SOUTHWESTERN UNIVERSITY, NIGERIA
FACULTY OF PURE AND APPLIED SCIENCES
Department of Mathematics and Computer Science
STA 111 – ELEMENTARY STATISTICS
COURSE PARTICULARS
Course Code: STA 111
Course Title: Elementary Statistics
No of Units: 3
Course Duration: Two hours per week for 14 weeks
Status: Required
Prerequisite: Nil
COURSE INSTRUCTOR
D. O. Daniel
Department of Mathematics and Computer Science
Southwestern University, Nigeria
Phone No: +2348166748714
Email:
COURSE DESCRIPTION
This course is the statistics introductory course at the undergraduate level, designed primarily for
students in mathematics, pure and applied sciences. However, it also meets the need of students
in other fields. The course’s focus is to introduce the student to the basic principles and
applications of statistics; several statistical concepts and techniques; and how to employ them in
making generalisations and decisions on social, health and related issues. Topics to be covered
include: frequency distribution- class interval, class limits, class boundaries, data presentation,
bar chart, histogram, cumulative frequencies and O-give; Measure of location or central tendency
– mean, median, mode, quartiles and percentiles for ungrouped and grouped data; Measure of
dispersion – range, standard deviation, variance, moment, skewness and kurtosis; Probability
, theory – basic laws of probability, addition of probabilities, conditional probability; Probability
distribution – Binomial Distributions, Poisson Distribution and Normal Distribution.
COURSE OBJECTIVES
The objectives of this course are to:
Introducing the student to the statistical process and methods in common use by
• Introducing the students to the fundamental statistical concepts and procedure.
Illustrating how these principles can be applied to issues in nursing practice and
research.
• Explaining to student data and case studies from information collection agencies
and government sources may be employed to solve current health problems.
• Give the student the grounding in the ability to generalize and decide positively
on situations arising in the health sector.
COURSE LEARNING OUTCOMES/COMPETENCES
Upon successful completion of this course, the students will be able to:
Collect adequate and reliable statistical information.
Present the data in forms in which the main characteristics are easily understood.
Organize and summarise the information collected.
Treat the data scientifically i.e analyse the main features of the data.
GRADING SYSTEM FOR THE COURSE
This course will be graded as follows:
Assignments 10%
Popup Test(s) 10%
Test(s) 20%
Examination 60%
TOTAL 100%
GENERAL INSTRUCTIONS
Attendance: It is expected that every student will be in class for lectures. Attendance records
will be kept and used to determine each person’s qualification to sit for the final examination. A
student must have at least 80% in attendance before being qualified to sit for final examination.
FACULTY OF PURE AND APPLIED SCIENCES
Department of Mathematics and Computer Science
STA 111 – ELEMENTARY STATISTICS
COURSE PARTICULARS
Course Code: STA 111
Course Title: Elementary Statistics
No of Units: 3
Course Duration: Two hours per week for 14 weeks
Status: Required
Prerequisite: Nil
COURSE INSTRUCTOR
D. O. Daniel
Department of Mathematics and Computer Science
Southwestern University, Nigeria
Phone No: +2348166748714
Email:
COURSE DESCRIPTION
This course is the statistics introductory course at the undergraduate level, designed primarily for
students in mathematics, pure and applied sciences. However, it also meets the need of students
in other fields. The course’s focus is to introduce the student to the basic principles and
applications of statistics; several statistical concepts and techniques; and how to employ them in
making generalisations and decisions on social, health and related issues. Topics to be covered
include: frequency distribution- class interval, class limits, class boundaries, data presentation,
bar chart, histogram, cumulative frequencies and O-give; Measure of location or central tendency
– mean, median, mode, quartiles and percentiles for ungrouped and grouped data; Measure of
dispersion – range, standard deviation, variance, moment, skewness and kurtosis; Probability
, theory – basic laws of probability, addition of probabilities, conditional probability; Probability
distribution – Binomial Distributions, Poisson Distribution and Normal Distribution.
COURSE OBJECTIVES
The objectives of this course are to:
Introducing the student to the statistical process and methods in common use by
• Introducing the students to the fundamental statistical concepts and procedure.
Illustrating how these principles can be applied to issues in nursing practice and
research.
• Explaining to student data and case studies from information collection agencies
and government sources may be employed to solve current health problems.
• Give the student the grounding in the ability to generalize and decide positively
on situations arising in the health sector.
COURSE LEARNING OUTCOMES/COMPETENCES
Upon successful completion of this course, the students will be able to:
Collect adequate and reliable statistical information.
Present the data in forms in which the main characteristics are easily understood.
Organize and summarise the information collected.
Treat the data scientifically i.e analyse the main features of the data.
GRADING SYSTEM FOR THE COURSE
This course will be graded as follows:
Assignments 10%
Popup Test(s) 10%
Test(s) 20%
Examination 60%
TOTAL 100%
GENERAL INSTRUCTIONS
Attendance: It is expected that every student will be in class for lectures. Attendance records
will be kept and used to determine each person’s qualification to sit for the final examination. A
student must have at least 80% in attendance before being qualified to sit for final examination.
