SE141 : Principles of Statistics 2

Department

Department of Business Administration Management

Academic Program

Bachelor in Business Management

Type

Compulsory

Credits

03

Prerequisite

SE140

Overview

The course aims to introduce students to the foundations and rules of probability and its theories, and how to benefit from analytical statistics in various fields. Then the student learns how to apply analytical statistics, its applications, and its relationship to mathematical foundations, and the student deduces the significance of numbers in the science of statistics.

Intended learning outcomes

. Knowledge and understanding

  • That the student understands the most important basic concept of probability and its theories.
  • That the student know how to solve problems and exercises according to the rule attached to it.
  • That the student be able to apply the foundations of analytical statistics in various fields.
  • To acquaint the student with the types of distributions and how to use them in solving problems.

2. Mental skills

  • It develops the student's ability to apply the rules of probability in practice.
  • The student concludes how to use statistical solutions.
  • The student uses statistical analysis.
  • The student makes the correct statistical decision.

3. Scientific and professional skills

  • Providing students with scientific skills in solving statistical problems.
  • Provide the student with the skill of using appropriate methods in the solution.
  • Providing the student with how to apply the rules of analytical statistics in practice.
  • Providing students with how to benefit from statistical information.
  • Providing the student with the skill of using the calculator and its applications.

4. General skills

  • That the student has the ability to dialogue and discussion.
  • The student should be able to communicate with others.
  • The student should be able to manage time.
  • The student should be able to work in a team.

Teaching and learning methods

  • Attending lectures required for the course.
  • Ask some questions and raise some issues in the lecture and involve the students in answering and discussing them.
  • Give the student a task that needs to be done.
  • Assign students to prepare a summary of the lessons according to their understanding of the lecture.

Methods of assessments

  • First midterm exam 20%.
  • Second midterm exam 20%.
  • Final exam 60%.

Week

Scientific subject

Number of hours

1 ، 2

Principles of probability theory

6

3 ، 4

Random variables and their random distributions

6

5

Some of the most important discrete probability distributions

3

6 ، 7

Some of the most important related probability distributions

6

8

F distribution, T distribution, normal distribution

3

9

Sampling Distribution: Central Limit Theorem

3

10

Distribution of the sample mean: the distribution of the difference between the sample mean

3

11

Estimation Theory: Introduction to Estimation Theory

3

12

Estimating the population mean for the confidence interval

3

13 ، 14

Theory of Hypothesis Tests

6

Accounting Principles I (ACC 130)
Financing Principles (FIN160)
Principles of Statistics 140 (SE140)
Computer Fundamentals (ECM181)
Principles of Statistics 2 (SE141)
Principles of Accounting II (ACC131)
Fundamentals of mathematical analysis 1 (SE142)
Political Science (POL150)
Intermediate Accounting II (ACC 231)