Statistics 111 Module Outline Introductory Statistics STA 111

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University of the Western Cape
Private Bag X17 Bellville 7535 South Africa Telegraph : UNIBELL Telex: 526661
Statistics and Population Studies Department
Science Faculty
Telephone:
Fax:
e-mail:
(27) (21) 959-3036
(27) (21) 959 2909
rlombard@uwc.ac.za
Statistics 111 Module Outline
Introductory Statistics
STA 111
st
1 semester 2012
Table of Contents
PAGE
Part A. General Information
2
1.
Teaching Staff and Contact Times
2
2.
Module Overview
2
Part B. Teaching and learning
3
3.
Teaching and Learning activities
3
4.
Module Schedule
4
5.
Materials
5
6.
Graduate Attributes, Learning outcomes and Assessment
5
7.
Evaluation of the learning and teaching
7
Part C. General Information
8.
2012
Academic Honesty
7
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Part A. General Information
Welcome to the Department of Statistics. This is an Introductory Statistics course. We
hope that you will enjoy this field of study and that you will achieve success in this
1. Module Coordinator and Lecturer:
Name
Miss Ronell Lombard
Room and building
Office 3.30 – New Sciences Building
Phone number
+21 939 3036
Email
rlombard@uwc.ac.za
Consultation hours
Please make an appointment via email.
Class times
Time
Venue
Monday 9h40 to 10h40
SC3
Thursday 9h40 to 10h40
SC3
Friday 10h50 to 11h50
SC6
2. Module Overview
Guide:
1 The key focus or purpose
of this module
2 How this module relates to
previously studied modules
3 How this module prepares
students for subsequent
modules
4 How this modules relates
to the degree/discipline/
programme/s
2012
Introduces students to the study of Statistics to collect,
organise, analyse and interpret data. With focus on the
elementary statistical procedures for descriptive and
inferential statistics.
This module is an entry level course which uses basic
mathematical methods/procedures learnt at secondary
school. Some concepts may be new while others may be
familiar.
This introductory Statistics module will equip students to go
on to second year Statistics.
This module is a core module if students want to be in the
Statistics mainstream programme. The module provides the
students with a sound basis to further their Statistical
studies.
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Main Outcomes
Main Content
Pre-requisites
Co-requisites
Prohibited
Combinations
Methods of Students
Assessment
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 analyse data
Descriptive statistics
Simple linear regression analysis
Probability
Sampling distributions
Inferential Statistics
Index numbers
Time series
Matric/NSC Mathematics as required by the programme or
equivalent.
None
STA125/STA141/STA142/BUS131/BUS132/STA151
Tests, tutorials, computer analyses and a final examination
Part B. Teaching and Learning
3. 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, four tutorials (hand written and computer
assignments), extra reading for self-study and four tests.
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4. Module Schedule
Students are given four compulsory take-home tutorials for the semester and are
expected to submit the tutorial a week later. These tutorials are handed out on a Monday
during class and are to be handed back the following Monday by 4PM. Late submissions
will not be accepted. Tutorial solutions will be available on the notice board the
Wednesday after tutorials are submitted.
Week
1 30 Jan – 3 Feb
2 6 Feb – 10 Feb
3 13 Feb – 17 Feb
4 20 Feb – 24 Feb
5 27 Feb – 2 Mar
Topic: In-class Teaching and
learning activity
Ch 1 Introduction
Ch 2 Graphical representation
of data
Ch 3 Measures of location
and dispersion
Ch 4 Probability
Ch 4 Probability
6 5 Mar – 9 Mar
Ch 5
7 12 Mar – 16 Mar
Ch 6
Vacation
8 26 Mar – 30 Mar
Ch 7
Distribution of random
variables
Sampling distributions
and estimation
Interval estimation
9 2 Apr – 5 Apr
Ch 8
Hypothesis testing
10 10 Apr – 13 Apr
Ch 8
Hypothesis testing
11 16 Apr – 20 Apr
Ch 9
14 7 May – 11 May
Correlation and
Regression
Ch 10 Analysis of variance and
experimental design
Ch 10 Analysis of variance and
experimental design
Ch 11 Chi-square test
15 14 May – 18 May
Ch 11 Chi-square test
12 23 Apr – 26 Apr
13 30 Apr – 4 May
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Tutorial dates
Test dates
Tut 1 - Ch1&2
Hand out
Tut 1
Hand in
Test 1 - Ch1&2
Fri, 17 Feb
Tut 2 – Ch3&4
Hand out
Tut 2
Hand in
Test 2 – Ch3&4
Fri, 9 Mar
Tut 3 – Ch5&7
Hand out
Tut 3
Hand in
-
Test 3 – Ch5&7
Fri, 13 Apr
Tut 4 – Ch8,9,10
Hand out
Tut 4
Hand in
Test 4 – Ch8,9,10
Fri, 11 May
5. Materials
Prescribed text: Introductory to Statistics. A course reader which can be purchased at the
front office of the Statistics department.
Recommended Text Books:
Most basic or introductory statistics books can be used for extra reading. Here are four
books that are available in the main library with their respective location and shelf number.
1. Basic and clinical biostatistics by B. Dawson-Saunders & R.G. Trapp
(Level 14, 519.502461DAW)
2. Statistics for management and economics by G. Keller & B. Warrack
(Level 14, 519.5KEL)
3. Mathematical statistics with application by D.D. Wackerly, W. Mendenhall &
R.L. Scheaffer (Level 14, 519.5WAC)
4. Introduction to business statistics by R.M. Weiers
(Level 14, 519.5WEI)
6. Graduate Attributes, Learning Outcomes and Assessment
Include a Table showing the alignment of learning outcomes, graduate attributes and
assessment tasks
UWC Graduate
Attributes
Learning outcomes
Inquiry--focused
Understanding and using
descriptive and inferential
statistics.
Solving quantitative
statistical problems.
Critically and
relevantly literate
Ethically,
environmentally and
socially aware and
active
Autonomous and
collaborative
Skilled
communicators
Interpersonal
flexibility and
confidence to engage
across difference
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Reading with
comprehension.
Developing a sound
statistical foundation.
Use the Internet, MS
Word and MS Excel
Discuss ethical
requirements when using
data.
Begin to develop life-long
learning capabilities and
to see one’s discipline in a
wider context.
Present a clear, wellstructured statistical
calculations and analyses
Work productively in cooperative learning groups
Teaching/Learning
activities
Assessment tasks and
criteria
Class discussion;
In-class exercises;
Pre-reading and
preparation.
Tutorial exercises
Self-study exercises
Test and exam
questions
Tutorials
questions
Test and exam
questions
Tutorials
questions
Multiple choice
questions Tutorial
exercises
Test and exam
questions
Tutorials
questions
Computer skills.
Reading and writing
tasks.
Class discussion.
Tutorials
questions
Reading and writing
tasks
Develop statistical skills.
Group discussions
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Tutorials
questions
Types and due dates of assessment for STA111
Class tests and tutorials are compulsory. The three best results out of the four tests will be
used in the calculation of the semester mark. The tests contribute 60% to your semester
mark. Tests are written under examination conditions. Under no condition will any reevaluation of the tests/sick tests take place. Please check deadlines for mark/test queries
as no queries will be accepted five days after the marked test is made available to you. All
four tutorial marks will be used to calculate your semester mark.
The semester mark:
60% of the average of the three best test marks
40% of the average of the four tutorial marks
Your final mark:
50% of the semester mark
50% of the exam mark
NB.:
Please read rule A.5 in the General Calendar with regard to Continuous
Assessment, Pass Requirements, and Re-evaluation.
Description and explanation of assessment activities

Written tutorial assignments – develop understanding and calculation skills of
basic statistics.

Multiple choice tests – develop skills to help prepare for the final examination.
Clearly mark your tutorial assignments with your name and student number. Please do
not use red when completing your take home written tutorials.
Feedback on assessment
Assessment tasks will be handed back to students within a period of two weeks. Students
must attend class to submit tutorials and to collect marked tutorials. The solution of each
tutorial will be made available to you after submission.
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.
Refer to the General UWC Calendar about rules regarding special/sick exams.
http://www.uwc.ac.za/usrfiles/users/1032080519/2012_General_Calendar_%28Final%29.
pdf p39.
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7. Evaluation of the learning and teaching on the module
This module will be evaluated by students who will complete an anonymous pen-and
paper questionnaire at the end of the semester. Student comments will also be collated
and summarized to improve the presentation of the module in future.
Part C. General Information
8. Academic honesty
Please adhere to UWC rules regarding academic honesty as described the General
Calendar
http://www.uwc.ac.za/usrfiles/users/1032080519/2012_General_Calendar_%28Final%29.
pdf p44, 75-77
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