ACADEMIC PROCEDURES
This document forms part of the Academic Procedures series
Developed by the Directorate of Academic Planning
COURSE SPECIFICATION
Course code
Course title
Department
Credit unit
Level (UG)
Course leader
Official phone number and email
address
Office Hours
Other staff (if applicable)
Official phone number and email
address
Office Hours
Lecture Time
Lecture Venue
For academic year
Contact hours for the semester
Assessment
STA 231
Statistical Inference II
Mathematics, Computer Science,Statistics, Info.
2
Level 2
UWADI, Uchenna U.
08063895095
uroot3@yahoo.com
Mon: 10 - 12 am, Tue: 15 - 16 pm
Asogwa Oluchukwu C.
08036785840 qackasoo@yahoo.com
2014/15
Lectures
Method
Mid Semester Exams
Coursework
Examination
[22 hours ]
Proportion of marks
[15]%
[15]%
[70]%
This course is to be taken as part of the
B.Sc. Statistics
following programme(s):
COURSE AIMS- ALIGNMENT WITH FUNAI VISION AND MISSION
This course is aimed at introducing the different methods of statistical estimation to the
students.
Directorate of Academic Planning, FUNAI
INTENDED LEARNING OUTCOMES
Having completed this course the student is expected to:
1. Estimate the parameters of some distributions based on the different methods of
estimation treated.
2. Discuss the properties of estimators
3. Determine point and interval estimators for distributional parameters.
LEARNING AND TEACHING METHODS
The course aims will be achieved by weekly face-to-face lecture on designed topics.
Theoretical materials (lecture notes) will be provided during lecture, seminars, and group
exercises. The delivery strategies will also be supported through seminar and tutorial
sessions.
INDICATIVE CONTENT
Lecture/seminar programme
FUNAI
Wk
Lecture
Session
1
Topic/Reading for private study
2
Methods of point Estimation
3
Methods of point Estimation
contd
4
Methods of point Estimation
contd.
5
Properties of Estimation
6
Properties of Estimation contd.
7
Mid –Semester Examination
8
Interval Estimation for means
Point Estimation
Tasks/Think points for
private study
For an overview of this
topic read the relevant
chapters in the core and
supplementary textbooks.
For an overview of this
topic read the relevant
chapters in the core and
supplementary textbooks.
For an overview of this
topic read the relevant
chapters in the core and
supplementary textbooks.
For an overview of this
topic read the relevant
chapters in the core and
supplementary textbooks.
For an overview of this
topic read the relevant
chapters in the core and
supplementary textbooks.
For an overview of this
topic read the relevant
chapters in the core and
supplementary textbooks.
Mid –Semester
Examination
For an overview of this
topic read the relevant
chapters in the core and
Directorate of Academic Planning, Federal University Ndufu-Alike, Ikwo (FUNAI)
2
Lecturer
UWADI, Uchenna U
UWADI, Uchenna U
UWADI, Uchenna U.
UWADI, Uchenna U.
UWADI, Uchenna U.
UWADI, Uchenna U.
UWADI, Uchenna U
9
Interval Estimation for
proportions.
10
Interval Estimation for sums &
diff of means.
11
Interval Estimation for sums
and diff of Proportions
12
13
14
Revision Week
Exams
Exams
supplementary textbooks.
For an overview of this
topic read the relevant
chapters in the core and
supplementary textbooks.
For an overview of this
topic read the relevant
chapters in the core and
supplementary textbooks.
For an overview of these
topics read the relevant
chapters in the core and
supplementary textbooks.
Revision Week
UWADI, Uchenna U
UWADI, Uchenna U.
UWADI, Uchenna U
UWADI, Uchenna U.
INDICATIVE KEY LEARNING RESOURCES
Core reading list
This course is in part based around notions and/or material that can be found in the core
text(s) listed below. It is therefore likely that you will use, or refer to, in your lecture/seminar
sessions the notions and/or material in the books listed here. You will likely be directed to
study aspects of these texts in your out-of-classroom time, that is, in your private study.
[1] Montogomery,D .C,Bunger G .C.(2003) Applied Statistics And Probability for Engineers,
3rd Edition, New York :Wiley And Sons
[2] Stephens,L.J.(1998) Schums Outline Theory And Problems of Beginning Statistics, New
York :Mac- Graw-Hill
Supplementary reading
[1] Bhat, B.R, Shah, D. K. (1997) Statistical Inference Gaborone Bostwana
[2] Hogg, R .V, Craig, A .T. (1978) Introduction To Mathematical Statistics, Fourth Edition,
New York :Macmillan
[3] Mood, A .M , Graybill, F.A, Boes D.C (1974) Theory of Mathematical Statistics, 3rd
Edition,New York :Mac-Graw Hill
[4] Rice,A. R. (2007) Mathematical Statistics and Data Analysis, 3rd Edition, Belmont C A:
Duxbury
CONTINIOUS ASSESSMENT
The Intended Learning Outcomes are assessed through:
Assessment
Surprise Quiz
Mid semester Exams
Weight
0%
15%
Directorate of Academic Planning, Federal University Ndufu-Alike, Ikwo (FUNAI)
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Coursework
Semester Exams
15%
70%
Deliverables - important dates
Ensure that you make a careful note of when the assessment tasks are due in for this course. Try not to
leave working on these tasks until the last minute – this is stressful for you and tends to lead to poor
quality work. Remember that you have several assessments (for different courses) due the same week
and you will need to plan for this.
Assessment
Mid semester exam-
Due date
Lecture session 7
Feedback & Result
14 days after the assessment
Lecture session 10
14 days after the assessment
Session 13 and 14
14 days after the assessment
To be held at the regular
class time and place
Coursework
Semester Exam
Feedback on your work
The university is committed to providing you with written feedback for all assessed coursework within
14 days from the submission date. You will get feedback on your performance on a feedback form
which will be returned to you. If you do not receive feedback within this time, then you should first
contact the course leader. If it proves necessary, you should then contact the Head of Department.
Submitted coursework, including your final year project, will not be returned to you. This is true for
all coursework, in all courses and at all levels, and does not apply to only this course. We must keep
the original copy of all coursework to provide the external examiners with a complete record of your
work.
Late coursework
It is the University policy to accept and grade all late items of coursework (up to the published latest
date for submission). There is no such thing as 'an extension'. You cannot negotiate new deadlines,
and you do not need to get agreement about handing in your work late from the course leader or any
other member of staff. Late coursework submissions are, however, subject to penalties (capping) that
determine the maximum grade that you can achieve depending upon how late the work is. The current
penalty scale can be found below:
The following caps to be uniformly applied, in the absence of relevant mitigating circumstances
accepted by the BoE:
Up to 1 working day late
Up to 2 working days late
Up to 5 working days late
Up to 10 working days late
Up to 15 working days late
More than 15 working days late
Mark capped at 70%
Mark capped at 60%;
Mark capped at 50%;
Mark capped at 40%;
Mark capped at 30%;
Mark capped at 0%.
A working day is here defined as Monday to Friday at any time of year, with the exception of Nigeria
national holidays.
Students with mitigating circumstances can apply to have penalties removed via submission of the
appropriate form and evidence. How to do this is explained in the Student’s Handbook.
Directorate of Academic Planning, Federal University Ndufu-Alike, Ikwo (FUNAI)
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Planning your time
i.
Students are expected to attend all classes including seminars and laboratory
sessions for each course. It is mandatory for students to have a minimum attendance of
75% in this course to be eligible to take the final semester examination.
ii.
Learning Skills Development Week is a break from formal subject-specific teaching
activities (lectures and seminars) and applies to all undergraduate courses in the
University. During that week the university offers a number of very useful free sessions
on topics such as essay and dissertation writing, exam technique and job applications.
You are strongly encouraged to attend sessions relevant to your studies.
iii.
Note: Instructors are not required to provide mid semester examination make-up.
Directorate of Academic Planning, Federal University Ndufu-Alike, Ikwo (FUNAI)
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