Business Statistics Report – Essay Example

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Calculation of reporting frequencies, as well as the mean, median, standard deviation, lower and upper quartile of operational ‘value’ is summated in graphical statistical narrative. Additional description is provided with the illustrations where required. Quantitative findings to all three division studies are derived from separate mining queries. Strategic interest in statistical data defined codification of any qualitative data in a nominal ‘coding’ structure for quantitative measure, analysis and reporting. Sampling in the study is of the ‘convenience’ sort in terms of given operational variables, grounded in organisational processes. The sample population is further determined by distinct functions with departments in correspondence with operational strategies in each unit.

Hypothesis Forecasting of operational competencies by three (3) Harangue Ltd units in the report will lead to better control of the ‘total’ strategic approach to the Company’s value chain; and ultimately future sustainability and profitability. Null hypothesis indicates that audit of information in the three organisational sections will be insufficient to project an adequate representation of strategic points of internal leverage requisite to the imposition of competitive advantage in the Australian and global market(s).

Analysis Analysis of the findings to the current Harangue Ltd, Adelaide study provides information on the state of operational competencies in alignment with business strategy. Methodological design, data collection, methodological assumptions and sampling preface the analysis to each Section’s Action Item. Computations are provided (Appendix B, C & D). Business modeling applications used in Excel dissemination of the findings to the three (2) unit investigation are published in graphical illustration in each department audit in the Report. Hypothesis testing of each Section was conducted in: 1) One-sample Test, 2) Simple Linear Regression analysis, and 3) Trend illustration of time-series forecasting.

Numerical descriptive measures implemented in coding and sorting data to the study are retained in sampling distributions in the three (3) Indices are correspondent to the three Sections: 1) Internet Data Index; 2) New Customers; and 3) Total Customers (Appendix A). Confidence Intervals to testing of the three (3) Action Items may vary in terms of reliability (Appendix E). The data drawn from the IT Unit is perhaps most reliable, in that abductive machine logic presorts the data for index.

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