Introduction

E-Portfolio is a collection of electronic evidence assembled and managed by a user and it is very valuable to us, students of masteral.
     It include inputted text, output or reports, images, powerpoint and it can be used for multiple purposes.
    Students in Masteral will be using this innovative menu to increased activity in the creation of E-portfolio for a variety of activity in EDUC 216( Statistics as Applied in Education).


II. Table of Contents of My E-Portfolio
     
         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 Factorial ANOVA

       Chapter14 The Chi-Square Test

       Chapter15 Computer Statistical Applications using MS Excel

III. E-Portfolio Research Sample

        1. Powerpoint Presentations
       2. Video for Demo Teaching
       3. Resources / Links
       4. Multimedia
       5. Games


 IV.  A. Higher Order Thinking Skills (HOTS)      B. Multiple Intelligences (MI)

        1. Innertoob                                                     1.Grazr

        2. Classblogmeister                                         2. Widget Finding

        3.  Twitter                                                        3. Animoto

        4. Classtool.net                                                4. LibriVox

        5. Wikis                                                             5. Evoca

        6. Flickr                                                            6. Elluminate

        7. Meebo Me                                                    7. Forums


V. Related Statistical Videos 

1. Correlation: PASW (SPSS) Statistics v.17 video

2. Normal Probability

3. Standard Error in Linear Regression

4. ANOVA in EXCEL

5. Calculating Z-Scores

VI. Achievements in this Subject
1. My presentation
2. Output (handout)

Data Analysis and Interpretation

The Last reporter was Renante Cerna.His topic focus the over all interpretation of data.He presented lots of examples and data to be analyzed and interpreted.
He felt nervous at first but as he go on to his report he started to become energetic and very enthusiastic in explaining the lesson.I congratulate him that he delivered his lesson in a very good way and keep it up sir!

Data Analysis and Interpretation   

One Way Analysis of Variance

Just like me, Sheila Ancino is not good also in making powerpoint, but in amazement she made it very well.She discussed about ANOVA-Analysis of Variance, its characteristics, advantages, and the process of Solving One-Factor Anova. This topic is a little bit hard to explain but sheila managed to deliver it and explain it well to her classmates.

ANOVA

Estimation of Population Means

Lesson No. 9:

The next presenter was  Marites B. Agustin, her report is about  on the Estimation of Population Means ,its confidence Level and Interval ,and hypothesis testing. On this lesson, she taught us how to make hypothesis and test it with the given confidence interval and levels. Her lesson is more on describing and understanding about the statistical Inference, but it helps us to understand better as we go along to our lesson in Statistics. I appreciated Ma’am Marites for doing her presentation in a brief and clearer way that we able to relate ourselves in the lesson.

Statistical Estimation and Sampling Theory

Lesson No. 8:

Marmaee C. Pilapilwas the fifth presenter. Her  Lesson  focus  on Statistical Estimation and Sampling Theory.  This lesson are useful  especially in starting our research study. She presented her topic very well, her presentation is very nice and deliberate the lesson with all her knowledge. And I think her lesson has a big part in our research study soon by getting the right procedure or sampling theory for our research. She made her lesson in a simple way but easy to understand though her topic involved much description of samples, population and sampling theory with their example data.

Statistical Estimation and Sampling Theory

Normal Probability Distribution

Lesson 7.  I was assigned also to report and my topic was the Normal Probability Distribution.

                With the help of PowerPoint, I showed to my classmate the examples of Normal Distribution, its characteristics, the areas under normal distribution and the application of the normal curve.

                I included also the Divergence from normality includes the Kurtosis and Skewness

Normal Probability Distribution

Simple Linear Regression

Lesson 6. In statistics, we have different ways on how to solve the problem. Just like to our third reporter, Mrs. Rosemarie F. Delos Reyes, she used two types of teaching method: the traditional and the modern teaching method. Fortunately, she really captured our attention by doing the activities manually and because of that we really understand her lesson. Even though she is not really good in computer using the PowerPoint but the effort was there and she discussed the Simple Linear Regression successfully.

                We learned also from this topic on how to construct Scatter Diagram, to solve the linear regression equation and determining the standard error of estimate.

                She showed to us the formula of getting the Linear Regression through manually, the distance of the Y from Y the corresponding ordinate of the regression line. This can be well understood by the standard error of estimation formula given.

Simple Regression