Business Statistics Report: Australia and New Zealand Analysis
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This report provides a business statistics analysis of economic trends in Australia and New Zealand. The analysis covers various aspects including exports, GDP, and internet usage, utilizing data from sources like the World Bank and Australian Bureau of Statistics. The report examines the impact of globalization, technological advancements, and policy changes on economic growth. It uses charts and graphs to illustrate trends and comparisons, such as the export markets of Australia and the increasing internet usage in both countries. The report also includes an examination of drivers of change within industries like information, media, and telecommunications. The author utilizes descriptive statistics to analyze the data and suggests further analysis with techniques like time series data and statistical inferences. The report concludes by emphasizing the importance of adapting to global changes and utilizing statistical methods for future predictions and detailed insights.

Running Head: BUSINESS STATISTICS
Business Statistics
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Author Note
Business Statistics
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1BUSINESS STATISTICS
There is always a changing nature in worldwide trade and this results in an uncertainty of
the new and emerging technologies and globalization or effects in the policies (Buckley &
Casson, 2016). Additionally the environment involves continuously the landscapes of New
Zealand and Australia. The communication with the two countries is greatly overrated with
constant and revolutionary impacts of the uses of internet in the international limits. These
factors influence in developing the economic rate of growth in the near future (Feige &
Vonortas, 2017). The factors relating to this growth can be then discussed broadly on the basis of
the efficiency of the acquired data and summarizing the trends from that data.
Chart 2 shows the exports of the countries Australia and New Zealand as a percentage of
the global GDP. The changes in the trends of the data and the fluctuations in it are shown
according to the preferences of the customers. These changes have worn out the geographical
barriers as well as initiated the international trade (Flanagan, 2017). These changes in the trends
show the changes in demands, technologies and globalization with lesser input costs. This
globalization data abridges the effects of growth rates over the year. This data has been collected
from the world Bank Data derived in 2016.
The variables in this data are year (Quantitative data) and percentage change in GDP
(Quantitative data).
This data shows the whole population of the country. Thus, this is descriptive statistics
and not inferential statistics.
The percentages show the increase percentages. They do not show the respective
probabilities.
The amount each year has been shown in the chart by the line graph. This helps in
comparing the data easily.
There is always a changing nature in worldwide trade and this results in an uncertainty of
the new and emerging technologies and globalization or effects in the policies (Buckley &
Casson, 2016). Additionally the environment involves continuously the landscapes of New
Zealand and Australia. The communication with the two countries is greatly overrated with
constant and revolutionary impacts of the uses of internet in the international limits. These
factors influence in developing the economic rate of growth in the near future (Feige &
Vonortas, 2017). The factors relating to this growth can be then discussed broadly on the basis of
the efficiency of the acquired data and summarizing the trends from that data.
Chart 2 shows the exports of the countries Australia and New Zealand as a percentage of
the global GDP. The changes in the trends of the data and the fluctuations in it are shown
according to the preferences of the customers. These changes have worn out the geographical
barriers as well as initiated the international trade (Flanagan, 2017). These changes in the trends
show the changes in demands, technologies and globalization with lesser input costs. This
globalization data abridges the effects of growth rates over the year. This data has been collected
from the world Bank Data derived in 2016.
The variables in this data are year (Quantitative data) and percentage change in GDP
(Quantitative data).
This data shows the whole population of the country. Thus, this is descriptive statistics
and not inferential statistics.
The percentages show the increase percentages. They do not show the respective
probabilities.
The amount each year has been shown in the chart by the line graph. This helps in
comparing the data easily.

2BUSINESS STATISTICS
The data in the chart 2 can be improved with the appropriate changes done. This will
summarize the changes from the average with the help of the standard deviation of the growth in
GDP (Kane et al., 2015). This can be explained with the help of ordinal data collected from the
Department of Foreign Affairs and Trade for Australia. The exporters of Australia has been
ranked and the top five of the countries has been listed in chart 3 over a five-year period from
1995. From the chart 3 it is clearly visible that since 1995, Japan has been the most important
export market for Australia followed by the country China. It can thus be predicted that in the
future, China and Japan would the leaders in the export markets of Australia.
The data in the following chart 3 is ordinal.
The top 5 export markets of Australia has been listed in the chart.
The study is experimental, and thus in the later years there is chance of the predictions to
change invariably.
The data in the chart 2 can be improved with the appropriate changes done. This will
summarize the changes from the average with the help of the standard deviation of the growth in
GDP (Kane et al., 2015). This can be explained with the help of ordinal data collected from the
Department of Foreign Affairs and Trade for Australia. The exporters of Australia has been
ranked and the top five of the countries has been listed in chart 3 over a five-year period from
1995. From the chart 3 it is clearly visible that since 1995, Japan has been the most important
export market for Australia followed by the country China. It can thus be predicted that in the
future, China and Japan would the leaders in the export markets of Australia.
The data in the following chart 3 is ordinal.
The top 5 export markets of Australia has been listed in the chart.
The study is experimental, and thus in the later years there is chance of the predictions to
change invariably.
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3BUSINESS STATISTICS
Chart 5 shows the internet usage of the two countries Australia and New Zealand. The
trend lines show that the internet usage in the two countries has been increasing continuously
starting from June 2016 until now. The data on the internet usage has been collected from the
Australian Bureau of Statistics. The data is based on the Internet Service Provider Survey
conducted by Deloitte. From the chart it can clearly be seen that the rate of increase in the
internet usage has constantly been increasing in New Zealand than Australia (Mokyr, Vickers &
Ziebarth, 2015). The usage of New Zealand has increased from 10,000 Tb in 2011 to 700,000 Tb
in 2016. In Australia, the usage has been below 100,000 Tb over the five years from 2011 to
2016.
The chart contains the variable year (Quantative variable) and internet usage in Tb
(Quantative variable).
The data is shown in a ratio scale.
The line graphs show the trends in the two countries of Australia and New Zealand and
thus can be easily comparable.
Chart 5 shows the internet usage of the two countries Australia and New Zealand. The
trend lines show that the internet usage in the two countries has been increasing continuously
starting from June 2016 until now. The data on the internet usage has been collected from the
Australian Bureau of Statistics. The data is based on the Internet Service Provider Survey
conducted by Deloitte. From the chart it can clearly be seen that the rate of increase in the
internet usage has constantly been increasing in New Zealand than Australia (Mokyr, Vickers &
Ziebarth, 2015). The usage of New Zealand has increased from 10,000 Tb in 2011 to 700,000 Tb
in 2016. In Australia, the usage has been below 100,000 Tb over the five years from 2011 to
2016.
The chart contains the variable year (Quantative variable) and internet usage in Tb
(Quantative variable).
The data is shown in a ratio scale.
The line graphs show the trends in the two countries of Australia and New Zealand and
thus can be easily comparable.
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4BUSINESS STATISTICS
Again, the exports has to be found out from the increase in the demands in the global
markets of the China products. The data on Australia and New Zealand in chart 5 has been
collected from the Australian Bureau of Statistics updated until June 2016. The values of the
goods and services of the countries Australia and New Zealand are given in the form of ratio in
scale. The data is shown in chart 11. The exports conducted from Australia contains more goods
(78%) but the composition in GDP shows that Australia conducts more exports in services
(77%). There is a difference in the opinions from the two graphs. The similar condition has been
shown for New Zealand as well. The total export of New Zealand has been of the value of
NZ$70.9 billion (Brown, Campbell & Crook, 2014).
The total exports of the GDP composition has been shown with the help of the doughnut
chart.
This chart has been used to show the comparison easily between the two countries
Australia and New Zealand.
Again, the exports has to be found out from the increase in the demands in the global
markets of the China products. The data on Australia and New Zealand in chart 5 has been
collected from the Australian Bureau of Statistics updated until June 2016. The values of the
goods and services of the countries Australia and New Zealand are given in the form of ratio in
scale. The data is shown in chart 11. The exports conducted from Australia contains more goods
(78%) but the composition in GDP shows that Australia conducts more exports in services
(77%). There is a difference in the opinions from the two graphs. The similar condition has been
shown for New Zealand as well. The total export of New Zealand has been of the value of
NZ$70.9 billion (Brown, Campbell & Crook, 2014).
The total exports of the GDP composition has been shown with the help of the doughnut
chart.
This chart has been used to show the comparison easily between the two countries
Australia and New Zealand.

5BUSINESS STATISTICS
The drivers have shown different factors which has illustrated significant changes over
the 5 year period mainly for the industries based on services (Curtis et al., 2014). It can be seen
that the information, media and telecommunications have occupied the top of the chart. The
digitalization and technology has been so famous in the past five years that their growth has been
most significant (Brown, Campbell & Crook, 2014). From the chart 12, it can also be seen that
the three drivers have less than 50 percent coverage for the industries such as forestry but media
and communication industry has been covered by the drivers by more than 70 percent.
The drivers have shown different factors which has illustrated significant changes over
the 5 year period mainly for the industries based on services (Curtis et al., 2014). It can be seen
that the information, media and telecommunications have occupied the top of the chart. The
digitalization and technology has been so famous in the past five years that their growth has been
most significant (Brown, Campbell & Crook, 2014). From the chart 12, it can also be seen that
the three drivers have less than 50 percent coverage for the industries such as forestry but media
and communication industry has been covered by the drivers by more than 70 percent.
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6BUSINESS STATISTICS
The stacked bar chart shows the top ranked drivers of change over the next five years in
the industry.
It shows the percentages of the ratio scales of measurements.
The results have been calculated using cumulative percentages of the frequency
distributions
The ogive curve can also illustrate the cumulative percentages.
With the help of the stacked histogram, the data can be easily compared.
With the help of the data, the changes in technology, government policies and changing
preferences can be forecasted following the past trends.
The stacked bar chart shows the top ranked drivers of change over the next five years in
the industry.
It shows the percentages of the ratio scales of measurements.
The results have been calculated using cumulative percentages of the frequency
distributions
The ogive curve can also illustrate the cumulative percentages.
With the help of the stacked histogram, the data can be easily compared.
With the help of the data, the changes in technology, government policies and changing
preferences can be forecasted following the past trends.
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7BUSINESS STATISTICS
As a conclusion, it is very clear that the economic condition of the two countries
considered in the report such as Australia and New Zealand is very strong but still its exports has
to grown through changing trends globalization and policy. The data can be further analyzed and
discussed through the use of appropriate statistical techniques such as with the use of Normal
probability distributions. The data of the surveys considered in this assignment has all been
collected from the Australian Bureau of Statistics with data updated until 2016. The changes in
As a conclusion, it is very clear that the economic condition of the two countries
considered in the report such as Australia and New Zealand is very strong but still its exports has
to grown through changing trends globalization and policy. The data can be further analyzed and
discussed through the use of appropriate statistical techniques such as with the use of Normal
probability distributions. The data of the surveys considered in this assignment has all been
collected from the Australian Bureau of Statistics with data updated until 2016. The changes in

8BUSINESS STATISTICS
the data could be shown with more clarity by using the techniques of statistical inferences. Time
series data can be used for showing the proper predictions in the future.
the data could be shown with more clarity by using the techniques of statistical inferences. Time
series data can be used for showing the proper predictions in the future.
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9BUSINESS STATISTICS
References
Brown, D. A., Campbell, K. S. W., & Crook, K. A. (2014). The Geological Evolution of
Australia & New Zealand: Pergamon International Library of Science, Technology,
Engineering and Social Studies. Elsevier.
Brown, D. A., Campbell, K. S. W., & Crook, K. A. (2014). The Geological Evolution of
Australia & New Zealand: Pergamon International Library of Science, Technology,
Engineering and Social Studies. Elsevier.
Buckley, P. J., & Casson, M. (2016). The future of the multinational enterprise. Springer.
Curtis, A., Ross, H., Marshall, G. R., Baldwin, C., Cavaye, J., Freeman, C., ... & Syme, G. J.
(2014). The great experiment with devolved NRM governance: lessons from community
engagement in Australia and New Zealand since the 1980s. Australasian Journal of
Environmental Management, 21(2), 175-199.
Feige, D., & Vonortas, N. S. (2017). Context appropriate technologies for development:
Choosing for the future. Technological Forecasting and Social Change, 119, 219-226.
Flanagan, S. (2017). Building resilience in Japan-China ties: a role for Australia.
Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not
technology, drives digital transformation. MIT Sloan Management Review and Deloitte
University Press, 14.
Mokyr, J., Vickers, C., & Ziebarth, N. L. (2015). The history of technological anxiety and the
future of economic growth: Is this time different?. The Journal of Economic
Perspectives, 29(3), 31-50.
References
Brown, D. A., Campbell, K. S. W., & Crook, K. A. (2014). The Geological Evolution of
Australia & New Zealand: Pergamon International Library of Science, Technology,
Engineering and Social Studies. Elsevier.
Brown, D. A., Campbell, K. S. W., & Crook, K. A. (2014). The Geological Evolution of
Australia & New Zealand: Pergamon International Library of Science, Technology,
Engineering and Social Studies. Elsevier.
Buckley, P. J., & Casson, M. (2016). The future of the multinational enterprise. Springer.
Curtis, A., Ross, H., Marshall, G. R., Baldwin, C., Cavaye, J., Freeman, C., ... & Syme, G. J.
(2014). The great experiment with devolved NRM governance: lessons from community
engagement in Australia and New Zealand since the 1980s. Australasian Journal of
Environmental Management, 21(2), 175-199.
Feige, D., & Vonortas, N. S. (2017). Context appropriate technologies for development:
Choosing for the future. Technological Forecasting and Social Change, 119, 219-226.
Flanagan, S. (2017). Building resilience in Japan-China ties: a role for Australia.
Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not
technology, drives digital transformation. MIT Sloan Management Review and Deloitte
University Press, 14.
Mokyr, J., Vickers, C., & Ziebarth, N. L. (2015). The history of technological anxiety and the
future of economic growth: Is this time different?. The Journal of Economic
Perspectives, 29(3), 31-50.
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