Intro to Ivy's E-Portfolio

This E-Portfolio in Educ 213 is another innovative path for us students to learn more about to the new methods, strategies and techniques in integrating Information and Communication Technology (ICT) in our lessons. This enables us to be competitive and innovative in this highly industrialize century which help us develop the higher order thinking skills and multiple intelligences of the students.


Join us, NDMU Graduate School students in our Educ 213 - Statistics subject, with our professor Dr. Robles as we journey into an astonishing way of learning the cyber world that will surely help us reach our wonderful dreams as we contribute to the achievement of the goals of Educational Sustainable Development (ESD).

The Isles of My Portfolio in Educ 213

Chapter 1 Introduction to Statistics
Chapter 2 Variables : The Subject Matter for Statistics & Research
Chapter 3 Measures of Central Location
Chapter 4 Measures of Variation
Chapter 5 Simple Correlation
Chapter 6 Simple Regression
Chapter 7 The Normal Probability Distribution
Chapter 8 Statistical Estimation & Sampling Theory
Chapter 9 Statistical Inference

Chapter10 Z-Test of One Sample Means

Chapter11 T-Test of Significance

Chapter12 ANOVA

Chapter13 The Chi-Square Test

Chapter14 Computer Statitical Applications using MS Excel

II. STUDENTS' OUTPUTS of E-PORTFOLIO

1. Powerpoint Presentations
2. Hand-outs of Report 
3. Sets of Activity
4. Resources and Links
5. Showcasing of Blogs

III. objectives: 

a. To inform viewers about education for sustainable development with the help of statistics.
b. To give viewers an overview about e-portfolio or cyber portfolio.
c. To inspire other mentors to use multimedia and ICT in presenting their lessons.
d. To develop graduate school students ICT skills with the help of blogging.


IV. MY REFLECTIONS (from Dr. Ava Robles and
the reporters)

Module 1     Introduction to Educational Statistics

            

Module 2     Variables: Subject Matter of Statistics and Research

Module 3     Integration of innovation in Statistics

Module 4     Measure of Central Location

          

Module 5     Measures of Variation

           

Module 6     Measures of Correlation

Module 7     The Normal Probability Distribution

Module 8     Sampling Theories and Hypothesis Testing

Module 9     The T-Test, Z-Test, and Chi-Square Test

            

Module 10   Analysis of Variance       

         

Module 11   Linear and Multiple Regression Analysis

       

Module 12   Computer Statistical Applications