Educ.216 E-Portfolio of Dalut: May 2011

FOREWORD

This E-Portfolio is created mainly to follow, assess and evaluate the professional progress and development in Educ 216/SE 201 (Advanced Educational Statistics) subject and the development of ICT as incorporated in the subject.

This site offers greatly emphasis on the collection of data or artifacts as documented to show support on the learnings acquired. Furthermore, it also provides published documents on the reaction and/or reflection made out of the learning experiences observed inside the class.

EDUC. 216/ SE 201 (Advanced Educational Statistics) subject covers the following learning content:

I. 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

II. E-Portfolio Researched Samples

1. My Class Report PowerPoint Presentation
2. Video for Demo Teaching
3. Multimedia
4. Games

III. References/ Resources / Links

Sample Demo Teaching in Mathematics for ICT Central Office Manila Philippines Teacher:Nathalene Sioson
Topic: Addition of Monomials
School : Marcial O. Rañola Memorial School
Guinobatan, Albay Philippines

Lesson No. 3: Focus on Measures of Central Location

Presenter: Richard A. Agapay
Date of Presentation: April 25,2011

On this Lesson, the topics involve the following: Mean; Median; Mode; Weighted Mean; Grand Mean and Point Measures or Measures of central Tendency for nominal and Ordinal Data and Percentile as a Measure of Location (group and ungrounded). The reporter presented the topic very well. He conveys and directs us to the gist of his topic.

Although this topic, jog-out our memory the basic or the introduction of Statistics or Elementary Statistics in college. Only with the additional skills being offered this is the integration of computer in solving the data given. Though, in school where we assigned to teach, we already incorporate computer in solving grades and other data that needs computation through the use of Microsoft excel but only in limited basis.

Now, it became much more interesting, especially when it is presented in power point presentation or with the use of multimedia. This is what our professor is telling us. Dr Ava Clare Marie O. Robles ,our Educ 216 instructor, she has so many things for us to discover especially using the multimedia in taking her class. The conventional way may give us erroneous and vigorous way of preparation. And with this, I AGREE with her. Going back to the reporter, the lesson’s he presented made a great deal on the next reporters for he manages to create a good sample power point presentation. You are very good sir! I salute you for that. Keep it up.

Lesson No. 4: Focus on Measures of Variation

Presenter: Melvin B. Calixton
Date of Presentation: April 26, 2011

The Range; Average Deviation;Quartile Deviation; The Standard Deviation; The Variance; Coefficient of Variation; and Measures of Variation and Research are the topics for this whole presentation. I would just like to commend sir Melvin for the exciting presentation he prepared for us. Others may have a hard time to follow the transition of the slide but on the contrary to my observation where I find it more interesting especially if you want to get your audience response and attention.

The topics with its crucial and delicate data and computation, made become easier with the use of the multimedia and the Microsoft excel. However, we must not forget that we need to develop first better understanding using the ICT. Though, for the younger ones, who were knowledgeable to computer due to early exposure during high school or college days, this become much easier for them to integrate computer to statistics.

Now, focusing on the lesson alone, thinking what if we do not use ICT for presentation of our report. Can we finish the whole report in due time? (so that all reporters can present before the end of summer). I think-no. Because, of sir Melvin presentation, the whole scope of his topic where done in just two-hour class. Amazing!

Lesson No. 6: Focus on Simple Regression

Presenter: Rosemarie F. Delos Reyes
Date of Presentation: May 2, 2011

Simple Linear Regression

I think the connotation that tells us “Old dogs cannot get new tricks” is false to somebody who is persistent and determined to learn. And that somebody includes Ma’am Rosemarie, our third presenter. She modestly confessed that she has little knowledge especially in integrating ICT in the presentation of her report. But, I salute her presentation. She did it very well as if not a first timer in using ICT in presenting her lesson.

And for the benefit of some audience, she has two- way in presenting her lesson: the conventional and the power point presentation. She let the audience first do some activity on the board (computing and plotting), then proceeded on her slide after. I think she manage to address the needs of her audience in understanding her lesson. Though, it took a little longer (that’s given If you are using conventional way) to proceed on the next topic, but the purpose is exhibit excellently. Excellent job Ma’am!

Lesson No 7: Focus on The Normal Probability

Presenter: Clarence Baron
Date of Presentation: May 2, 2011

Clarence has a nice idea in presenting the lesson. She has a unique way in getting to the gist of her topic. Her topics involve much drawing or graph to show the characteristics of the Normal Curve. Better she has the ability to incorporate ICT in her presentation. That leads her descriptions on the characteristics of the Normal Curve become much clearer.

Understanding of the The Normal Probabilty Distribution during college days, are much difficult. Thinking the normal curve to be drawn on a piece of cardboard for reference, that’s very complicated and low tech! Now, with the advancement of technology in just one click, we can have it. A million thanks to the inventor and developer!

Lesson No. 8: Focus on Statistical Estimation and Sampling Theory

Presenter: Marmaee C. Pilapil
Date of Presentation: May 5, 2011

Statistical Estimation and Sampling Theory are necessary especially in starting your research study.

Ma’am Marmaee , the fifth presenter , has a good way in conveying the lessons to the audience.

Well, in fact, her presentation is unique from the others. Though, her topics involve much on the description of samples, population and sampling theory with their example data. I appreciate her uniqueness to make it much interesting with the transition of each slide.

Little by little we tend to forget the essence of the research sample, but with the interaction and discussion inside the class it became much clearer to us to get the right procedure or sampling theory in getting our samples for our research. With this, we can have a good start in our research. Thank you, Ma’am for making everything clear.

Lesson No. 9: Focus on Statistical Inference

Presenter: Marites B. Agustin
Date of Presentation: May 6, 2011

The focus of this report is on the Estimation of Population Means: its confidence Interval, confidence level and hypothesis testing. On this lesson, we were taught how to make hypothesis and test it with the given confidence interval and levels.

Although, in this lesson it is more on describing and understanding about the statistical Inference, however it is very helpful to us to understand better the subsequent lessons. Thank you Ma’am for giving a good start!

Lesson No. 10: Focus on Z-Test of One Sample Means

Lesson No. 11: Focus on T-test of Significance

Presenter: Mary B. Laride

Date of Presentation: May 9, 2011

On this presentation, the reporter discussed to us the following:

Illustration of z-test
Steps in using z-test
The t-Distribution (Independent or Uncorrelated Means; Dependent or Correlated Means)
The Application of t-test

The above topics are bit confusing ( at first) on how or when to use it. Besides , that is the essence of knowing it all. How then it will be used in educational research. However, upon knowing the conditions when to use these statistical treatment. Then, future research (using t-test or z-test) is not that difficult anymore.

Good thing the reporter delivered a good presentation of her topics. Good job Ma'am!

Lesson No. 12: Focus on the Analysis Of Variance

Presenter: Sheila B. Ancino

Date of Presentation: May 10,2011

The F-test and Understanding ANOVA its procedure either using Deviation Method or Raw Score Method are the topics of this whole presentation.

Like the other statistical treatment above, this parametric statistics is much complicated to analyze and manipulate since it requires much patience and careful treatment of data. The steps on getting the correct answer is not that easy.

However, upon the introduction of microsoft excel in solving it, then in just one click -the answer is there.

On her presentation, where the steps are taken every slides, it must also be given credits. It is also important to know how the answer was derived. Anyway, the key point here is how will you use or apply this statistical treatment in educational research. That must be answered soon.

Educ.216 E-Portfolio of Dalut

Monday, May 9, 2011