QUANTITATIVE DATA ANALYSIS
BUS5QDA
Not currently offered
Credit points: 15
Subject outline
In this subject, you will develop your quantitative data analysis skills and learn techniques which are commonly used by researchers to answer important questions and by senior managers in making informed business decisions. Topics in the first component of this subject include; descriptive statistics, probability distributions, parametric estimation methods, parametric and non-parametric hypothesis tests, and both simple and multiple regression analysis. In addition to the linear regression modelling, the subject will cover panel data analysis. This knowledge will then be extended with advanced techniques including limited dependent variable models such as logit, probit models, ordered probit and tobit. Authentic assessments in this subject will promote critical thinking, problem solving and inquiry whilst strengthening your analytical, report writing and communication skills.
School: La Trobe Business School (Pre 2022)
Credit points: 15
Subject Co-ordinator: Md Al Mamun
Available to Study Abroad/Exchange Students: No
Subject year level: Year Level 5 - Masters
Available as Elective: No
Learning Activities: Lectures, labs sessions, online videos, readings, group discussions, and assessment tasks, interactive lab session, research articles.
Capstone subject: No
Subject particulars
Subject rules
Prerequisites: Students must be admitted in one of the following courses: LHCOM, LDPH or Students must have completed BUS1BAN
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Quota Management Strategy: N/A
Quota-conditions or rules: N/A
Special conditions: N/A
Minimum credit point requirement: N/A
Assumed knowledge: N/A
Career Ready
Career-focused: No
Work-based learning: No
Self sourced or Uni sourced: N/A
Entire subject or partial subject: N/A
Total hours/days required: N/A
Location of WBL activity (region): N/A
WBL addtional requirements: N/A