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Level 7 Diploma in Logistics and Supply Chain Management

Statistical Analysis with SPSS

LSC706 · Business Research Methods — Week 9 of 16

CourseLSC706
Week9 of 16
SemesterII
TutorOnline in the course chat

This week’s topics

Statistical Analysis with SPSS

  1. Descriptive statistical analysis
  2. Inferential testing
  3. Correlation and multiple regression
  4. Interpreting statistical output
  5. Inferential Statistics FULL Tutorial: T-Test, ANOVA, Chi-Square, Correlation & Regression Analysis
  6. Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples)
  7. The Linear Model (Regression Part I)

What you will be able to do

  • 4.1 Propose techniques for use with quantitative and qualitative data.

Activity

Start with this week’s 3 videos, then: Seminar, guided reading and a short written task: propose techniques for use with quantitative and qualitative data.

Study materials

Videos

  • Inferential Statistics FULL Tutorial: T-Test, ANOVA, Chi-Square, Correlation & Regression Analysis · YouTube · Grad Coach · 13 min · for registered students
  • Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples) · YouTube · Grad Coach · 28 min · for registered students
  • The Linear Model (Regression Part I) · YouTube · Discover Statistics · 51 min · for registered students

Further resources

  • Principles of Data Science, ch. 4: Inferential Statistics and Regression Analysis · PDF · OpenStax, textbook chapter; pp. 155–222 · for registered students
  • Research Methods in Psychology, ch. 13: Inferential Statistics · PDF · Saylor Academy, textbook chapter; pp. 342–377 · for registered students
  • Introductory Business Statistics 2e, ch. 13: Linear Regression and Correlation · PDF · OpenStax, textbook chapter; pp. 547–627 · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
MidtermWeek 10
Course chat

Admitted students ask questions on this week’s page in the student portal: an AI assistant trained on the course answers first, and during the course’s timetabled classes Connect to your tutor brings your tutor into the chat, who may start a call if needed.

Open this week in the portal
Course plan
  • Week 1: Identifying and Appraising Research Problems
  • Week 2: Developing Research Aims and Objectives
  • Week 3: Conducting a Critical Literature Review
  • Week 4: Theoretical and Conceptual Frameworks
  • Week 5: Research Philosophies and Methodological Paradigms
  • Week 6: Research Design and Sampling Frameworks
  • Week 7: Quantitative Data Collection Instruments
  • Midterm: Midterm evaluation
  • Week 9: Statistical Analysis with SPSS
  • Week 10: Qualitative Data Collection and Analysis
  • Week 11: Synthesising the Comprehensive Research Proposal
  • Week 12: Applying Business Research Methods in practice: case studies
  • Week 13: Assignment workshop: research, planning and referencing
  • Week 14: Assignment workshop: drafting, feedback and improvement
  • Week 15: Review and coursework completion
  • Final: Final assessment and submission
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