Here are the steps to solve this problem using stratified random sampling:
1. Divide the population into strata based on the barangays.
2. Calculate the sample size for each stratum proportionately based on the total sample size (1000 residents) and population size of each stratum.
3. Randomly select the calculated sample size from each stratum.
Barangay Population Proportion of sample Sample size
Mapayapa 2,000 0.2 200
Malinis 1,000 0.1 100
Mahangin 1,500 0.15 150
Mabunga 2,500 0.25 250
Ang presentasyong ito ay tumatalakay sa mga makrong Kasanayan ng wika, partikular na ang pagsulat at pagbasa. Tinatampok dito ang kahulugan, gamit at kahalagahan ng paggamit nito sa komunikasyon.
Ang presentasyong ito ay tumatalakay sa mga makrong Kasanayan ng wika, partikular na ang pagsulat at pagbasa. Tinatampok dito ang kahulugan, gamit at kahalagahan ng paggamit nito sa komunikasyon.
MGA SANGKAP/ ELEMENTO AT PROSESO NG KOMUNIKASYONJela La
TAGAHATID
-ang tagahatid ng mensahe ang pinagmumulan ng mensahe o ang nagpapadala ng mensahe (impormasyon)
-siya din ang nagpapasya kung ano ang layunin niya sa pakikipag-usap
-siya angbumubuo ng mensahe kaya tinatawag din na "enkoder"
-kung ikaw ang tagahatid o ang pinagmumulan ng mensahe dapat lang ay ma "aware" ka kung sino ang kausap at kung ano ang inyong pinag-uusapan upang kayong dalawa ay magkaintindihan
MENSAHE
-ito ang ipinapadala na impormasyon ng tagahatid sa tagatanggap
-maaring masaya, malungkot, impormatibo at iba pa na gustong ipahatid ng tagahatid sa tagatanggap
-ikinokonsidera dito ang katayuan ng isang tao
TSANEL
-ang daluyan ng mensahe
-ikinokonsidera dito kung anong paraan ang gagamitin upang maihatid ang mensahe
-maaring verbal o di-verbal
TAGATANGGAP
-ang pinadadalhan ng mensahe
-ang nag-iinterpret o ang nagbibigay kahulugan sa mga mensahe kaya tinatawag na "dekoder"
GANTING MENSAHE "FEEDBACK"
-proseso ng pagbabalikan ng mensahe, ang patuloy na paghahatid ng mensahe sa bawat panig ng kasangkop sa komunikasyon
MGA HADLANG "BARRIERS"
1. tagahatid -maaring kinakain ang salita
2. mensahe- kulang ang impormasyon na ipinadala
3. tsanel- example. (kung cellphone ang gamit tapos di nakapag-reply dahil wala ng load. maaring maputol ang komunikason dahil hindi na nakareply ang isa)
4. katayuan ng isang tao- mahalaga na malaman mo ang katayuan ng sang tao upangmalaman mo kung ano ang iyong midyum na gagamitin sa pakikipag-usap
5. lugar- example (maaring sa palengke ay napaka-ingay at ang kaibigan mo ay may sinasabi sa iyo ngunit hindi mo ito narinig kaya wala kang nasagot sa kanya. maaring dahil dito ay hindi makapagpatuloy ang inyong pag-uusap)
6. edad- mahalaga na malaman upang maiangkop ang wikang gagamitin
SITWASYON NG KONTEKSTO
-ang pinakamahala na elemto dahil naapektuhan nito ang iba pang mga elemento kasama na ang buong proseso ng komunikasyon
-kinokonsider dito ang lugar na ginaganapan
SISTEMA
-nangangahulugann sa relasyon o ugnayan na nalikha sa pamamagitan ng proseso ng komunikasyon
-ito ang nagsasabi kung success ba ang o hindi ang inyong pag-uusap.
This is the first chapter of the course Readings in Philippine History as per the course guide from Commission on Higher Education.
Course sub-topics:
1. Meaning and Relevance of History
2. Distinction of Primary and Secondary source; External and Internal Criticism
This was a presentation that was carried out in our research method class by our group. It will be useful for PHD and master students quantitative and qualitative method. It consist sample definition, purpose of sampling, stages in the selection of a sample, types of sampling in quantitative researches, types of sampling in qualitative researches, and ethical Considerations in Data Collection.
MGA SANGKAP/ ELEMENTO AT PROSESO NG KOMUNIKASYONJela La
TAGAHATID
-ang tagahatid ng mensahe ang pinagmumulan ng mensahe o ang nagpapadala ng mensahe (impormasyon)
-siya din ang nagpapasya kung ano ang layunin niya sa pakikipag-usap
-siya angbumubuo ng mensahe kaya tinatawag din na "enkoder"
-kung ikaw ang tagahatid o ang pinagmumulan ng mensahe dapat lang ay ma "aware" ka kung sino ang kausap at kung ano ang inyong pinag-uusapan upang kayong dalawa ay magkaintindihan
MENSAHE
-ito ang ipinapadala na impormasyon ng tagahatid sa tagatanggap
-maaring masaya, malungkot, impormatibo at iba pa na gustong ipahatid ng tagahatid sa tagatanggap
-ikinokonsidera dito ang katayuan ng isang tao
TSANEL
-ang daluyan ng mensahe
-ikinokonsidera dito kung anong paraan ang gagamitin upang maihatid ang mensahe
-maaring verbal o di-verbal
TAGATANGGAP
-ang pinadadalhan ng mensahe
-ang nag-iinterpret o ang nagbibigay kahulugan sa mga mensahe kaya tinatawag na "dekoder"
GANTING MENSAHE "FEEDBACK"
-proseso ng pagbabalikan ng mensahe, ang patuloy na paghahatid ng mensahe sa bawat panig ng kasangkop sa komunikasyon
MGA HADLANG "BARRIERS"
1. tagahatid -maaring kinakain ang salita
2. mensahe- kulang ang impormasyon na ipinadala
3. tsanel- example. (kung cellphone ang gamit tapos di nakapag-reply dahil wala ng load. maaring maputol ang komunikason dahil hindi na nakareply ang isa)
4. katayuan ng isang tao- mahalaga na malaman mo ang katayuan ng sang tao upangmalaman mo kung ano ang iyong midyum na gagamitin sa pakikipag-usap
5. lugar- example (maaring sa palengke ay napaka-ingay at ang kaibigan mo ay may sinasabi sa iyo ngunit hindi mo ito narinig kaya wala kang nasagot sa kanya. maaring dahil dito ay hindi makapagpatuloy ang inyong pag-uusap)
6. edad- mahalaga na malaman upang maiangkop ang wikang gagamitin
SITWASYON NG KONTEKSTO
-ang pinakamahala na elemto dahil naapektuhan nito ang iba pang mga elemento kasama na ang buong proseso ng komunikasyon
-kinokonsider dito ang lugar na ginaganapan
SISTEMA
-nangangahulugann sa relasyon o ugnayan na nalikha sa pamamagitan ng proseso ng komunikasyon
-ito ang nagsasabi kung success ba ang o hindi ang inyong pag-uusap.
This is the first chapter of the course Readings in Philippine History as per the course guide from Commission on Higher Education.
Course sub-topics:
1. Meaning and Relevance of History
2. Distinction of Primary and Secondary source; External and Internal Criticism
This was a presentation that was carried out in our research method class by our group. It will be useful for PHD and master students quantitative and qualitative method. It consist sample definition, purpose of sampling, stages in the selection of a sample, types of sampling in quantitative researches, types of sampling in qualitative researches, and ethical Considerations in Data Collection.
In the Pharmaceutical, We can get accurate result of the whole population or Whole Batch only and only if Our Sampling Method is perfect and Accurate.
Sampling is also one of the IMP technique for the Statistical calculations.
This Presentation Will lead you towards a deep and neat study of the research sample and survey. It will be based on the main concepts of sampling types of sampling, types of surveys.
Types of Sampling : Probability and Non-probability
Probability sampling methods:
Simple random sampling
Cluster sampling
Systematic Sampling
Stratified Random sampling
2. Non-Probability:
Convenience sampling
Consecutive sampling
Quota sampling
Judgmental or Purposive sampling
Snowball sampling.
SAMPLING METHODS ( PROBABILITY SAMPLING).pptxPoojaSen20
SAMPLING
SAMPLING IS THE PROCESS OF SELECTING A SMALL NUMBER OF ELEMNTS FROM A LARGER DEFINED TARGET GROUP OF ELEMNTS SUCH THAT THE INFORMATION GATHERDED FROM THE SMALL GROUP WILL ALLOW JUDEN=MENT TO BE MADE ABOUT THE LARGER GROUPS.
IN SIMPLE WORDS A PROCEDURE BY WHICH SOME MEMBERS OF A GIVEN POPULATION ARE SELECTED AS REPRESENTATION OF THE ENTIRE POPULATION .
PURPOSE OF SAMPLING
To gather data about the population in order to make an inference that can be generalized to the populations. .
PROBABILITY SAMPLING
Probability sampling is a type of sampling where each member of the population has a known probability of being selected in the sample .
In probability sampling some elements of randomness is involved in selection of units ,so that personal judgement or bias is not there.
NON- PROBABILITY SAMPLING
Non- Probability sampling is a type of sampling where each member of the population does not have known probability of being selected in the sample.
In this each member of the population does not get equal chance of being selected in the sample.
This sampling methods is adopted when each member of the population can not be selected or the researcher deliberately wants to choose member selectively
The process of obtaining information from a subset (sample) of
a larger group (population)
The results for the sample are then used to make estimates of
the larger group
Faster and cheaper than asking the entire population
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Epistemic Interaction - tuning interfaces to provide information for AI support
Sampling techniquesmod5
1. Sampling Techniques
Module 5
Santa Rosa Science And Technology High
School
Basic Statistics
Ms. Ma. Cristina C. Pegollo
2. Sample Problem
Suppose Ms. Bambasi wants to
determine the weekly food
expenditure of students, if there are
1000 students and the guidance
counselor decided to use only 100
students as a sample, who will be
included in the sample?
4. Sampling Techniques
Probability Non-Probability
Sampling Sampling
Convenience
Random Sampling Sampling
Systematic Quota Sampling
Sampling
Stratified Random Purposive
Sampling Sampling
Cluster Sampling
Multi-Stage
Sampling
5. PROBABILITY Sampling
each eligible member of the population
has a specific and known chance of
being included in the sample.
When using this technique, it is important
to have a complete list of the members
of the population
6. NON-PROBABILITY Sampling
Members of the sample size are drawn
based on the judgment of the
researcher.
Sometimes, referred to as subjective
sampling.
7. Probability Sampling
1. Simple Random Sampling
Lottery Method - write the names or codes on a
piece of paper, put them in a
container, then randomly
select the desired number of
samples. Sometimes referred to as the
fishbowl technique.
8. Probability Sampling
1. Simple Random Sampling
Random Numbers – a table of random numbers,
computer or calculator can be used to generate
random numbers. This is perhaps a more
convenient way of selecting your random sample.
The randomly produced digits can be used to pick
your samples. However, a complete listing of the
members of the population is needed.
9. Probability Sampling
2. Systematic Sampling – choose a
starting point then select every
kth element of the population
using
10. Example
Choose a sample of size 5 from N = 45, using
systematic random sampling.
Solution:
Step 1: Determine k; , this means that
you have to include every 9th member of the
population after choosing a random start.
Step 2: You can employ the lottery method to get a
random start. Suppose you picked 4.
Step 3: Getting 5 members you will have: 4, 13,
22, 31, and 40
11. Probability Sampling
3. Stratified Random Sampling – the
population is subdivided into at
least two different subpopulations
(or strata) that share the same
characteristics (such as gender),
then draw a sample from each
stratum.
12. Example
Brgy. Market Area consists of 10,000 families
belonging to different income brackets. A survey
to find out how many are in favor of the RH bill
will be conducted. To ensure that all income
groups are represented, respondents will be
divided into High-Income, Average-Income, and
Low-Income. Below is the distribution of income
groups. Strata Number of Families
High – Income 2 000
Average – Income 5 000
Low-Income 3 000
N = 10 000
13. Cont…
1. Using a 5% margin of error, how many families
should be included in the sample? Using
Slovin’s Formula, you should get 385.
2. Using either proportional or equal allocation ,
how many from each group should be taken as
samples? See the table below
Strata Number Percent Proportional Equal
of
Families
High-Income 2 000 0.2(385) = 77 385/3 = 128
Average- 5 000 0.5(385) = 129
Income 193
Low- Income 3 000 0.3(385) = 128
115
10 000 100% 385 385
14. Probability Sampling
4.Cluster Sampling – divide the
population area into sections (or
clusters), then randomly select a few
of those sections, and then you
randomly select a sample from those
selected sections.
15. Example
Suppose we want to determine the
average daily expenses of families living
in the City of Santa Rosa. Assume that
there are 15 barangays. We can draw a
random sample of 5 barangays using
random sampling and then get a certain
number of families from each of the 5
barangays.
18. Non-Probability Sampling
2. Quota Sampling - the researcher first
identifies the stratums and their proportions as
they are represented in the population. Then
convenience or judgment sampling is used to
select the required number of subjects from
each stratum.
Selected
through
researcher’s
convenience or
judgment.
19. Non-Probability Sampling
3. Purposive Sampling – selects members or
elements based on the particular purpose of the
experiment or study. This technique is useful for
situations where you need to reach a targeted
sample quickly and where sampling for
proportionality is not the primary concern.
20. Sample Problem
Suppose Ms. Bambasi wants to
determine the weekly food expenditure
of students, if there are 1000 students
and the guidance counselor decided to
use only 100 students as a sample, who
will be included in the sample?
Activity. With your partner, help Ms.
Bambasi decide on which sampling
technique she should use in selecting
students for her sample. Present her
three choices. (Bond Paper)
21. Exercises:
Identify which sampling technique was used in the
following scenarios.
1. When she wrote Women and Emoticons, author
KC Pascual based conclusions on 4500
responses from 100,000 questionnaires
distributed to women.
2. The Guidance Counselor at Santa Rosa High
School surveys all students from each of 20
randomly selected classes.
3. A sociologist at the College of StaRSci selects
15 men and 15 women from each of 4 Math
Classes.
22. Cont…
4. IBM selects every 200th compact disk from the
assembly line ad conducts a thorough test of
quality.
5. The court secretary writes the name of each
Municipal Judge on a separate card, shuffles
the cards , and then draws 3 names.
6. The marketing manager of Ebay.ph tests a new
sales strategy by randomly selecting 150
consumers with less than P100 000 in gross
income and 150 consumers with gross income
of at least P100 000.
7. Pro-RH bill lobbyists polls 300 men and 300
women about their views concerning the use of
contraceptives.
23. Cont.
8. A market researcher for Champion Detergent
interviews all passengers on each of 10
randomly selected PUVs.
9. A medical researcher from Multiliver Phils.
interviews all leukemia patients in each of 20
randomly selected hospitals.
10. In conducting research for the evening news, a
reported for ABC-CBN interviews 15 people as
they leave SM Santa Rosa.
24. B. Solve the following
1. A researcher would like to investigate the
perception of students of Mathematics. He
divided the population into sub-populations as
shown below. Use stratified random sampling if
the sample to be drawn consists of 500
students.
Strata Number of
Students
First Year 1600
Second Year 1500
Third Year 1400
Fourth Year 1000
25. 2. A journalist would like to know the most favorite
noontime show for this month. He decided to
conduct a survey on 5 barangays. The table
below shows the list of barangay and the
number of residents in each barangay. Use
stratified random sampling to draw 1 000
residents who will be included in the survey.
Barangay Number of Residents
Mapayapa 2 000
Malinis 1 000
Mahangin 1 500
Mabunga 2 500
Masaya 1 500