the phenomenon in the society E.g. From the chart, you can see that more males suicide than female, it shows that there may be gender stereotypes giving more pressure on male than female.
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