Download MATLAMAT (GOALS):

UNIVERSITI TUN HUSSEIN ONN MALAYSIA
Fakulti/Pusat Pengajian (Faculty/Centre) :
Fakulti Sains, Teknologi dan Pembangunan Insan
Kod Kursus (Course Code):
BWM 20502
Nama Kursus (Name of course) :
Engineering Statistics
Kursus Pra Syarat (Prerequisite Course) :
none
Edisi (Edition) : 2
Mukasurat (Page):
1/4
Kredit
(Credit) :
2
Kuliah
(Lecture) :
1
Tutorial :
2
Amali
(Practical):
0
Tarikh Keluaran (Published date) : 5 Mei 2012
MATLAMAT (GOALS):
To assist students comprehend basic statistical concepts and techniques and to present real life opportunities
in applying them.
SINOPSIS (SYNOPSIS):
Random Variables : Discrete and continuous random variables, probability distribution functions,
cumulative distribution functions, expected values and variances. Special Probability Distributions :
Binomial distribution, Poisson distribution, means and variances, Poisson approximation to Binomial
distribution, normal distribution, standard normal distribution, normal approximation to Binomial
distribution. Sampling Distribution : Sampling distribution of single mean, sampling distribution of the
difference between two means, sampling distribution test: t, chi-square and F distribution. Estimation :
Point estimate, confidence interval for single mean, difference between two means, single variance and
ratio of two variances. Hypothesis Test : Type 1 and type 2 errors, hypothesis test for single mean,
difference between two means, single variance and ratio of two variances. Simple Linear Regression :
Graphical method, simple linear regression model, least square method, coefficient of determination,
correlation coefficient.
HASIL PEMBELAJARAN (LEARNING OUTCOMES):
After completing this subject, the students should be able to:
1. Apply the concepts of statistics involving confidence intervals, hypothesis testing and simple linear
regression models (C3, PLO1).
2. Practice the theory of statistics involving the sampling distributions for the single and two
population means (P2, PLO4).
3. States all the types of distribution that will be use in sampling technique (A2, PLO6).
ISI KANDUNGAN (CONTENT):
MINGGU
(WEEK)
1-2
KANDUNGAN
(CONTENT)
1.0 Random Variable (4 hours)
1.1 Discrete random variable.
1.2 Continuous random variable.
PENTAKSIRAN
(ASSESSMENT)
Test 1
UNIVERSITI TUN HUSSEIN ONN MALAYSIA
1.3
1.4
1.5
3-5
6–7
8–9
10 - 12
13 – 14
Probability distribution functions
Cumulative distribution functions.
Expected values and variances
2.0 Special Probability Distributions (6 hours)
2.1 Binomial distribution.
2.2 Poisson distribution.
2.3 Means and variances.
2.4 Poisson approximation to Binomial distribution.
2.5 Normal distribution.
2.6 Standard normal distribution.
2.7 Normal approximation to Binomial distribution.
3.0 Sampling Distribution (4 hours)
3.1 Sampling distribution of single mean.
3.2 Sampling distribution of the difference between two
means.
3.3Sampling distribution test: t, chi-square and F
distribution.
4.0 Estimation (4 hours)
4.1 Point estimate.
4.2 Confidence interval for single mean, difference
between two means, single variance and ratio of two
variances.
5.0 Hypothesis Testing (6 hours)
5.1 Type 1 and type 2 errors.
5.2 Hypothesis testing for single mean, difference between
two means, single variance and ratio of two variances.
6.0 Simple Linear Regression (4 hours)
6.1 Graphical method.
6.2 Simple linear regression model.
6.3 Least square method.
6.4 Coefficient of determination.
6.5 Correlation coefficient.
TUGASAN / PROJEK (ASSIGNMENT / PROJECT)
The students have to use SPSS software to solve statistical analysis problem.
PENILAIAN (ASSESSMENT):
1.
Kuiz (At least 3 Quizzes)
:
5%
Final
Quiz 1
Test 1
Final
Quiz 2
Test 2
Test 2
Final
Quiz 3
Final
Quiz 4
Final
Quiz 5
Final
Quiz 6
Assignment & Project
UNIVERSITI TUN HUSSEIN ONN MALAYSIA
2.
Tugasan (Assignment)
:
5%
3
Ujian (Test)
:
4.
Projek (Project)
:
TEST 1 (20%)
TEST 2 (15%)
5%
5.
Lain-lain (Others)
:
-
6.
Peperiksaan Akhir
(Final Examination)
:
50%
Jumlah (Total)
:
100%
RUJUKAN (REFERENCES):
Main References:
(1) Teaching Module Engineering Statistics BWM 20502. Fakulti Sains, Teknologi dan Pembangunan
Insan, UTHM, 2011
(2) Nafisah Md. Kamaruddin et al. Engineering Statistics 2nd Edition. Pusat Pengajian Sains,
KUiTTHO, 2004
Other References:
(1) John E. Freund. Mathematical Statistics, Sixth Edition. Prentice-Hall, New Jersey, 1999.
(2) Douglas C. Montgomery, George C. Runger & Norma Faris Hubele. Engineering Statistics. John
Wiley. 1998
(3) Robert D. Mason. Statistics : An Introduction. Sounders College Publisher, Texas, 1994
KEHADIRAN / PERATURAN SEMASA KULIAH (LECTURE ATTENDANCE / REGULATION)
(1) Pelajar mesti hadir tidak kurang dari 80% masa pertemuan yang ditentukan bagi sesuatu kursus
termasuk kursus Hadir Wajib (HW) dan kursus Hadir Sahaja (HS).
Students must attend lectures not less than 80% of the contact hours for every course
including Compulsory Attendance Courses (Hadir Wajib – HW) and Attendance
Only Courses (Hadir Sahaja – HS)
(2) Pelajar yang tidak memenuhi perkara (1) di atas tidak dibenarkan menghadiri kuliah dan
menduduki sebarang bentuk penilaian selanjutnya. Markah sifar (0) akan diberikan kepada
pelajar yang gagal memenuhi perkara (1). Manakala untuk kursus Hadir Wajib (HW), pelajar
yang gagal memenuhi perkara (1) akan diberi Hadir Gagal (HG).
Students who do not fulfill item (1) will not be allowed to attend further lectures and
sit for any further examination. Zero mark (0) will be given to students who fail to
comply with item (1). While for Compulsory Attendance Courses (Hadir Wajib –
UNIVERSITI TUN HUSSEIN ONN MALAYSIA
HW), those who fail to comply with item (1) will be given Failure Attendance (Hadir
Gagal – HG).
(3) Pelajar perlu mengikut dan patuh kepada peraturan berpakaian yang berkuatkuasa dan menjaga
disiplin diri masing-masing untuk mengelakkan dari tindakan tatatertib diambil terhadap
pelajar.
Students must obey all rules and regulations of the university and must discipline
themselves in order to avoid any disciplinary actions against them.
(4) Pelajar perlu mematuhi peraturan keselamatan semasa pengajaran dan pembelajaran.
Student must obey safety regulations during learning and teaching process.
Disediakan oleh (Prepared by):
Tandatangan (Signature):
Nama (Name): SULIADI FIRDAUS SUFAHANI
Jawatan (Post): TUTOR
Tarikh (Date): 30/1/2014
Disahkan oleh (Certified by):
Tandatangan (Signature):
Nama (Name): DR MOHAMAD ZAKY NOH
Jawatan (Post): DEKAN
Tarikh (Date): 30/1/2014