Make sure that the output tables are properly labelled and clearly indicate

Make sure that the output tables are properly

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of hypotheses tested. Make sure that the output tables are properly labelled and clearly indicate which set of hypotheses it tests. Examples for including SPSS output in your text. Table 1. Comparing the difference between 2007 and 2011 revenue (H1) Mean N Std. Deviation Std. Error Mean Pair 1 Firm revenue in 2011 2.33 61 .92 .17 Firm revenue in 2007 1.80 61 .85 .15 Paired Samples Test Paired Differences t df Sig. (2-tailed) Mean Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Lower Upper Pair 1 Firm revenue in 2011 Firm revenue in 2007 .53 .77 .10 .32 .74 5.15 60 .001 Number the tables Indicate which hypothesis is being tested
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5 Is the null hypothesis rejected? Clearly state the outcome of each hypothesis test and what it means in plain English. Please provide all SPSS statistical output from which you have derived your results including any steps in data cleaning and recoding . Failure to comply could result in 30% reduction in your final mark for this assignment. (c). Discussions of the managerial implication of your main findings Discuss the managerial implication of your main findings. For example, if you do find that customer satisfaction varies by income, how could your client use this information for its business decision making? This discussion should be based on the specific questions you proposed. This serves as a justification for your proposed research questions. Note that the managerial implication needs to be broadly consistent with the justification of MRP in section 1 . Appendices: descriptive characteristics of your main variables (see instruction for section 3., (a).4) Marking criteria 1. Problem definition (15% of assignment overall mark) Is the marketing research problem clearly defined and well thought-out? Is the justification sensible and appropriate? 2. Research approach and hypotheses (35% of assignment overall mark) Do the RQs provider a good coverage of the MRP components? Are they well thought-out? Are the constructs, variables and questionnaire questions correctly identified? Are appropriate statistical tests chosen to test the hypotheses? 3. Data analysis, findings and interpretation (40% of assignment overall mark) Are the statistical techniques correctly executed and the results correctly interpreted? Is the discussion of findings correct and sensible? Is the discussion of managerial implication sensible and broadly consistent with section 1? 4. Quality of writing and communication (10% of assignment overall mark) clearly explained; writing is cogent, lucid and flows naturally appropriate use of bullet points and tables Reads like a report, not a record of a Q&A session
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  • Two '16
  • Statistics, Null hypothesis, marketing research problem, MANAGERIAL IMPLICATION, assignment overall mark

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