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Course List

Introduction to Statistics

  • Course Code :
    STS 101
  • Level :
    Undergraduate
  • Course Hours :
    3.00 Hours
  • Department :
    Faculty of Economics & Political Science

Instructor information :

Area of Study :

This course presents the basic statistical ideas that are used in different social science disciplines. The course covers various statistical instruments such as: calculating the measures of central tendency (mean- median- mode- variance- standard deviation), providing the students with different graphical illustrations (histogram- bar charts- pie charts- stem and leaf-line and scatter plot), analyzing data and its distribution (discrete distribution-continuous distribution), as well as covering structures and methods of probability distributions. The course also familiarizes students with the use of statistical software program. Course Goals: • Prepare students with a deeper insight on the possible sub-fields in economics, political science, public administration and mass media. • Organize analyses, interpret and summarize the data in a useful and informative manner. • Distinguish between different kinds of data and how they can describe the data in several behaviors.

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Introduction to Statistics

This course presents the basic statistical ideas that are used in different social science disciplines. The course covers various statistical instruments such as: calculating the measures of central tendency (mean- median- mode- variance- standard deviation), providing the students with different graphical illustrations (histogram- bar charts- pie charts- stem and leaf-line and scatter plot), analyzing data and its distribution (discrete distribution-continuous distribution), as well as covering structures and methods of probability distributions. The course also familiarizes students with the use of statistical software program.

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Introduction to Statistics

Course outcomes:

a. Knowledge and Understanding:

1- 1.1) Understand data types, how data should be sampled, tabulated and graphed.
2- 1.2) Comprehend frequency distributions and different graphical techniques.
3- 1.3) Differentiate between descriptive and inferential statistics

b. Intellectual Skills:

1- 3.1) Analyze problems and design problem solving techniques.
2- 3.2) Compare and examine observational studies.
3- 3.3) Analyze data using graphs Construct a frequency distribution, histogram, pie chart and a scatter plot.

c. Professional and Practical Skills:

1- 2.1) Select the right sample, distinguishing between random and nonrandom sampling.
2- 2.2) Select the appropriate law of probability to use in solving problems.
3- 2.3) Compute the mean, median, mode, percentile, quartile, range and variance on grouped and ungrouped data.
4- 2.4) Distinguish between discrete distribution and continuous distribution.
5- 2.5) Experiment probability theory and rules.

d. General and Transferable Skills:

1- 4.1) Enhance critical thinking and innovation.
2- 4.2) Abstract reasoning, methodological knowledge and technical know-how.

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Introduction to Statistics

Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical
Introductory Lecture and Course Outline 5 1 1
Data Collection • Methods of Collecting Data • Descriptive vs. Inferential Statistics 5 1 1
Population, Sample and Sampling Techniques 5 1 1
Data Description: Charts and graphical representation • Frequency Distribution • Histograms • Bar Chart- Pie chart- Stem and Leaf Diagram • Scatter Plot and Line Chart 10 2 2
Midterm Exam 1
Measuring of Center and Location: • Population Mean and Sample Mean • Median • Mode • Weighted Mean • Percentiles and Quartiles 10 2 2
Measurements of Variation: • Range • Interquartile range • Population Variance and Standard Deviation • Sample Variance and Standard Deviation • Coefficient of Variation 15 3 3
Introduction to Probability: • Probability Rules 15 3 3
Final Exam 1

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Introduction to Statistics

Teaching And Learning Methodologies:

Teaching and learning methods
Presentation
Group discussion
Research Paper

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Introduction to Statistics

Course Assessment :

Methods of assessment Relative weight % Week No. Assess What
Course Work (Attendance, Participation, Assignments, Quizzes, Research Paper…) 30.00 To assess theoretical background of the intellectual and practical skills
Final Exam 40.00 15 To assess knowledge and intellectual skills
Midterm Exam 30.00 6 To assess professional skills

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Introduction to Statistics

Books:

Book Author Publisher
Business Statistics A Decision-Making Approach David F. PEARSON

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