Topic outline

  • General


    • My beloved Business Statistics Students:

      Welcome to Business  Statistics.  My name is Md. Anhar Sharif Mollah, and I am your instructor in this course. In addition to welcoming you to the course, I would like to give you some helpful information and a few hints for successful completion of this course. For many of you, this is your first experience with an online course. Online courses provide a different way to study and place different skills from students. You will find that, as an online learner, self motivation and discipline are paramount. This means that you are completely responsible for establishing and maintaining a regular study system. In addition, some students anticipate that online courses will be easier than face-to-face courses. From my experience, mostly students say…..they are NOT. You will be responsible for the same course materials and the same standards of excellence that are required in the face to face courses. While the E-learning team and I will provide you with support during the course but you should be aware of the self-discipline required to successfully complete STA 101. My experience with online study is that getting started and keeping on schedule are most important to successful completion. Review the course instructions in your Syllabus and course homepage in Compass. They provide important information about the purpose of assignments.

    • Course Information:

      Course Title: Business Statistics
      Course Code: STA 101
      Credit Hour: 03


      Instructor Profile:


      Course Teacher:         Md. Anhar Sharif Mollah
      Designation:                Assistant Professor 
      Email:                             anhar.bba@diu.edu.bd
      Contact No:                   01758883609

    • Course Objectives:

      The major objective of this course is to provide students with sound understanding of the theoretical and practical knowledge of statistics, thereby, enabling them to apply their statistical knowledge and skills throughout their future studies and careers.

      Course Learning Outcomes: 

      CLO 1

      Understand the basic idea of the term ‘statistics’.

      CLO 2

      Learn how to collect data and describe data.

      CLO 3

      Evaluate the Measures of Central Tendency.

      CLO 4

      Understand the Measures of Dispersion in Frequency Distributions.

      CLO 5

      Understand the concept of “Correlation Analysis”.

      CLO 6

      Understand the concept of “Regression Analysis”.

       

    • Course Content:

      1. Introduction to Statistics

      2. Describing Data: Frequency Distributions And Graphic Presentation

      3. Measures of Central Tendency

      4. Measures of Dispersion In Frequency Distributions

      5.Measures Of Skewness, Measures Of Kurtosis

      6.  Correlation Analysis

      7. Regression Analysis

    • Semester Schedule:


  • Course Outline

  • Lecture 1-3: Introduction to Statistics

    Learning Outcomes:

    • -      -To describe why statistics is used
    • -      -To know the differences between  descriptive and inferential statistics
    • -      -To understand the differences between a sample and a population
    • -      -To explain the difference between qualitative and quantitative variables
    • -      -To compare the  differences between  discrete and continuous  variables
    • -      -To recognize the levels of measurement in data

    Chapter Content:

    • What Is Meant By Statistics? 
    • Types Of Statistics, Some Basic Terminology Of Statistics, 
    • Characteristics Of Statistics, 
    • Importance, 
    • Applications Of Statistics In social research, 
    • Limitations Of Statistics.

  • Lecture: 04-07: Describing Data: Frequency Distributions And Graphic Presentation

    Learning Outcomes:

    •                  -To understand various types of data
    •                  -To make a frequency table for a set of data.
    •                  -To organize data into a bar chart.
    •                  -To present a set of data using a pie chart

     Chapter Content:
    What Is Data, Types Of Data, Types Of Variables, Constructing A Frequency Table, Constructing Frequency Distribution: Quantitative Data, Relative Frequency Distribution, Graphic Presentation Of A Frequency Distribution, Cumulative Frequency Distributions

  • Lecture: 08-13: Measures of Central Tendency

    Learning Outcomes:

    • Able to understand different measures Of Central Tendency
    • Able to calculate different measures Of Central Tendency
    • Able to identify use of mean, median and mode
     Chapter Contents:

    Summary Statistics, A Measure Of Central Tendency: Arithmetic Mean, A Second Measure Of Central Tendency: Weighted Mean, A Third Measure Of Central Tendency: Geometric Mean, A Fourth Measure Of Central Tendency: The Median, A Final Measure Of Central Tendency: The Mode,Quartiles, Deciles And Percentiles.


  • Midterm Examination

    Midterm Marks Distribution:  

    Mid Term Assessment Policy- Total 25 marks 

    MCQ- 20 marks

    Short analytical questions -05 marks


    • Midterm Exam Quiz

      Daffodil International University (DIU)
      Faculty of Business and Entrepreneurship
      Program: BBA
      Semester:        Spring 2021                               
      Course Code: STA 101           
      Examination: Mid-term
      Time: 1.30 Hours                                                      
      Full Marks: 25
      Course Title: Title: Business Statistics

      Start Time: 1:30 pm - 03:00 pm

      Start date: 11.03.2021


    • Answer Script Assignment

      Please submit your answer Script here in PDF form

  • Lecture 13-15: Measures of Dispersion In Frequency Distributions

    Learning Outcomes: 

    •  To explain and apply measures of dispersion.
    • To compute and explain the variance and the standard deviation under grouped data and ungrouped data.
    • To compute and explain coefficient of variation
    • Able to identify use of  different measures Of Dispersion
    Chapter Content:
    • Range, 
    • Dispersion: 
    • Average Deviation Measures, 
    • Relative Dispersion: 
    • The Coefficient Of Variation.

  • Lecture 16-17: Skewnwss

    Learning Outcomes: 

    • To compute and explain coefficient of variation
    • To compute and analyze coefficient of skewness under ungrouped data
    • -To compute and analyze coefficient of skewness under grouped data

    Chapter Content: 

    • Measures Of Skewness, 
    • Measures Of Kurtosis

  • Lecture 18-20: Correlation Analysis

    Learning Outcomes:

    • Able to understand basic idea of the Correlation Analysis
    • Able to calculate the Coefficient Of Correlation and the Coefficient Of Determination
    Chapter Content: 
    What Is Correlation Analysis? The Coefficient Of Correlation, The Coefficient Of Determination, Testing The Significance Of The Correlation Coefficient.


  • Lecture 21-23: Regression Analysis

    Learning Outcome:

    • To apply regression analysis to estimate the   linear relationship between two variables
    • To interpret the regression analysis
    • To evaluate a regression equation to predict the dependent variable.
    Chapter Content:

    What Is Regression Analysis, The Standard Error Of Estimate, Assumptions Underlying Linear Regression, Confidence And Prediction Intervals, More On The Coefficient Of Determination; The Relationships Among The Coefficient Of Correlation, The Coefficient Of Determination, And The Standard Error Of Estimate.

  • Final Assessment

     MCQ/True-False/Short Question/Fill in the gaps/Analytical question   =   40 Marks
                                                                                                            
                                                                                                                Total Marks  = 40 Marks
     Final  Syllabus: 
    Lecture  04- Lecture 23.

    • Comprehensive Assessment Quiz

      Daffodil International University (DIU)
      Faculty of Business and Entrepreneurship
      Program: BBA
      Semester:      Spring 2021                                
      Course Code: STA 101         
      Time:  120 Minutes                                                    
      Full Marks: 40
      Course Title: Title: Business Statistics

      Start Time: 10.00 AM

      Start date: 22. 04.2021


    • Answer Script Assignment
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      Please submit your answer script in pdf format