Assessment 3 of the attached pdf
BUS105 BUSINESS STATISTICS T2 2021 KING’S OWN INSTITUTE* Success in Higher Education Approved by KOI Academic Board for T2 2021 BUS105 BUSINESS STATISTICS T221 14/07/2021 12:04 PAGE 1 OF 13 *AUSTRALIAN INSTITUTE OF BUSINESS AND MANAGEMENT PTY LTD © ABN: 72 132 629 979 CRICOS 03171A BUS105 BUSINESS STATISTICS T221 All information in the Subject Outline is correct at the time of approval. KOI reserves the right to make changes to the Subject Outline if they become necessary. Any changes require the approval of the KOI Academic Board and will be formally advised to those students who may be affected by email and via Moodle. Information contained within this Subject Outline applies to students enrolled in the trimester as indicated 1. General Information 1.1 Administrative Details Associated HE Award(s) Duration Level Subject Coordinator B Bus (Accg); B Bus (Mgt & Finance) Dip Accg; Dip Mgt 1 trimester Level 1 Matt MacCallum
[email protected] P: +61 (2) 9283 3583 L: Level 1, 545 Kent St. Consultation: via Moodle or by appointment. 1.2 Core / Elective This is a core subject for the above courses. 1.3 Subject Weighting Indicated below is the weighting of this subject and the total course points. Subject Credit Points Total Course Credit Points 4 Dip Accg 32; Dip Mgt 32; BBus (Accg) 96; BBus (Mgt & Finance) 96 1.4 Student Workload Indicated below is the expected student workload per week for this subject No. timetabled hours/week* No. personal study hours/week** Total workload hours/week*** 4 hours/week (2 hour Lecture + 2 hour Tutorial) 6 hours/week 10 hours/week * Total time spent per week at lectures and tutorials ** Total time students are expected to spend per week in studying, completing assignments, etc. *** Combination of timetable hours and personal study. 1.5 Mode of Delivery Online (face-to-face teaching temporarily suspended due to COVID-19) 1.6 Pre-requisites Nil Numerical literacy, while not a pre-requisite, is an advantage for this subject. As an example when giving a lecture numerical information may appear on a screen and it will be an advantage if you are familiar with this type of information. The skills that are useful are an understanding of formulas and prior experience with using a calculator. Those who did poorly in mathematics at school may need to spend an extra hour per week on the subject. It is advisable to work closely with your tutor to overcome any fear of mathematics or of how to use a calculator. 1.7 General study and resource requirements: o Students are expected to attend classes with the required textbook and to read specific chapters prior to the tutorials. Students should read this material before coming to class to improve their ability to participate in the weekly activities. BUS105 Approved by KOI Academic Board for T2 2021 BUS105 BUSINESS STATISTICS T221 14/07/2021 12:04 PAGE 2 OF 13 *AUSTRALIAN INSTITUTE OF BUSINESS AND MANAGEMENT PTY LTD © ABN: 72 132 629 979 CRICOS 03171A o Students will require access to the internet and their KOI email and should have basic skills in word processing software such as MS Word, spreadsheet software such as MS Excel and visual presentation software such as MS PowerPoint. o Computers and WIFI facilities are extensively available for student use throughout KOI. Students are encouraged to make use of the campus Library for reference materials. Resource requirements specific to this subject: Students should have a non-programmable scientific calculator. Applications in smart phones will not be sufficient to perform the required calculations. Smartphones and smartwatches will not be allowed in the final exam. As this subject requires the use of statistical software packages to analyse numerical data, students should also have access to and at least a basic level of skill in these areas. 2 Academic Details 2.1 Overview of the Subject This subject is embedded in a business context and uses: o descriptive methods to graphically and numerically summarise data sets; o inferential techniques on sample data to determine characteristics of the parent populations; o regression techniques to predict future outcomes. The subject provides an introduction to basic statistical concepts and techniques and a working knowledge of a number of inferential procedures to solve statistical problems in a business context. The subject covers the use of techniques such as hypothesis tests and to develop evidence based predictions that can be used when making business decisions. 2.2 Graduate Attributes for Undergraduate Courses Graduates of the Bachelor of Business (Accounting), and the Bachelor of Business (Management and Finance) courses from King’s Own Institute will achieve the graduate attributes expected from successful completion of a Bachelor’s degree under the Australian Qualifications Framework (2nd edition, January 2013). Graduates at this level will be able to apply an advanced body of knowledge from their major area of study in a range of contexts for professional practice or scholarship and as a pathway for further learning. King’s Own Institute’s generic graduate attributes for a bachelor’s level degree are summarised below: KOI Bachelor Degree Graduate Attributes Detailed Description Knowledge Current, comprehensive and coherent knowledge Critical Thinking Critical thinking and creative skills to analyse and synthesise information and evaluate new problems Communication Communication skills for effective reading, writing, listening and presenting in varied modes and contexts and for transferring knowledge and skills to a variety of audiences Information Literacy Information and technological skills for accessing, evaluating, managing and using information professionally Problem Solving Skills Skills to apply logical and creative thinking to solve problems and evaluate sources Ethical and Cultural Sensitivity Appreciation of ethical principles, cultural sensitivity and social responsibility, both personally and professionally Teamwork Leadership and teamwork skills to collaborate, inspire colleagues and manage responsibly with positive results Professional Skills Professional skills to exercise judgement in planning, problem solving and decision making BUS105 Approved by KOI Academic Board for T2 2021 BUS105 BUSINESS STATISTICS T221 14/07/2021 12:04 PAGE 3 OF 13 *AUSTRALIAN INSTITUTE OF BUSINESS AND MANAGEMENT PTY LTD © ABN: 72 132 629 979 CRICOS 03171A Across the course, these skills are developed progressively at three levels: o Level 1 Foundation – Students learn the basic skills, theories and techniques of the subject and apply them in basic, stand-alone contexts. o Level 2 Intermediate – Students further develop skills, theories and techniques of the subject and apply them in more complex contexts, beginning to integrate the application with other subjects. o Level 3 Advanced – Students have a demonstrated ability to plan, research and apply the skills, theories and techniques of the subject in complex situations, integrating the subject content with a range of other subject disciplines within the context of the course. 2.3 Subject Learning Outcomes This is a Level 1 subject. Listed below, are key knowledge and skills students are expected to attain by successfully completing this subject: Subject Learning Outcomes Contribution to Graduate Attributes a) Identify practical business situations to which statistical techniques are applicable b) Present, summarise and manipulate sample data, make basic statistical inferences and interpret the results in a business context c) Use one or more current statistical software packages for basic data analysis purposes d) Apply skills in identifying problems and solution strategies. 2.4 Subject Content and Structure Below are details of the subject content and how it is structured, including specific topics covered in lectures and tutorials. Reading refers to the text unless otherwise indicated. Weekly Planner: Week (beginning) Topic covered in each week’s lecture Reading(s) Expected work as listed in Moodle 1 05 Jul Introduction and simple questions from topics 2, 3, 4, 5. Textbook Chs. 1.3,3.1,7.4,8.3 Week 1 & 2 handout Tutorial exercises 2 12 Jul Graphical summary of data Types of data Displaying data Data collection Sampling Textbook Chs.1, 2 Week 1 & 2 handout Weekly Quiz 3 19 Jul Discrete probability distributions Expectation and variance of a general random variable, Binomial and poisson probabilities to be determined by cumulative tables, formula and software Chs. 3, 4 Week 3 handout Weekly Quiz 4 26 Jul Numerical summary of data including z scores Basic properties of normally distributed variables Ch. 5 Week 4 handout Weekly Quiz BUS105 Approved by KOI Academic Board for T2 2021 BUS105 BUSINESS STATISTICS T221 14/07/2021 12:04 PAGE 4 OF 13 *AUSTRALIAN INSTITUTE OF BUSINESS AND MANAGEMENT PTY LTD © ABN: 72 132 629 979 CRICOS 03171A 5 02 Aug Continuous probability distributions; The Normal distribution. The Sampling distribution of the mean. Chs. 6, 7 Weekly Quiz 6 09 Aug Mid trimester test held in the week 6 lecture Tutorial handout Mid trimester exams 7 16 Aug Inference Estimate the mean of a population by: Confidence interval using the z distribution Estimate the proportion of a population. Ch. 8 Week 7 handout Weekly Quiz 8 23 Aug Bivariate Data Scatterplots- linear and non-linear relationships Measures of association Coefficient of determination Equation for line or parabola of best fit (calculator and software output) Residual analysis Interpreting software output to produce Confidence intervals Hypothesis tests for significance of the relationship Ch. 13 Week 8 handout Tutorial exercises 9 30 Aug Inference Chi squared goodness