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      MATH 280 | Course Introduction and Application Information

      Course Name
      Introduction to Probability and Statistics
      Code
      Semester
      Theory
      (hour/week)
      Application/Lab
      (hour/week)
      Local Credits
      ECTS
      MATH 280
      Fall/Spring
      2
      2
      3
      6

      Prerequisites
        MATH 102 To get a grade of at least FD
      Course Language
      English
      Course Type
      Service Course
      Course Level
      First Cycle
      Mode of Delivery -
      Teaching Methods and Techniques of the Course Lecture / Presentation
      National Occupation Classification -
      Course Coordinator
      • Dr. Öğr. Üyesi Necla KOÇHAN
      Course Lecturer(s)
      • Doç. Dr. Özge Eren
      Assistant(s)
      • Araş. Gör. Ayşe BELER
      • Araş. Gör. Merve KAHRAMAN ARİMAN
      Course Objectives To provide the fundamental concepts of Probability and Statistics with applications of business and economic problems. Fundamental statistical methods and applications are presented especially for students who want to specialize in areas where data analysis and results need to be interpreted.
      Learning Outcomes

      The students who succeeded in this course;

      • create graphs for categorical and numerical data.
      • investigate measures of central tendency and variation.
      • solve various probability problems by applying fundamentals of probability.
      • use special discrete probability distributions or continuous probability distributions in different environments.
      • calculate the confidence interval for the average of one and two main masses with normal distribution in cases where the main mass variant is known and unknown.
      • use confidence intervals.
      • apply hypothesis test for one and two populations that are normally distributed.
      Course Description This course investigate probability, discrete and continuous probability distributions. Also, provides constructing the sampling distributions, confidence interval estimation and Hypothesis tests of one and two populations.
      Related Sustainable Development Goals

       



      Course Category

      Core Courses
      Major Area Courses
      Supportive Courses
      Media and Management Skills Courses
      Transferable Skill Courses

       

      WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

      Week Subjects Related Preparation
      1 Describing data: graphical Newbold P., Carlson W.L., Thorne B., “Describing data: graphical”, chap 1 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 25-62.
      2 Describing data: numerical Newbold P., Carlson W.L., Thorne B., “Describing data: numerical”, chap 2 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 63-96.
      3 Probability Newbold P., Carlson W.L., Thorne B., “Probability”, chap 3 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 97-149.
      4 Probability Newbold P., Carlson W.L., Thorne B., “Probability”, chap 3 in Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 97-149.
      5 Probability Newbold P., Carlson W.L., Thorne B., “Probability”, chap 3 in Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 97-149.
      6 Discrete Random Variable, Bernoulli and Binomial Probability Distributions, Jointly Distributed Discrete Random Variables Newbold P., Carlson W.L., Thorne B., “Discrete random variables and Probability Distributions”, chap 4 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 150-200.
      7 Continuous Random Variable, Normal Distribution, Jointly Distributed Continuous Random Variables Newbold P., Carlson W.L., Thorne B., “Continuous random variables and Probability Distributions”, chap 5 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 201-247.
      8 Sampling, Sampling Distribution of Sample Mean and Sampling Distribution of Sample Proportion Newbold P., Carlson W.L., Thorne B., “Sampling and sampling distributions”, chap 6 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 248-287.
      9 Midterm
      10 Estimation: Confidence Interval for Single Population Mean, Confidence Interval for Single Population Proportion and Determining Sample Size Newbold P., Carlson W.L., Thorne B., “Estimation: single population”, chap 7 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 288-331.
      11 Estimation: Confidence Interval for Two Population Means, Confidence Interval for Two Population Proportions Newbold P., Carlson W.L., Thorne B., “Estimation: additional topics”, chap 8 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 332-349.
      12 Hypothesis Testing: Single Population Mean and Single Population Proportion Newbold P., Carlson W.L., Thorne B., “Hypothesis testing: single polulation”, chap 9 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 350-388.
      13 Hypothesis Testing: Two Population Means and Two Population Proportions Newbold P., Carlson W.L., Thorne B., “Hypothesis testing: additional topics”, chap 10 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 389-420.
      14 Semester Review
      15 Semester Review
      16 Final exam

       

      Course Notes/Textbooks

      Newbold P., Carlson W.L., Thorne B., Statistics for Business and Economics, 10th edition (Pearson, 2022), 

      ISBN-13:978-1292436845

       
       
      Suggested Readings/Materials

      Lind D., Marchal S., Statistical Techniques in Business & Economics, 17th edition (McGraw-Hill, 2017),

      ISBN-13: 978-1259666360

       
       

       

      EVALUATION SYSTEM

      Semester Activities Number Weigthing
      Participation
      Laboratory / Application
      Field Work
      Quizzes / Studio Critiques
      2
      20
      Portfolio
      Homework / Assignments
      Presentation / Jury
      Project
      Seminar / Workshop
      Oral Exams
      Midterm
      1
      30
      Final Exam
      1
      50
      Total

      Weighting of Semester Activities on the Final Grade
      3
      50
      Weighting of End-of-Semester Activities on the Final Grade
      1
      50
      Total

      ECTS / WORKLOAD TABLE

      Semester Activities Number Duration (Hours) Workload
      Theoretical Course Hours
      (Including exam week: 16 x total hours)
      16
      2
      32
      Laboratory / Application Hours
      (Including exam week: '.16.' x total hours)
      16
      2
      32
      Study Hours Out of Class
      14
      2
      28
      Field Work
      0
      Quizzes / Studio Critiques
      2
      10
      20
      Portfolio
      0
      Homework / Assignments
      0
      Presentation / Jury
      0
      Project
      0
      Seminar / Workshop
      0
      Oral Exam
      0
      Midterms
      1
      28
      28
      Final Exam
      1
      40
      40
          Total
      180

       

      COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

      #
      Program Competencies/Outcomes
      * Contribution Level
      1
      2
      3
      4
      5
      1

      To be able to solve problems with an analytical and holistic viewpoint in the field of business administration.

      -
      -
      -
      -
      -
      2

      To be able to present the findings and solutions to the business problems in written and oral formats.

      -
      -
      -
      -
      -
      3

      To be able to interpret the application of business and economic concepts, and philosophies at the national and international levels.

      -
      -
      -
      -
      -
      4

      To be able to use innovative and creative approach for real-life business situations.

      -
      -
      -
      -
      -
      5

      To be able to demonstrate leadership skills in different business situations.

      -
      -
      -
      -
      -
      6

      To be able to interpret the reflections of new technologies and softwares to business dynamics.

      -
      -
      -
      -
      -
      7

      To be able to integrate knowledge gained in the five areas of business administration (marketing, production, management, accounting, and finance) through a strategic perspective.

      -
      -
      -
      -
      -
      8

      To be able to act in accordance with the scientific and ethical values in studies related to business administration.

      -
      -
      -
      X
      -
      9

      To be able to work efficiently and effectively as a team member.

      -
      -
      -
      -
      X
      10

      To be able to have an ethical perspective and social responsiveness when making and evaluating business decisions.

      -
      -
      -
      -
      -
      11

      To be able to collect data in the area of business administration and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1).

      -
      -
      -
      -
      -
      12

      To be able to speak a second foreign at a medium level of fluency efficiently.

      -
      -
      -
      -
      -
      13

      To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

      -
      -
      -
      -
      X

      *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest


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