MQA 02-ST00202
1.
2.
3.
4.
Table 3: Summary of information on each course ST00202
Name of Course:
Basic Statistic
Course Code:
ST00202
Name(s) of academic staff: Norlita Ismail
Rationale for the inclusion of the course/module in the programme
Enable students to have enough basic knowledge in statistics to continue to other advance courses.
Individual
a.
Group
%
P2
P3
P4
P5
P6
P7
P8
Leadership Skills
P1
Managerial and Entrepreneurial
Skills
Sosial and team Skills and
Responsibilities
Assessments
Communication Skills
Teaching-learning and assessment strategy
Problem solving and scientifics skills
in mathematics with economics
11.
Practical Skills / Practical /
psychomotor in mathematics with
economics
Transferable Skills:
Knowlegde of Discipline in
mathematics with economics
10.
Information management and
Longlife learning Skills
7.
8.
9.
Semester and Year offered: 1st and 2nd semester, 1st Year
Total Student
Face to Face
Total Guided and Independent Learning
Learning Time
(SLT)
L = Lecture
L
T
P
O
Refer To Appendix A ST00202
T = Tutorial
P = Practical
O= Others
Credit Value: 2
Prerequisite (if any): Learning outcomes:
1. Student will able to state the fundamental concepts of statistics.
2. Student will understand the concept of probability, random variable, discrete probability
distributions, continuous probability distributions, parameter estimations, hypothesis testing,
linear regression and correlation.
3. Student will able to practice the taught concepts in real-life application
Value, Attitude, Ethic and
professionalisme
5.
6.
P9
100
30
/
/
Assignment
b.
Mid-Term
20
/
/
c.
Final Exam
50
/
/
/
MQA 02-ST00202
12.
Synopsis:
This course covers basic statistics which comprises of topics such as: probability, random variable, discrete
probability distributions, continuous probability distributions, parameter estimations, hypothesis testing, linear
regression and correlation.
1. To state the fundamental concepts of statistic
2. To understand the concept of probability, random
variable, discrete probability distributions, continuous
probability distributions, parameter estimations,
hypothesis testing, linear regression and correlation
7. To practice the taught concepts in real-life
application.
PEO2
PEO3
/
/
/
/
/
/
/
Life Long Learning
PEO1
Professional Skills
Design Skills
15.
Specialization
14.
Mode of Delivery:
Lecture
Assessment Methods and Types:
The assessment for this course will be based on the following:
Component
Weight
Quiz
10%
Mid Term Exam
20%
Group Assignment
20%
Final Exam
50%
Total
100%
Mapping of the course/module to the Programme Aims
Mapping of the course/module to the Programme Learning Outcomes
Scientific and Technical
Knowledge
13.
PEO4
PEO5
/
/
MQA 02-ST00202
P1
1. To state the fundamental
concepts of statistic
2. To understand the concept of
probability,
random
variable,
discrete probability distributions,
continuous probability distributions,
parameter estimations, hypothesis
testing, linear regression and
correlation
3. To practice the taught concepts
in real-life application.
P2
P3
/
/
/
/
/
/
P4
P5
P6
P7
P8
Leadership and Team Skills
Managerial and Entrepreneurial
Skills
Information management and
Longlife learning Skills
Value, Attitude and professionalisme
Sosial and team Skills and
Responsibilities
Communication Skills
Practical Skills / Practical /
psychomotor in mathematics with
economics
Problem solving and scientifics skills
in mathematics with economics
Mapping of the course/module to the Programme Learning Outcomes
Knowlegde of Discipline Area in
mathematics with economics
16.
P9
MQA 02-ST00202
17.
Content outline of the course/module and the SLT per topic (Please Refer to Appendix A SM20103)
Chapter 1: PROBABILITY
Basic probability concepts, probability law, joint & marginal probability
Chapter 2: RANDOM VARIABLE
Random variable concepts, discrete univariate distributions, continuous univariate distributions, joint
probability distributions for discrete variables, joint probability distributions for continuous variables,
covariance, correlation and expectations.
Chapter 3: DISCRETE PROBABILITY DISTRIBUTIONS
Uniform, Binomial, Poisson, Geometric, Multinomial, Negative Binomial and Hypergeometric
Chapter 4: CONTINUOUS PROBABILITY DISTRIBUTIONS
Normal distribution, t-distribution, Chi-square distribution and F distribution.
Chapter 5: PARAMETER ESTIMATIONS
Point estimation, properties of estimators, method of moments, method of maximum likelihood and sampling
distribution of means.
Chapter 6: ONE SAMPLE CONFIDENCE INTERVALS
Confidence intervals for the mean based on the normal distribution, confidence interval for the mean based on
the t distribution, confidence interval for the proportion based on the normal distribution and confidence
interval for variance.
Chapter 7: ONE SAMPLE TEST OF HYPOTHESIS
Tests of hypothesis for the mean based on the normal distribution, test of hypothesis for the mean based on
the t distribution, test of hypothesis for the proportion based on the normal distribution and test of hypothesis
for variance.
Chapter 8: TWO SAMPLE CONFIDENCE INTERVALS
Confidence intervals for the difference between two population means based on the normal distribution and t
distribution, confidence interval for the difference between two population proportions based on the normal
distribution and confidence interval for the ratio between two population variances.
Chapter 9: TWO SAMPLE TESTS OF HYPOTHESIS
Tests of hypothesis for the difference between two population means based on the normal distribution and t
distribution, tests of hypothesis for the difference between two population proportions based on the normal
distribution and tests of hypothesis for the ratio between two population variances.
18.
Chapter 10: LINEAR REGRESSION AND CORRELATION
The simple linear regression model, residual analysis and correlation.
 Main references supporting the course
1.
Bluman, A.G. 2009. Elementary Statistics A Step by Step Approach.7th ed. Mc Graw Hill. New York
2.
Ahmad Syukri Y., Amran A., Darmesah G and Chin Su Na. Problems & Solutions in Statistics for
Engineers & Scientists. 2008. Prentice Hall.
3.
Wackerly, D.D., Mendenhall III, W., and Scheaffer, R.L. 2002. Mathematical Statistics with
Applications, 6th Edition. Thomson Learning:South Western Ohio.
4.
Walpole and Myers. 2001. Probability and Statistics (6th edition). Prentice Hall. New Jersey.
5.
Triola M.F. 2001. Essentials of Statistics. Addison-Wesley Publishing Company. USA.
6.
Ajit C. Tamhane and Dorothy D. Dunlop. 2005. Statistics and Data Analysis
from Elementary to Intermediate. Prentice Hall. USA
19.
Other additional information