Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Business Statistics | |||
| Reference | CB3099 | Version | 1 |
| Created | September 2022 | SCQF Level | SCQF 9 |
| Approved | July 2019 | SCQF Points | 15 |
| Amended | July 2019 | ECTS Points | 7.5 |
| Aims of Module | |||
|---|---|---|---|
| To provide the student with the ability to apply, evaluate and estimate concepts and techniques of business statistics. The students will learn the basics of using statistical methods in applications related to business and economics. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Assess the basics theory of probability and statistics and how it is applied to different kinds of hypotheses. |
| 2 | Evaluate the basic skills required for preparing and analysing business data. |
| 3 | Demonstrate the different concepts treated within the module with statistical software and Excel. |
| Indicative Module Content |
|---|
| Data and Statistical Thinking; Methods for Describing Data; Probability and Random Variables; Sampling Distributions; Interval Estimation; Hypothesis Testing; Simple Linear Regression, Multiple Regression Models. |
| Module Delivery |
|---|
| This module will be delivered in the 1st semester. The module is a lecture-based unit, supplemented by interactive tutorials and directed study, including case studies with real world data. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | N/A | 40 |
| Non-Contact Hours | N/A | 110 |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | N/A | 150 |
| Actual Placement hours for professional, statutory or regulatory body |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Examination | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3 |
| Description: | Closed-book examination | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| The calculation of the overall grade for this module is based on 100% weighting of EX1. An overall minimum grade D is required to pass the module. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | The student needs to achieve an A in EX1 |
| B | The student needs to achieve a B in EX1 |
| C | The student needs to achieve a C in EX1 |
| D | The student needs to achieve a D in EX1 |
| E | The student needs to achieve an E in EX1 |
| F | The student needs to achieve an F in EX1 |
| NS | Non-submission of work by published deadline or non-attendance for examination |
| Module Requirements | |
|---|---|
| Prerequisites for Module | None. |
| Corequisites for module | None. |
| Precluded Modules | None. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | QUATEMBER, A.: Statistik ohne Angst vor Formeln, 6. Auflage 2020, Pearson Studium |
| 2 | SYDSAETER K., HAMMOND P., STROM A., CARVAJAL A., Mathematik fuer Wirtschaftswissenschaftler - Basiswissen mit Praxisbezug, 5. Auflage, Pearson Verlag |