Plan to investigate a business issue

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Reference no: EM132176325

Aims:

Demonstrate understanding of the nature of statistics and basic skills in using statistical techniques relating to relevant data management methods and quantitative research methodology to business applications.

Overview: This assessment focuses on business research studyfor a selected business or industry focusing on method selection and methodological defense for quantitative research. The students should be able to select an appropriate methodology for the research in question (2,000 words)

Referencing

- You must correctly reference all submitted assessments according to APA 6th ed. conventions for both in-text citations and in your reference list.
- You are required to reference because it is important to acknowledge the original source of other people's ideas, research and opinions, as well as providing evidence of having undertaken independent research to support your own opinion/point of view/hypothesis/argument.
- Your tutor can provide further information and guidance on referencing and also direct you to referencing guides and resources.

Learning Outcomes:

The learning outcomes associated with this assessment are:

LO1. Explore data analysis and handle dirty data with an understanding of how appropriate data management and analysis can be of value to existing and new companies.
LO2. Use concepts of probability and statistical modelling
LO3. Use concepts of populations and samples

Assignment 1

Statistical analyses of data are used by businesses and industries for analyzing and presenting available data in a useful format. For managers and members of the C-suite, such statistical analyses provide insight into how business units are performing relative to an organisations goals and objectives.

This assignment requires you to prepare a quantitative research plan(research proposal) for investigating a business related problem involving aquantitativedata set.

Select abusiness organisation or business domain (real or hypothetical business, ideally a business or industry in which you are trying to seek employment in the future) for your investigative study and use it as the basis for your discussion on the assignment tasks listed below.

Task 1 - Plan to investigate a business issue or problem (LO1)

Problem definitionand planning the research investigation

Identify the business problem to be solved or business process to be improved and write a paragraph explaining clearly what you have decided to investigate. Your discussion here should focus on the research projectoutcomeswhich should be defined clearly in the form of hypothesis statement for quantitative research.

Your research should make use of secondary data collected from data sources readily available from your reference sources.Please discuss your business problem/business process improvement with the tutor and obtain approvalbefore proceeding to your data collection/preparation stage.

The following statistics schematic helps you to visualize the research process that you are planning to undertake on your selected topic:

66_figure.jpg

Task 2 - Checking on the suitability of the available data

Data preparation

NOTE: You are NOT required to provide inferences/solutions from the data set in this Assignment 1. Marks will not be awarded for inferences/solutions at this stage (Inferences/solutions are requiredonly in Assignment 2 which will be a continuation of Assignment 1 that has a data set appropriate for proposed research and data analysis).

- Your data should contain at least one independent variable and one dependent variable connected with the research question you wish to solve through data analysis.Compile sample dataon minimum of two variables or more around the business problem or business opportunity discussed above and prepare sample datasets required for statistical analyses (to be carried out in Assignment 2).

- Conduct a search looking for secondary data related to the research and select relevant datasets you propose to use for solving your defined problem. Focus your search of secondary data on real or hypothetical case studies where the business issue you have identified have been researched. You may find such data in websites on statistical analysis, software vendor website case studies onoperational databases containing ongoing transactions e.g. CRM (Customer Relationship Management), ERP (Enterprise Resource Planning)& SCM (Supply Chain Management) databases.

- You must ensure that the sample data are obtained from a representative sample of the population of variables under investigation. Please select the sample wisely and avoid using bulky data sets for the analyses. Determine the suitable sample size using the relevant formula. Please ensure that your sample datasets are suitable for descriptive statistics (quantitative summaries of datasets), statistical modelling purposes such as correlation/regression models including probability concepts and other inferential statistical analyses.

- Prior to starting your data analysis (which needs to be done only in Assignment 2), the data should be compiled, characterized, cleaned, and may be transformedinto an appropriate form for further processing.

Task 3

Method selection and methodological defense -

For this task, you are required to explain:

- why you selected a particular quantitative research methodology (e.g. Deductive and/or positivist or post-positivist approach) and methods (Statistical techniques and methods learnt in class up to week 8) used in your research;

- why you did not make any other choices of methodologies (Qualitative research methodologies such as Action research, Case study, Grounded theory, Narrative research, Phenomenology, etc.) and methods (Coding, Triangulation etc.); and

- how effective the choices you made in enabling you to acquire useful data/information and draw factual and conceptual conclusions (i.e. how statistical analyses would be used in the selected business and how they will contribute to organisational decision-makingwiththe case study example).

Verified Expert

The report is about data management in Germany for E-car company. AT this level overview of strategy and mode of continuation presented. Justification of methods and expectations presented as well in the report.

Reference no: EM132176325

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Reviews

len2176325

11/25/2018 8:54:10 PM

Presentation (Written expression, formatting, referencing- (APA 6th edition) etc. (10%) Excellent clear, concise style of written expression. Neat and tidy presentation and formatting, accurate APA 6th edition referencing (8 - 10) Good, concise style of written expression. Good and tidy presentation and formatting, accurate APA 6th edition referencing (5.5 - 7.5) Satisfactory style of written expression. Neat and tidy presentation and formatting, accurate APA 6th edition referencing (3.0 - 5.0) Poor style of written expression. Neat and tidy presentation and formatting, accurate APA 6th edition referencing (1.0 - 2.5) Unacceptable style of written expression. Neat and tidy presentation and formatting, accurate APA 6th edition referencing (0)

len2176325

11/25/2018 8:53:48 PM

(8 - 10) A good discussion of the expected outputs of the statistical analyses and their application in the business decision-making (5.5 - 7.5) A satisfactory discussion of the expected outputs of the statistical analyses and their application in the business decision-making (3.0 - 5.0) A poor discussion of the expected outputs of the statistical analyses and their application in the business decision-making (1.0 - 2.5) An unacceptable discussion of the expected outputs of the statistical analyses and their application in the business decision-making (0)

len2176325

11/25/2018 8:53:30 PM

Task 3(b): Explanation on why other methodologies and methods are not suitable for the case study example (10%) Excellent account on non-relevant methodologies and methods not suitable for quantitative data analyses (8 - 10) Good account on non-relevant methodologies and methods not suitable for quantitative data analyses (5.5 - 7.5) Satisfactory account on non-relevant methodologies and methods not suitable for quantitative data analyses (3.0 - 5.0) Poor account on non-relevant methodologies and methods not suitable for quantitative data analyses (1.0 - 2.5) Unacceptable account on non-relevant methodologies and methods not suitable for quantitative data analyses (0) Task 3(c): Discussion on the effectiveness of the methodology and methods chosen and how the statistical analyses would help in decision-making (10%) An excellent discussion of the expected outputs of the statistical analyses and their application in the business decision-making

len2176325

11/25/2018 8:53:14 PM

Task 3(a): Justification of the methodology and methods used in the case study example (10%) Excellent justification of the methodology and methods used in the quantitative research study(10% maximum) Good justification of the methodology and methods used in the quantitative research study (5.5 - 7.5) Satisfactory justification of the methodology and methods used in the quantitative research study (3.0 - 5.0) Poor justification of the methodology and methods used in the quantitative research study (1.0 - 2.5) Unacceptable justification of the methodology and methods used in the quantitative research study(0)

len2176325

11/25/2018 8:53:08 PM

Task 2(c): Explanation of the use of data obtained from representative samples of the population suitable for intended statistical analyses (10%). Excellent usage of data obtained from representative samples of the population of variables under study for inference purposes (10% maximum) Good usage of data obtained from representative samples of the population of variables under study for inference purposes (5.5 - 7.5) Satisfactory usage of data obtained from representative samples of the population of variables under study for inference purposes (3.0 - 5.0) Poor usage of data obtained from representative samples of the population of variables under study for inference purposes (1.0 - 2.5) Unacceptable usage of data obtained from representative samples of the population of variables under study for inference purposes (0)

len2176325

11/25/2018 8:53:00 PM

Task 2(b): Preparation of datasets with dependent and independent variables and Discussion of how data are prepared for further processing (10%). An excellent account of the data preparation including the variables to be analysed including the data handling and cleaning prior to statistical analyses (8 - 10) A good account of the data preparation including the variables to be analysed including the data handling and cleaning prior to statistical analyses (5.5 - 7.5) A satisfactory account of the data preparation including the variables to be analysed including the data handling and cleaning prior to statistical analyses (3.0 - 5.0) A poor account of the data preparation including the variables to be analysed including the data handling and cleaning prior to statistical analyses (1.0 - 2.5) An unacceptable account of the data preparation including the variables to be analysed including the data handling and cleaning prior to statistical analyses (0)

len2176325

11/25/2018 8:52:53 PM

Task 2(a): Evidence of independent search on the Internet and other sources on the business issue (10%) An excellent effort on gathering information required for the quantitative analysis of the business issue (8 - 10) A good effort on gathering information required for the quantitative analysis of the business issue (5.5 - 7.5) A satisfactory effort on gathering information required for the quantitative analysis of the business issue (3.0 - 5.0) A poor effort on gathering information required for the quantitative analysis of the business issue (1.0 - 2.5) An unacceptable effort on gathering information required for the quantitative analysis of the business issue (0)

len2176325

11/25/2018 8:52:44 PM

Task 1(b): Planning of the Research Project investigation (5%) An excellent, well thought through research plan describing how the study will be undertaken (4.0 - 5.0) A good research plan describing how the study will be undertaken (2.6 - 3.5) A satisfactory research plan describing how the study will be undertaken (1.5 - 2.5) A poor research plan describing how the study will be undertaken (0.5 - 1.5) An unacceptable research plan describing how the study will be undertaken (0) Task 1(c): Description of the Data Sets required for the analyses of the Business issue (5%) An excellent description of the data sets required for the analysis of the business issue (4.0 - 5.0) A good description of the data sets required for the analysis of the business issue (2.6 - 3.5) A satisfactory description of the data sets required for the analysis of the business issue (1.5 - 2.5) A poor description of the data sets required for the analysis of the business issue (0.5 - 1.5) An unacceptable description of the data sets required for the analysis of the business issue (0)

len2176325

11/25/2018 8:52:37 PM

Data Management (BF001) Marking Schedule for Assignment 1 Excellent (100% maximum) Good (80% maximum) Satisfactory (60% maximum) Poor (40% maximum) Unacceptable (0% - 20%) Task 1(a): Problem definition for the Quantitative Research (20%) An excellent, well thought through problem definition for the investigation of the business issue (20 - 16) A good problem definition for the investigation of the business issue (11- 15) A satisfactory problem definition for the investigation of the business issue (6 - 10) A poor problem definition for the investigation of the business issue (1 - 5) An Unacceptable problem definition for the investigation of the business issue (0)

len2176325

11/25/2018 8:52:26 PM

Marks allocated for the overall written presentation of the Tasks 1 to 3 (see instructions below) – 10% Instructions and format • This assessment must be completed individually using an appropriate format. • Limit your report to about 2,000 words. Spreadsheets attached as appendices will not be counted towards this limit.Include the word count at the end of the report. Word count does not include words in title page, list of references and appendices. • Be consistent with your formatting for things such as headings, sub-headings and numbering. • Use Times New Roman (size 12) with 1.5 line spacing. • You may also include appendices. Appendices contain extra or supplementary material which gives extra information too detailed to be put in the main report but you think will help illustrate some aspect of the report. • Use APA 6 convention for both in-text and in your reference list. Wikipedia is not considered a good source of reference.

len2176325

11/25/2018 8:52:16 PM

Submission Format: The submission will be in the form of a type-written document. A final soft copy of the assessment mustbe submitted via Turnitin on NZSE-Moodleroomsonline by the due date. Standard of English for Level 7 Business Assessments • All student work that is submitted for assessment must meet the English requirements for Level 7business writing. • Any submitted assessment or part of an assessment that falls below the acceptable standard of the English requirements for Level 7 business writingwill not be marked. • If you have any questions regarding the English requirements for Level 7 business writing, please talk to your tutor.

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