Business Statistics Report: International Trade Trends and Analysis

This report, prepared for a Business Statistics course (MA508), analyzes international trade trends, focusing on Australia and New Zealand. It examines the evolving landscape of international trade, globalization, and the impact of technology and policy. The report utilizes various data sources, including World Bank data, the Department of Foreign Affairs and Trade for Australia, and the Australian Bureau of Statistics, to analyze GDP, exports, and the influence of factors like consumer preferences and government policies. Statistical tools and charts are used to illustrate trends from 1980 to 2015, with an emphasis on quantitative and categorical data. The report concludes with a discussion of the robust export positions of Australia and New Zealand, highlighting the importance of globalization and changing trends, and suggesting further statistical analyses for improved insights. The report is available on Desklib, a platform that provides AI-powered study tools for students.

Running head: BUSINESS STATISTICS
Unit Code: MA 508 Business Statistics
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International trade has been constantly evolving and ultimately results in ambiguity of
the future technology and globalization or effects of policy. Additionally, the environment
appears to be evolving regularly particularly the landscape in Australia and New Zealand.
The interaction is considered to be highly overvalued from the constant and revolutionary
effect of the internet in the overseas nations for ascertaining the future rate of economic
growth. The substance associated with the same can be explained further in accordance with
the competence of the specific data and summarization on the future trends.
The evolving trend in the taste and preference of the consumers has not only broken
the territorial barriers but has also enhanced the international trade (Siegel, 2016).
Furthermore, the megatrends have highlighted the technological aspects with evolving
demands followed by policy and modernization have summarized the effect on the yearly
growth rate that accompanies the international increase in the percentage change over the
years ranging from 1980-2015(Chart 2, pg 11). According to this quantities data, the GDP of
Australia has been derived from the World Bank data in 2016 and the scale interval ranges
from the lower than 10% to around 25% of export as GDP (Lee & Peters, 2015). The data
derived is in accordance with the percentage increase through a time series graph transacting
with changes in export of international GDP.
The data from the chart 2 is generated from the variable export ranging from 1960 to 2015.
The data represents quantitative in nature having ration scale. The line graph in the data
illustrates the number of percentage irrespective of the probabilities.
The data can be improved through proper annexure of changes that could have been
highlighted arising from the changes with the help of average mean by making use of

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standard deviation of GDP growth. The description can be followed with the help of actual
data derived from the Department of Foreign Affairs and Trade for Australia stating the top 5
exporters in the interval of 5 years beginning from 1995 (Black, 2016). Ever since the year
1990 Japan has one of the better export market after China. Therefore, it can be predicted that
in the later part of years Japan and China would have strong grip on the market. The study
can be experimented and subjected to change in terms of the different factors that create an
influence in the markets.
The data chart 3 is generated from the from Department of Foreign Affairs and Trade
for Australia from 1995-2015. The data presented is categorical with no probabilities under
the nominal scale.
Subsequently, the exports are required to be figured due to the rise in the global
demand of primary products from the Chinese markets (Rhodes, 2015). The data from the
Australian and New Zealand has been undertaken from the Australian Bureau of Statistics
from June 2016 which represents the scale in accordance with the value amongst the goods
and services. The Australian exports have been illustrated with the help of more goods (75%)
however the composition of GDP have represented a constant growth with more percentage
of contribution from the services (77%) and the identical composition going to with New
Zealand together with the export of NZ $70.9 billion. The doughnut chart states that the
populations with the help of subset of export the composition of GDP (Keller, 2016). The
future of the trade forms the vital aspect of the lower process in order to have a better
composition among the products than services. According to the analysis of the OECD it has
been found that an increase of 10% in trade in the areas of both exports and imports as the
proportion of GDP is linked with a 4% increase in the output per working age person.

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The data chart 5 is derived from the Australian Bureau of Statistics in 2016 till the
year 2015 for the Internet Service provider. The data is quantitative having ration scale
depicting the growth in line chart.
In addition to this, the usage of internet in Australia has been constantly rising from
the year 2011 until the present date. The data sources obtained from the Bureau of Statistics
in the areas of Internet Service Provider Survey with the help of Deloitte’s computation and
the data has the scale of ratio (Jaggia et al., 2016). According to the description of the data
the sum of data downloads have been regularly increasing in New Zealand as compare to
Australia that has been below 100,000 Tb over the five year span. However, in the present
case a probability or of the possibility there are chances of increasing the volume that could
have resulted in certainty based on the decisions made.

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The data for the chart 11 has been derived from article of “The evolution of New
Zealand’s trade flows” by Zang (2009).
The drivers are additionally represented with the help of different factors that have
resulted in change over the period of five years particularly in the areas of service based
industries reflecting that the digital trends and technology makes into the top charts (Jacobs &
Chase, 2013). The stacked bar charts have depicted the percentage of the ratio scale
measurement in compliance with the survey result collected from the Chartered Accountants
Australia and New Zealand in 2016. The statistical results have been computed by using the
frequency distribution with the help of cumulative percentage which can be further illustrated
with the help of median and Ogive curve. From the data description it is found that there are
more changes in technology, changing taste and preferences and government policy
(Anderson et al., 2014). In addition to this, the agricultural sectors and forestry have less than
50% coverage by all the three drivers with more than 70% have been observed from
information, media and communication.

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The data is derived from the chart 12 (Chartered Accountants Australia and New
Zealand, 2016). There are large number of drivers of change that demonstrate the with the
help of broadly 4 drivers technology stating change in the consumer preference, policies and
others. The data is ordinal in nature with percentage of probabilities for each of the change.
On arriving at the conclusion it can be stated that both Australia and New Zealand has
a robust but efficient position of growing their exports with the help of globalization, policy
and changing trends in accordance with the summarized data. Moreover, the statistical tools
that might have further benefitted the results are from the experimental group and the usage
or normal distribution with probability that additionally reflects the deviation in the
responses. The survey obtained acted in the form of key sources of data derived from the
Australian Bureau of Statistics. Other sources with latest data in 2016 with statistical
inference of quartiles should have been justified on the export of data in order to obtain more

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clarity in changes. The trends can be guided with the help of identical series of data for
appropriate investigations on the changing trends.

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Reference list:
Anderson, D., Sweeney, D., & Williams, T. (2014). Modern business statistics with Microsoft
Excel. Nelson Education.
Black, K. (2016). Business Statistics: For Contemporary Decision Making: For
Contemporary Decision Making. Wiley Global Education.
Jacobs, R., & Chase, R. (2013). Operations and supply chain management. McGraw-Hill
Higher Education.
Jaggia, S., Kelly, A., Beg, A. B. M., Leighton, C., Olaru, D., Salzman, S., &
Sriananthakumar, S. (2016). Essentials of business statistics: communicating with
numbers. McGraw-Hill Education.
Keller, G. (2016). Modern Business Statistics. Cengage Learnig.
Lee, N., & Peters, M. (2015). Business statistics using EXCEL and SPSS. Sage.
Rhodes, C. (2015). Business statistics. Economic policy and statistics.
Siegel, A. (2016). Practical business statistics. Academic Press.