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Assessment 1

The document provides statistical data on computer growth in ASEAN countries from 1978-1979. It includes tables showing the number of computer installations, manufacturers/agents, consultants/programmers, and service bureaus in each country for both years. The Philippines generally had the most installations and service bureaus, while Singapore saw the largest increase in manufacturers/agents. Overall, the region saw major growth in computers and related businesses between 1978-1979 as installations increased from 454 to 903 units and other categories roughly doubled.
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0% found this document useful (0 votes)
114 views4 pages

Assessment 1

The document provides statistical data on computer growth in ASEAN countries from 1978-1979. It includes tables showing the number of computer installations, manufacturers/agents, consultants/programmers, and service bureaus in each country for both years. The Philippines generally had the most installations and service bureaus, while Singapore saw the largest increase in manufacturers/agents. Overall, the region saw major growth in computers and related businesses between 1978-1979 as installations increased from 454 to 903 units and other categories roughly doubled.
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Kristine Elaine T.

Roco
BSMA 2-6
STAT20053

ASSESSMENT 1

1. Present the data in a well-organized and well-labeled statistical table.

     The following data appeared in the Asian Computer Yearbook 1978-1979, published by the
Computer Publication Ltd.  Computer growth during 1978 and 1979 in the ASEAN countries,
namely, Indonesia, Malaysia, Philippines, Singapore, and Thailand, was shown in terms of the
growth of the following:  installations; computer manufacturers and agents; consultants
programing services, and software houses;  and service bureaus.
Among the five countries, the Philippines had the most number of installations, having 196 in
1978 and increasing to 286 in 1979.  Indonesia had 15 in 1978 and 102 in 1979;.Malaysia with
70 and 175; Singapore with 98 and 228; Thailand with 75 and 112; totaling to 454 units in 1978
and remarkably increasing to 903 units in 1979.  Installations here referred to an in-house
installation which could comprise one or more computers.  It did not necessarily indicate a single
computer.  The increase in the number of computers was primarily accounted for by new
installations.  However in some countries such as Indonesia, the recorded increase in the number
of installations as well as of companies in the computer business was also a function of the
addition of entries which were not recorded in the previous year.  Regarding computer
manufacturers and agents,  Singapore exhibited the most distinctive increase from 8 in 1978 to
23 in 1979.  Indonesia had 6 in 1978 and 13 in 1979; Malaysia with 9 and 12; Philippines with
13 and 19; Thailand with 7 and 14; summing up to a total of 43 computer manufacturers and
agents in 1978 and 81 in 1979.  Then, consultants, programing services and software houses
quadrupled during the 2-year period, that is from 8 in 1978 to 32 in 1979.  For this case,
Indonesia had 1 in 1978 and 8 in 1979; for Malaysia the number in 1978 could not be determined
since no survey forms were returned but there were 4 in 1979; Philippines had 3 and 7;
Singapore had 2 and 10, and Thailand had 2 and 3.  Lastly, the Philippines again had the most
number of service bureaus, 4 in 1978 and 19 in 1979.  Indonesia and Malaysia had 1 and 5 each;
Singapore with 3 and 5; Thailand with 2 and 3; totaling to all service bureaus in 1978 and 37 in
1979.   

Asian Computer Yearbook 1978-1979


Computer Consultant
Manufacturing & programing Services Service
  Installation Agents and Software Houses Bureaus
  1978 1979 1978 1979 1978 1979 1978 1979
Indonesia 15 102 6 13 1 8 1 5
Malaysia 70 175 9 12 No Data 4 1 5
Philippines 196 286 13 19 3 7 4 19
Singapore 98 228 8 23 2 10 3 5
Thailand 75 112 7 14 2 3 2 3

Total 454 903 43 81 8 32 11 37

2. Portray the trend of “XXX” short-term debt since 2007 in the form of a graph.  You may
select the appropriate graph. The short-term debt of the XXX corporation for the year
2007-2018, in millions of pesos, is:
 
Year Short-term debt (P millions) Year       Short-term debt (P millions)
2007   124 2013           126
            2008 2025 2014                             59
            2009 1841 2015             1706
2010   619 2016                         2888
2011   915 2017                         3456
2012   469 2018                         3500

Trend of XXX Short-term debt, Year 2007-2018


4000
3500
3000
Short-term debt

2500
2000
1500
1000
500
0
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
Year
3.   Write a brief narrative of the main features of the data portrayed in the graph. 
                                       

                              Figure 1
                              Total Sales of “XXX” Corporations, Year 2007-2018

 The figure shows the trend of sales of XXX Corporations year ranging from 2007-2018.
The graph represent an upward or increasing line that indicates the positive growth of
sales. The graph has been clear and precise in stating how much per year was the sale of
the corporation and thus data presented became more accurate and can be defined well.
 From 2007 through 2018, this graph depicts XXX Corporation's total sales. The
company's total sales in 2007 were P4 billion. The company's sales are expected to
remain stable and grow in the next years. The company made a total sale of P8 billion in
2011. We can see that the corporation is making a minor development in terms of sales
over the following two years. The company's financial performance improved in 2014,
with total sales reaching P10 billion within the year. A year later, in 2015, the company's
total sales reached around P12 billion, a P2 billion increase over the previous year. The
company struggled a little in 2016, although total revenues increased marginally and did
not go below those of the previous year. In 2017, the company made a total sale of P14
billion, indicating that the year's operations were successful.

4. Compare the high and the low common stock prices since 2007 in a graph of your choice
for “XXX” Corporation.  Write a brief interpretation of the main features of the data
portrayed in the graph.  The high and the low common stock prices for the “XXX”
Corporation since 1983 are:
  Year High Low Year High     Low
2007 40.85 30.90 2013 72.00    45.75             
2008 40.85 30.00 2014    81.65    63.25     
             2009 40.85 29.25 2015 80.15    63.50        
2010 48.00 34.00 2016    75.35    60.25     
2011 64.75 32.00 2017    98.35    67.75
2012 51.75 39.65 2018    99.00    70.00

High and Low Common Stock Prices


Year 2007-2018
120
100
80
60
40
20
0
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
Year

High Low

From 2007 through 2018, this graph depicts a comparison of XXX Corporation's high and low
common stock prices. The high common stock price has remained at 40.85 for the first three
years, while the low common stock prices have declined marginally from 30.90, 30.00, and
29.25, respectively. The peak and low common stock prices both increased in 2010, reaching
48.00 and 34.00 respectively. In 2011, the high common stock price gradually grew to 64.75,
while the low common stock price fell to 32.00. The high common stock price is decreased to
51.75 in 2012. The low common stock price, on the other hand, increased by 39.65 percent in the
same year. In 2013, the high common stock price soared to 72.00, while the low common stock
price increased by 45.75. By 2014, both the high and low common stock prices had risen steadily
to 81.65 and 63.25, respectively. In 2015, both the high and low common stock indexes remained
constant.

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