Analysis, Interpretation & Managerial Guidance
Tutorial Workshop Report
Analysis, Interpretation & Managerial Guidance
RBUS2900
Jake Lambert
42354066
Due: 22/10/2012
Table of contents Page no.
1.0 Task 1 - Catalogue Data 3 1.1 Cross Tabulations 3 1.2 Correlation Analysis 5 1.3 Chi Square test 5
2.0 Task 2 - Clothing Expenditure 7 2.1Indepdant t-test 7 2.2 Grouped t-test 8
3.0 Task 3 - Graduate Pay 8 3.1 ANOVA 1 8 3.2 ANOVA 2 9
4. 0 Multiple Regression Analysis 9
5. 0 Appendix 11 5.1 Appendix 1 - P-plots 11 5.2 Appendix 2 - Tests of normality 13 6.0 References 14
1.0 Task 1 - Catalogue Data 1.1 Cross Tabulations
Task 1 requires the completion of cross tabulations for variables in the data set. This analysis is appropriate for testing the statistical significant between groups of two less-than interval variables (Zikmund, et al. 2010). Although this type of analysis does not show how strong the association between variables is, relationships are identified and provide a basis for managerial action. All cells have more than 5 observations and thus there should be no issued regarding the observed frequencies. Data should be observed to better understand the relationship between variables relating to catalogue readers. Successful analysis will allow managers to make more informed decisions and more efficiently allocate resources and time. Q1 * Q2 Crosstabulation | | Q2 | Total | | Female | Male | | Q1 | 30 or younger | Count | 168 | 113 | 281 | | | % within Q1 | 59.8% | 40.2% | 100.0% | | 31 to 55 | Count | 199 | 297 | 496 | | | % within Q1 | 40.1% | 59.9% | 100.0% | | 56 or older | Count | 128 | 74 | 202 | | | % within Q1 | 63.4% | 36.6% | 100.0% | Total | Count | 495 | 484 | 979 | | % within Q1 | 50.6% | 49.4% | 100.0% |
Based on this qualitative comparison it can be
Analysis, Interpretation & Managerial Guidance
RBUS2900
Jake Lambert
42354066
Due: 22/10/2012
Table of contents Page no.
1.0 Task 1 - Catalogue Data 3 1.1 Cross Tabulations 3 1.2 Correlation Analysis 5 1.3 Chi Square test 5
2.0 Task 2 - Clothing Expenditure 7 2.1Indepdant t-test 7 2.2 Grouped t-test 8
3.0 Task 3 - Graduate Pay 8 3.1 ANOVA 1 8 3.2 ANOVA 2 9
4. 0 Multiple Regression Analysis 9
5. 0 Appendix 11 5.1 Appendix 1 - P-plots 11 5.2 Appendix 2 - Tests of normality 13 6.0 References 14
1.0 Task 1 - Catalogue Data 1.1 Cross Tabulations
Task 1 requires the completion of cross tabulations for variables in the data set. This analysis is appropriate for testing the statistical significant between groups of two less-than interval variables (Zikmund, et al. 2010). Although this type of analysis does not show how strong the association between variables is, relationships are identified and provide a basis for managerial action. All cells have more than 5 observations and thus there should be no issued regarding the observed frequencies. Data should be observed to better understand the relationship between variables relating to catalogue readers. Successful analysis will allow managers to make more informed decisions and more efficiently allocate resources and time. Q1 * Q2 Crosstabulation | | Q2 | Total | | Female | Male | | Q1 | 30 or younger | Count | 168 | 113 | 281 | | | % within Q1 | 59.8% | 40.2% | 100.0% | | 31 to 55 | Count | 199 | 297 | 496 | | | % within Q1 | 40.1% | 59.9% | 100.0% | | 56 or older | Count | 128 | 74 | 202 | | | % within Q1 | 63.4% | 36.6% | 100.0% | Total | Count | 495 | 484 | 979 | | % within Q1 | 50.6% | 49.4% | 100.0% |
Based on this qualitative comparison it can be
References: Zikmund W., Babin B., Carr J., Griffin M., (2010). Business Research Methods, eighth edition, South -Western Cenage Learning Kask, Alex W. (1979). The CPA Journal. Regression and Correlation Analysis: Certified Public Accountant. 49 (10), 35. Robert W Platt. (1998). ANOVA, t tests, and linear regression. METHODOLOGIC ISSUES. 4 (1), 52. Jeffery Mason. (2008). What is a 1-Way ANOVA?. Available: http://statistics-help-for-students.com/What_is_a_1_Way_ANOVA.htm#.UIShGMXCFss. Last accessed 29 Sep 2012. Bruin, J. (2011). newtest: command to compute new test. Available: http://www.ats.ucla.edu/stat/spss/webbooks/reg/chapter1/spssreg1.htm. Last accessed Oct 10, 2012.