3-Day PAPSI Webinar Series: Statistics in Action | July 16, 23 & 30 | Register Now!

PAPSI is inviting our teachers to our 3-Day PAPSI Webinar Series: Statistics in Action on July 16, 23, & 30, 2022.

#SalamatPAPSI #Teachnology #VirtualEducators

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Resource Speaker:

Dr. Russel T. Soltura

Master Teacher II

Quezon Science High School

DepEd- Quezon Province

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Note: This is an exclusive Zoom meeting.

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Registration Link:

https://forms.gle/94AiCS8oC3B8XdFr6

Php 1400 for a new member (membership fee of P500 is included here)

Php 900 for an active member (registration fee is P300 * 3 days = P900)

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Need a personalized invitation letter?

Register now and we'll send it to your email address.

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What you will get:

* Three Certificates of Participation

* One Certificate of Completion

* Acknowledgement Receipt

* Copy of Module

* Copy of Webinar Recording

* Zoom link

plus, for those new members or those who renewed their membership, they will also receive the following:

* Certificate of Membership

* PAPSI ID

* Invoice

Day 1

Session:

• Apply the four (4) methods in 

evaluating the reliability of research instruments (test-retest, parallel form, split-half, internal consistency methods).

• Interpret the reliability results using the following statistical treatments: 

Spearman rho, Pearson r, 

Spearman-Brown Formula, 

Kuder-Ricardson Formula 20 and 

Cronbach’s alpha).

Output:

Evaluation on the Reliability Test Results (MS Excel).

Day 2

Session:

• Evaluate the normality of data through skewness and kurtosis as the statistical treatments.

• Classify inferential statistical treatments based from the results normality of data.

• Apply hypothesis testing through 

parametric tests of difference and 

relationship (z-test, t-test independent and dependent samples, ANOVA, 

Pearson r).

Output:

• Evaluation of the hypotheses through statistical analysis (MS Excel).

• Written output on the analysis, 

interpretation and conclusions for the results of the study.

Day 3

Session:

• Evaluate the normality of data through skewness and kurtosis as the statistical treatments.

• Apply hypothesis testing through 

nonparametric tests of difference 

(Wilcoxon-Matched Paired Signed Rank Test, Mann-Whitney U Test, Kruskal-Wallis H Test, Chi-Square Test).

Output:

• Computations and data analysis on the nonparametric tests of difference.

• Written output on the analysis, 

interpretation and conclusions for the results of the study.