Topic outline

  • General


    to the Course


  • E-Business Data Analysis : Rationale of the Course and course objective


  • Class 1: Review Class

    Introduction

    This chapter will cover the basic concept of statistics with its types, some basic terms like population, sample, parameter, and statistic.

    Learning Objectives

    When you have completed this chapter, you will be able to-
    LO1 List ways that statistics is used.
    LO2 Know the differences between descriptive and inferential statistics.
    LO3 Understand the differences between a sample and a population

    Course contents:

    What Is Meant By Statistics? Types Of Statistics,  Some Basic Terminology Of Statistics, What Is Data, Types Of Data, Types Of Variables, Levels Of Measurement (Nominal, Ordinal, Interval, And Ratio), A Measure Of Central Tendency: Mean, Median and Mode, Range, Dispersion: Average Deviation Measures, Relative Dispersion: The Coefficient Of Variation

    Lesson Plan:

    •  Discussion from lecture slide
    •  Group work and individual work
    •  Question and answer
       
                                         
     


    • Class 2: Review Class

      Introduction

      This chapter will cover the basic concept of statistics with its types, some basic terms like population, sample, parameter, and statistic.

      Learning Objectives

      When you have completed this chapter, you will be able to-
      LO1 List ways that statistics is used.
      LO2 Know the differences between descriptive and inferential statistics.
      LO3 Understand the differences between a sample and a population

      Course contents:

      displaying and exploring Data:
      Stem-And-Leaf Displays; Quartiles, Deciles, and Percentiles,Measures Of Skewness, What Is Correlation Analysis? The Coefficient Of Correlation, The Coefficient Of Determination, What Is Regression Analysis, The Standard Error Of Estimate, Assumptions Underlying Linear Regression, Confidence And Prediction Intervals, More On The Coefficient Of Determination

      Lesson Plan:

      •  Discussion from lecture slide
      •  Group work and individual work
      •  Question and answer

    • Class 3: Questionnaire Develop

      Introduction

      This chapter will give an idea about questionnaire development.

      Learning Objectives

      When you have completed this chapter, you will be :
      LO1  Able to develop a questionnaire
      Course Contents
      To develop a questionnaire for research, identify the main objective of your study to act as the focal point for the questionnaire. Then, choose the type of questions you want to include and come up with succinct, straightforward questions to gather the information you need to answer your questions.

    • Class 4: Sampling

      Introduction

      This chapter will give an idea about Sample size determination.

      Learning Objectives

      When you have completed this chapter, you will be :
      LO1  Able to determine appropriate sample size
      Course Contents
      SAMPLING METHODS

    • Class 5: Introduction to SPSS

    • Descriptive data analysis

    • Descriptive data analysis

    • Quiz 2

      • Quiz 2
        Opened: Thursday, 23 June 2022, 7:00 PM
        Closed: Thursday, 23 June 2022, 7:20 PM

    • Cross tabulation

    • Assignment

      • Assignment
        Opened: Sunday, 19 June 2022, 12:00 AM
        Due: Thursday, 23 June 2022, 12:00 AM

    • Presentation

    • Graphical Representation of DATA

    • Correlation analysis in SPSS

      Pearson Correlation Coefficient and Interpretation in SPSS
      1. Click on Analyze -> Correlate -> Bivariate.
      2. Move the two variables you want to test over to the Variables box on the right.
      3. Make sure Pearson is checked under Correlation Coefficients.
      4. Press OK.
      5. The result will appear in the SPSS output viewer.

    • Regression Analysis in SPSS

      Regression is a statistical technique to formulate the model and analyze the relationship between the dependent and independent variables. It aims to check the degree of relationship between two or more variables. This is done with the help of hypothesis testing.

    • Reliability Analysis

      To test the internal consistency, you can run the Cronbach's alpha test using the reliability command in SPSS, as follows: RELIABILITY /VARIABLES=q1 q2 q3 q4 q5. You can also use the drop-down menu in SPSS, as follows: From the top menu, click Analyze, then Scale, and then Reliability Analysis.

    • Topic 17

      • Topic 18

        • Topic 19

          • Topic 20