Using data from a sample, inferences can be made about a population if the sample is selected using probability sampling methods. Probability sampling involves giving every member of the population an equal chance of being selected. It includes random, systematic, stratified, and cluster sampling. Non-probability sampling methods do not use random selection and include convenience, snowball, quota, and judgmental sampling. The results from a probability sample can be generalized to the overall population.
Explains the different methods of Sampling with diagram. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. Statisticians attempt for the samples to represent the population in question.
simplest way of explanation from a smart study.Sample techniques used in sampling. there are two types of techniques used in the process of sampling such as probability sampling and non probability sampling and here i have explained only Non- probability sampling.
Probability Sampling Method- Concept - Types Sundar B N
ย
This ppt contains Probability Sampling Method- Concept - Types which also covers Types of Sampling
Simple Random Sampling
Systematic Sampling
Stratified Random Sampling
Cluster Sampling
Reasons for Sampling
and advantages and disadvantages of each methods
Non- Probability Sampling & Its MethodsArpit Surana
ย
A detailed explanation of non-probability sampling and its methods have been covered. There are 4 types of non- probability sampling methods:
1. convenience sampling
2. purposive sampling
3. quota sampling (both controlled and uncontrolled)
4. snowball sampling (all 3 ways of performing)
Meaning with adequate examples, pros and cons have been covered
For and query or further information, Kindly contact:
Arpit Surana
https://www.linkedin.com/in/arpitsurana116/
arpitsurana116116@gmail.com
Probability Sampling and Types by Selbin Babuselbinbabu1
ย
The presentation will cover probability sampling and all the types of probability sampling like Random sampling , systematic random sampling, strtified random sampling, cluster random sampling and multi stage sampling.
concept , meaning, merits and demerits as well as methods along with their meaning,characteristics and its merits and demerits of sampling. difference between probability sampling and non-probability sampling i tabular form along with diagrammatic chart
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.
Explains the different methods of Sampling with diagram. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. Statisticians attempt for the samples to represent the population in question.
simplest way of explanation from a smart study.Sample techniques used in sampling. there are two types of techniques used in the process of sampling such as probability sampling and non probability sampling and here i have explained only Non- probability sampling.
Probability Sampling Method- Concept - Types Sundar B N
ย
This ppt contains Probability Sampling Method- Concept - Types which also covers Types of Sampling
Simple Random Sampling
Systematic Sampling
Stratified Random Sampling
Cluster Sampling
Reasons for Sampling
and advantages and disadvantages of each methods
Non- Probability Sampling & Its MethodsArpit Surana
ย
A detailed explanation of non-probability sampling and its methods have been covered. There are 4 types of non- probability sampling methods:
1. convenience sampling
2. purposive sampling
3. quota sampling (both controlled and uncontrolled)
4. snowball sampling (all 3 ways of performing)
Meaning with adequate examples, pros and cons have been covered
For and query or further information, Kindly contact:
Arpit Surana
https://www.linkedin.com/in/arpitsurana116/
arpitsurana116116@gmail.com
Probability Sampling and Types by Selbin Babuselbinbabu1
ย
The presentation will cover probability sampling and all the types of probability sampling like Random sampling , systematic random sampling, strtified random sampling, cluster random sampling and multi stage sampling.
concept , meaning, merits and demerits as well as methods along with their meaning,characteristics and its merits and demerits of sampling. difference between probability sampling and non-probability sampling i tabular form along with diagrammatic chart
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.
This slide will guide other researchers that wants to collect data using Interview method. It teaches how to analyse the data as well. This was a presentation that was carried out in our research method class by our group.
What is Population ?
What is Sample ?
Sampling Techniques
What is Probability sampling ?
What is Non-probability sampling ?
Advantages & Disadvantages sampling
Difference b/w Probability &Non-Probability
Characteristics of sampling
definition of survey
survey and its type
its purpose and uses.
sampling
approaches
survey methods
research designs
probability and non probability
population
cross sectional design
longitudinal design
successive independent sampling design
Problems identification and solutions for Fruita Vitals Juice of Nestlรฉ (oran...Faizan Anjum
ย
Acknowledgement 1
1 Summary 3
2 Introduction 4
2.1 About Company 4
2.2 Vision and Mission Statement 4
2.3 Milestones of Nestlรฉ Pakistan 5
2.4 Nestle factories in Pakistan 5
2.5 Fruita Vitals Juices 5
2.6 Benefits described by company: 6
3 Problem Statement 7
3.1 Research Methodology about Problem 7
4 Fish-Bone Analysis 8
5 Nestle Fruita Vital Juices Production System 9
5.1 Actual Process Analysis 9
5.2 Production Process in Use of Fruita Vital Juices 10
6 Identify problem & prioritized problem 11
6.1 Interviews 11
6.1.1 Interview #1 with manager of product development of Nestle Juices 11
6.1.2 Results of Interview 11
6.1.3 Interview # 2 with the HRM 13
6.1.4 Findings of Interview 13
6.2 Results 13
7 Process Addition as Solution in Nestle Fruita Vital Juices Production Flow Chart 14
8 Solutions 15
9 Conclusions 16
Problems identification and solutions for Fruita Vitals Juice of Nestlรฉ (oran...Faizan Anjum
ย
Introduction
Problem Statement
Research Methodology
Interviews & Fish-Bone Analysis
Production Process
Problems Identified & Prioritized Problem
Solution
Conclusion
Analysis of Productivity & Improvement at McDonald Fortress BranchFaizan Anjum
ย
Rational of Project
Company Profile
Identification of System
MFY System in Pakistan
Working System
Productivity increasing factor
equipment used
Preparing the food
Productivity gain in Time
Equipments zone
Direct Grill System
Stations for DGS
Equipment
Layouts
DGS
MFY
Layout Comparison
Calculation
Finding
Conclusion
The Change Agent Program at Siemens NixdorfFaizan Anjum
ย
Background of Company
SNI facing crises-losses Hannover-I
Andreas Meyer Knonow
Background
Hannover-I and the Change management Decision
Project: Targeting The American Market
Return to Munich
Future Challenges
Ulrike von Manteuffel
Background
SNI Change Agent Program
Return to SNI
Steps Ahead
Operational Effectiveness Is Not Strategy
Operational Efficiency
Competitive Strategy
Strategy Rests on Unique Activities
Origin of Strategic Position (3 Sources)
Variety /Need /Access-Based Positioning
A Sustainable Strategic Position Requires Trade-offs
Fit Drives Both Competitive Advantage and Sustainability
Rediscovering Strategy
External Challenges to Strategy
Traps for Shaping Strategy
Explore our most comprehensive guide on lookback analysis at SafePaaS, covering access governance and how it can transform modern ERP audits. Browse now!
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A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
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Memorandum Of Association Constitution of Company.pptseri bangash
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www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
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Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
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2. Using data to say something make an inference with
confidence, about a whole population based on the study of a
only a few sample.
A sample is a subset of all the members of a โpopulationโ or
โuniverseโ.
3. Population: Subjects of interest
Sample: Subset for whom we have data
Statistical techniques to make conclusions
5. Results may be generalized.
Scientific ,operationally conventient and simple
in theory .
Every element in the target population has equal
probability of being chosen in the sample form
population for the survey being conducted .
7. Ever individual or item from frame has an equal
chance of being selected
Selection may be with replacement or without
replacement
Samples obtained from table of random numbers
or computer random number generators (prize
bond number)
10. 1. Dividing the population into groups, strata
2. Combining samples from each group for
total sample
11.
12. Population divided into several clusters
It is used during evident of natural grouping
All items in selected clusters can be used
13. Every element in the universe or sampling frame
not have equal probability of being choosen in
the sample form
Non-probability sampling does not involve
random selection.
15. selecting a participant or group of participants
based on their availability to the researcher
Examples
Students enrolled in the researcherโs classes
Fourth-grade students in two local, parochial schools to which the
researcher has access
16. samples that require a or an โeducated guessโ on the part
of the interviewer as to who should represent the
population. Also, โjudgesโ (informed individuals) may be
asked to suggest who should be in the sample.
17. 2.3-Quota Sampling
In this case respondents are selected
according to some fixed quota relating to
gender, race, religion etc. e.g. 45% women
and 55% men.
Used when the researcher cannot use probability
sampling procedures but does want a sample that
is somewhat representative of the population
Similar to stratified sampling
18. 2.4-Snowball Sampling
A respondent is found that meets the
sampling criteria, they are asked for more
likely candidates, who are asked for more
likely candidates and so on.