1. No category

University of the Western Cape
Private Bag X17 Bellville 7535 South Africa Telegraph : UNIBELL Telex: 526661
Statistics and Population Studies Department
Faculty of Natural Sciences
Telephone:
Fax:
e-mail:
(27) (21) 959-9565
(27) (21) 959-2909
[email protected]
Introductory Statistics Module Outline
Business Statistics
BUS 132
nd
2 Semester 2014
Page
Table of Contents
Part A. General Information
2
1.
Teaching Staff and Contact Details
2
2.
Timetable and Venues
3
3.
Module Overview
3
4.
Module Descriptor
4
Part B. Teaching and learning
5
5.
Teaching and Learning activities
5
6.
Module Schedule
5
7.
Notice Board
5
8.
Materials
6
9.
Hot seat
6
10.
Graduate Attributes, Learning outcomes and Assessment Criteria
6
10.1.
10.2
11.
12.
BUS132
Types of assessment
6
Description and explanation of assessment activities
7
Evaluation of the learning and teaching
8
Part C. General Information
8
Academic Honesty
8
-1-
2014
Part A. General Information
Welcome to the Department of Statistics and Population Studies. BUS 132 is an introductory
statistics course and we hope that you will enjoy this field of study. You can make use of the guide to
success to obtain excellent results! It is your responsibility to ensure that you are registered properly
for this course.
1. Teaching Staff and Contact Details
Coordinator:
Name
Room and building
Phone number
Email
Consultation hours
Mrs. Rechelle Jacobs
Office 3.16 – New Sciences Building
+21 959 9565
[email protected]
Please see office door for availability.
Lecturers:
Group 1
Name
Room and building
Phone number
Email
Consultation hours
Mr Innocent Karangwa
Office 3.19 – New Sciences Building
+21 959 3039
[email protected]
Please see office door for availability.
Group 2
Name
Room and building
Phone number
Email
Consultation hours
Mr Brian Meki
Office 3.19 – New Sciences Building
+21 959 3199
[email protected]
Please see office door for availability.
Name
Room and building
Phone number
Email
Consultation hours
Mrs Chinelo Ogujiuba
Office 3.17 – New Sciences Building
+21 959 3370
[email protected]
Please see office door for availability.
Group 4&5
Name
Room and building
Phone number
Email
Consultation hours
Mr Tongai Foto
Office 3.17 – New Sciences Building
+21 959 3370
[email protected]
Please see office door for availability.
Group 3
Group 6
Name
Room and building
Phone number
Email
Consultation hours
BUS132
Mrs Rechelle Jacobs
Office 3.16 – New Sciences Building
+21 959 9565
[email protected]
Please see office door for availability.
-2-
2014
2. Timetable and Venues
Period
1
Monday
G1 (B1)
(8:30 – 9:30)
G6
(S/Hall)
Tuesday
2
(9:40 – 10:40)
3
(10:50 – 11:50)
4
Thursday
Friday
G2 (GH1)
G2 (S1)
G3 (C5)
G2 (GH1)
Tut
G3 (GH3)
H
G3 (C5)
G2 (B2)
G1 (B1)
(12:00 – 13:00)
G6 (L20)
L
U
N
C
G4 + G5
(C5)
G4 + G5
(DL3)
G1 (A2) Tut
G6 (SC3)
G3 (C5)
Tut
G4 + G5
(SC5)
G4 + G5
(DL1)
Tut
(13:00 - 14:00)
5
(14:00 – 15:00)
Tuesdays
(14h45 – 15h45)
6
Wednesday
(15:10 – 16:10)
Tuesdays
(15h55 – 16h55
G1 (B1)
G6 (L20) Tut
3. Module Overview
The key focus or
purpose of this
module
How this module
relates to previously
studied modules
How this module
prepares students
for subsequent
modules
How this module
relates to the
degree/discipline/
programme/s
BUS132
Introduce students to Statistics: to recognise the importance of
Statistics in both private and public sectors, data summaries
(e.g. mean and standard deviation), perform simple statistical
analysis and use a computer to analyse data.
This module is an entry level course which uses basic
mathematical tools learnt at secondary school. Some concepts
may be new while others are known.
This full time module is a service level course for the Faculty of
Economics and Management Sciences (EMS). It provides a
sound statistical foundation to the student who wishes to
continue with second year Statistics (provided they
successfully complete first year Mathematics) as well as the
student who continues with business related modules
(Economics, Accounting, Finance, etc.).
This module will enable the student to use the basic statistical
tools learnt and apply them to their business environment.
-3-
2014
4. Current module descriptor
Home Department
Statistics
Module Topic
Introductory Statistics
Generic module name
Numeric Code
Alpha-numeric code
Credit Value
Business Statistics 132
Duration and semester
Offered
Semester and 2nd Semester
Programmes in which
the module is offered.
All BCom programmes except BAdmin
Level
5
Main Outcomes
Pre-requisites
To be able to:
Recognize the importance of statistics in both
private and public sectors
Summarize data into summary measures (e.g.
mean and standard deviation)
Do simple statistical analysis
Use a computer to analyze data
Descriptive statistics
Simple linear regression analysis
Probability
Sampling distributions
Inferential Statistics
Index numbers
Time Series
Anova
Chi-square
QSC131/132/MAM126
Co-requisites
None
Prohibited
Combinations
STA 111/125/141/142/151/BUS 131
Main Content
A. Breakdown of
Learning Time
Contact with lecturer /
tutor:
Assignments & tasks:
Assessment
Practicals:
Selfstudy
Other: Please specify
Total Learning Time
Assessment methods
BUS132
BUS132
15
Current
Hours
56
20
10
64
150
B. Time-table Requirement per week
Lectures p.w. 4 x 1 hours
Practicals p.w.
Tutorials p.w.
Assignments and tests: 60%
Final examination: 40%
-4-
2014
Part B. Teaching and Learning
5. Teaching and learning activities
The mode of teaching is face-to-face in weekly classes for one semester. Activities include a
lecture with a discussion forum, weekly tutorials, extra reading/research for self-study and four
written tests. Attendance for lectures AND tutorials are compulsory and contributes to your
semester mark. A take-home, Excel based assignment will also be given.
6. Module Schedule
Week
Date
Chapter
1
14 July - 18 July
1
Introduction
Tut 1: Ch 1
2
21 July - 25 July
2
Graphical representation of data
Tut 2: Ch 2
3
28 July - 1 Aug
3
Measures of location and
dispersion
Tut 3: Ch 1 & 2
4 Aug - 8 Aug
3
Measures of location and
dispersion
Tut 4: Ch 3
4
9 Aug - Public Holiday
Topic
Tutorials
5
11 Aug - 15 Aug
4
Probability
Tut 5: Ch 4
6
18 Aug - 22 Aug
4
Probability
Tut 6: Ch 3 & 4
7
25 Aug - 29 Aug
5
Distribution of random variables
Vacation
1 Sept - 5 Sept
8
8 Sept - 12 Sept
10
7
Sampling distributions and
estimation
Interval estimation
15 Sept - 19 Sept
7
Interval estimation
Tut 9: Ch 5, 6, 7
22 Sept - 26 Sept
8
Hypothesis testing
Tut 10: Ch 8
9
Correlation and Regression
Tut 11: Ch 9
10
Analysis of Variance &
experimental design
Chi-square test
Index Numbers
Time series analysis
29 Sept - 3 Oct
12
6 Oct - 10 Oct
13
13 Oct - 17 Oct
11
12
13
14
20 Oct - 24 Oct
Revision
BUS132
Test 2: Ch 3 & 4
Tues, 26 Aug
Tut 8: Ch 6 & 7
24 Sept - Public Holiday
11
Test 1: Ch 1 & 2
Wed, 13 Aug
Assignment: Excel worksheet
6
9
Tut 7: Ch 5
Tests
Test 3: Ch 5, 6, 7
Fri, 26 Sept
Tut 12: Ch 8, 9, 10
Tut 13: Ch 11, 12, 13
Test 4: Ch 8,9,10
Fri, 17 Oct
Marks Finalisation
-5-
2014
7. Notice Board
Consult the notice board frequently for any other details pertaining to the course. These notice
boards are situated on the third level of the New Sciences Building. (Opposite the stairway on the 3rd
level at the rear entrance where the Computer Science laboratories are in the New Sciences
building.)
8. Materials
Recommended Calculators:
Casio FX 82ES
Sharp EL 531VH
Prescribed Text:
Introductory to Statistics. A course reader which can be purchased at the front office of the
Statistics department (3rd Floor).
Recommended Text Books:
Most basic or introductory statistics books can be used for extra reading. Below are a few examples
thereof.
1. Statistics for management and economics by G. Keller & B. Warrack
2. Introduction to business statistics by R.M. Weiers
3. Applied Business Statistics by Trevor Wegner
9. The Hot seat
The department has made available tutors to assist you. These tutors can be found at a desk next
to the notice board, level three, of the New Sciences building. Please consult with them whenever
you have a problem. Hot seat tutors will also be available in the ADM lab to provide assistance
with Excel during certain periods only. Please consult the notice board for the hot seat and ADM
lab schedule.
10.
Graduate Attributes, Learning Outcomes and Assessment Criteria
10.1
Types of assessment
Attendance, class tests and tutorials are compulsory. The best three results of the four tests will
be used in the calculation of the semester mark. The tests contribute towards 60% of your semester
mark. Tests are written under examination conditions. Under no circumstances will any re-evaluation
of the tests (sick tests) take place. Please check deadlines for mark/test queries, as no queries will
be accepted after the due date. All four tutorial marks will be used to calculate your semester mark.
An Excel based, take-home assignment will also be given and constitutes 5% of the semester mark.
Attendance for lectures AND tutorials will count towards 5% of your semester mark. A daily
attendance register will be taken.
Semester mark:
BUS132
60% of the average of the best three test marks
30% of the average of four tutorial marks
5% take-home written assignment
5% attendance for lectures and tutorials
-6-
2014
Final mark:
NB:
60% of the semester mark
40% of the exam mark
Please read rule A.5 in the General Calendar with regard to Continuous Assessment, Pass
Requirements and Re-evaluation.
UWC Graduate
Attributes
Learning outcomes
Teaching/Learning activities
Assessment tasks and criteria
Understand and use descriptive and
inferential statistics.
Inquiry focused
(Researching)
Class discussion
In-class exercises
Pre-reading and preparation
Solve quantitative statistical problems. Self-study exercises
Tutorial exercises
Tests and exam
questions
Tutorial questions
Tests and exam
questions
Tutorial questions
Reading with understanding;
Critically and
relevantly literate
(Solving problems)
Develop a sound statistical foundation.
Apply statistical tools to business
scenarios.
Multiple choice questions
Tutorial exercises
Reading and writing tasks
Computer skills
Use the Internet, MS Word and MS
Excel.
Tak e-home exercise
Ethically,
environmentally
and socially aware
and active
Discuss ethical requirements when
using data
Autonomous and
collaborative
Begin to develop life-long learning
capabilities and to see one’s discipline Reading and writing tasks
in a wider context.
Skilled
communicators
Present clear, well-structured
statistical calculations, analyses and
interpretations
Develop statistical skills
Interpersonal
flexibility and
confidence to
engage across
difference
Work productively in co-operative
learning groups
Group discussions
10.2
Class discussion
Take-home exercise
Take-home exercise
Tests and exam
questions
Tutorial questions
Take-home exercise
Description and explanation of assessment activities
Written tutorials
•
•
•
Develop understanding and calculation skills of basic statistics.
Interpret the results of basic statistical calculations.
Preparation for written tests and the final exam.
Written tests
•
Develop skills to help prepare for the final examination.
Take-home written Assignment
•
•
•
•
BUS132
Develop a basic understanding of MS-Excel.
Use Excel to do basic statistical calculations and graphical representations.
Analyse and interpret the outcomes of the statistical procedures.
Report on those findings.
-7-
2014
Feedback on assessment
Feedback for both written tutorials and written tests will be available to the student during the week
following the week in which the tutorial or test is written. For example: If a tutorial is written during
week 3 of the second semester, feedback will be available during week 4. The same rule applies
for the written tests.
Penalties for late assessments
Absolutely NO late submissions will be accepted for grading.
Special Consideration and additional assessments to be made explicit to students
There are NO sick tests for this course. Please ensure that you are aware of the four test dates
but only the best three results will be used to calculate an average test mark.
Consult the General Calendar, SECTION B: ASSESSMENT POLICY AND PROCEDURES and
A.5.2 ASSESSMENT: FIRST DEGREE STUDIES.
11.
Evaluation of the learning and teaching on the module
This module will be evaluated by students who will complete an anonymous questionnaire at the
end of the semester. Student comments will also be collated and summarized to assist with the
improvement of the presentation of the module in future.
12.
Website
Please consult the department website regularly for any additional notes and/or exercises that the
lecturers may upload for you to download and work through in your own time. The website is:
http://www.uwcstats.x10.mx/stats1/
Part C. General Information
13.
Academic honesty
Please take the time to read Section 3. STUDENT DISCIPLINARY RULES in the General Calendar.
It deals with matters of plagiarism and academic dishonesty.
BUS132
-8-
2014