Section outline


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    • Instructor

      Lecture delivery tools


      Name : Farhana Tania

      Designation: Lecturer (Contractual)

      Email : farhana.ged0225.c@diu.edu.bd

      Phone Number : 01621114644


      Additional Materials

      WhatsApp Number: +8801621114644

      Telegram Number: +8801621114644

      You tube Chanel link is here.
      Facebook group link is here.

    • Course Introduction:

      Instructions/Guideline for the course

      Rationale and Objectives

      • Students can find all the course materials from Moodle.
      • All the students have to submit the soft copy of their "Assignment" in Moodle under assignment section created here and for this they will be graded here.
      • One discussion or feedback forum is created under each of the lecture Students have to give their feedback on these forum and marks will be given for their feedback
      • Any announcement regarding the class will be posted on Moodle. So they have to keep themselves always active on Moodle.
      • All the quizzes and presentation will be held on using online platform and it will be announced before the assessment.
      • The syllabus for the quizzes, midterm and final exam is given here under each of the section (quizzes, midterm and final)
      • There are midterm and final exam preparation forum under these sections where students can discuss with each other about their midterm and final exam syllabus, any problem regarding the exam etc.
      In real life, statistical methods can apply to solve different problems and help to make an effective decision that affect our daily lives. Statistical methods are used in development of planning, commerce, industry, business, formation of development policy, agricultural sector, social science etc. By studying this course, students will learn the fundamental knowledge about statistics and their applications.
       
      This course intends to provide the students with the basic concepts of Statistics. Upon completion of this course, the student should be able to-
      • Achieve a sound understanding of the theoretical and practical knowledge of statistics,
      • Impart them with fundamental knowledge about descriptive statistics and their applications.
      • Apply appropriate statistical tools (Regression, data mining, and probability) for making decision.
      • Able to apply their statistical knowledge and skills throughout their future studies.


    • Text and Reference Books

      Course Content with Outline

      Assessment Strategy

      ·     Text book. link
          Applied Statistics and Probability for Engineers by  Douglas C. Montgomery, Arizona State University.
      Book link here.
      References:
      ·         Statistics and Probability for Engineering Applications With Microsoft® Excel by W.J. DeCoursey College of Engineering, University of Saskatchewan Saskatoon. Book link is here
      ·         M. Nurul Islam, Inntroduction to Statistics and Probability, Book World.
      ·         INTRODUCTORY STATISTICS PREM S. MANN EASTERN CONNECTICUT STATE UNIVERSITY. Book link is here.

      Content

      • Introduction to Statiistics
      • Data Collection
      • Measures of Ccentral Tendency
      • Measures of Ddispersion  Shape of the distribution
      • Corrrelation Analysis
      • Regression analysis
      • Probability
      • Probability Distribution

      Course Outline

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    • BLC Quick Access pathway(Content Indexing):

      Class Tests

      Assignments

      Presentation

      Midterm

      Final

      CT1

      ASN1

      PRN

      Midterm

      Final Exam

      CT2


      CT3