# MIS10090 Data Analysis for Decision Makers

In the era of Analytics, there is a challenge to turn data into insight. Data Analysis is the application of statistical techniques to describe and explore a set of data with the objective of highlighting useful information. Data Analysis is used to support evidence-based decision making and so is a core part of Business Analytics.

This module is a foundation in data analysis for all business students and aims to serve the needs of subsequent courses in areas such as marketing, finance, accounting and business analytics. The three main areas introduced in this course are:
1. Quantitative Analysis and Descriptive Statistics: how to gather and interpret large volumes of data in order to describe the information in concise and useful ways. Practical exercises will use a spreadsheet tool such as Excel.
2. Probability and Distributions: discrete and continuous with examples from the real world
3. Inferential Statistics: how to infer population parameters from sample statistics. For example, estimate the average of a population, giving a confidence interval (margin of error).

This module is delivered using blended learning. Learning resources, including quizzes, are available on Brightspace and students engage in active learning exercises during face-to-face and/or online contact time.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module students should be able to:
- Discuss and use the main concepts and approaches of descriptive statistics;
- Calculate, analyse, visualise and present useful statistical measurements from large-scale data sets;
- Use common probability distributions and statistical functions;
- Devise, test and interpret inferential statistical statements about population parameters;
- Prepare spreadsheet models to store, manipulate and analyse quantitative data;
- Interpret the results of data analyses with a view to informing decision making.

Indicative Module Content:

Main topics:
- The role of data analysis in business and decision making
- Data Gathering, Visualisation and Presentation
- Descriptive Statistics
- Basic Probability
- Conditional Probability and Bayes's Theorem
- Probability Distributions and Random Variables
- Discrete Probability Distributions
- Continuous Probability Distributions
- The Normal Distribution
- Sampling
- Confidence Intervals
- Hypothesis Testing

Student Effort Type Hours
Lectures

24

Tutorial

12

Specified Learning Activities

20

Autonomous Student Learning

70

Total

126

Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles
Incompatibles:
ECON10030 - Intro Quantitative Economics, ECON20040 - Statistics for Economists

Equivalents:
Quantitative Analysis for Busi (MIS10010), Data Analysis Decision Makers (SBUS10050)

Assessment Strategy
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Group Project: Team assignment: Descriptive Statistics report Week 6 n/a Graded No

30

Examination: Main Written Exam 2 hour End of Trimester Exam No Graded No

70

Carry forward of passed components
Yes

Resit In Terminal Exam
Autumn Yes - 2 Hour
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Recommended but not compulsory:
Lind, D. A., W. G. Marchal and S. A. Wathen. (2012). Basic Statistics for Business and Economics. McGraw-Hill

Berenson, M., D. Levine and T. Krehbiel. (2012). Basic Business Statistics: Concepts and Applications. Pearson Prentice Hall
Spring

External & School Exams Offering 2 Week(s) - 33 Fri 15:00 - 16:50
Lecture Offering 2 Week(s) - 20, 21, 23, 24, 25, 26, 29, 30, 32, 33 Mon 13:00 - 14:50
Lecture Offering 3 Week(s) - 20, 21, 23, 24, 25, 26, 29, 30, 32, 33 Mon 16:00 - 17:50
Small Group Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 13:00 - 13:50
Small Group Offering 2 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 14:00 - 14:50
Small Group Offering 3 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 13:00 - 13:50
Small Group Offering 4 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 14:00 - 14:50
Small Group Offering 5 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 09:00 - 09:50
Small Group Offering 6 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 10:00 - 10:50
Small Group Offering 7 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 11:00 - 11:50
Small Group Offering 8 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 09:00 - 09:50
Small Group Offering 9 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 10:00 - 10:50
Small Group Offering 10 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 11:00 - 11:50
Small Group Offering 11 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 15:00 - 15:50
Spring