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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.

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Sampling

This document discusses research methodology and sampling techniques. It defines key terms like population, sample, census, and probability and non-probability sampling. It describes different sampling methods like simple random sampling, systematic sampling, stratified sampling, cluster sampling, and their advantages and disadvantages. Finally, it discusses issues around internet sampling and methods like using web site visitors, panels, and opt-in lists.

Non – Probability Sampling (Convenience, Purposive).

This document discusses different types of sampling methods used in social science research. It defines sampling as selecting a subset of individuals from a population to estimate characteristics of the whole population. The main types discussed are probability sampling, which gives all individuals an equal chance of selection, and non-probability sampling, which does not. Specific non-probability methods explained include convenience sampling, where samples are selected based on accessibility, and purposive sampling, where the researcher selects specific samples based on characteristics relevant to the research question.

Non-Probability sampling

Having Population and Sampling definitions, Advantages and Disadvantages of Sampling, Details of Non-Probability Sampling

Nonprobability Sampling

This document discusses non-probability sampling techniques. It defines key terms like population, sample, probability sampling, and non-probability sampling. It then describes several common non-probability sampling methods: convenience sampling, which uses readily available participants; snowball sampling, which uses referrals from initial participants to recruit more; purposive sampling, which selects participants based on predefined criteria; and quota sampling, which sets quotas for participant demographics to be filled. The document notes advantages and disadvantages of these non-probability methods.

Probability sampling

This document defines probability sampling and describes four main types: simple random sampling, stratified random sampling, systematic random sampling, and cluster random sampling. Probability sampling involves selecting samples in a way that gives every member of the population an equal and known chance of being chosen. It aims to result in a sample that accurately represents the larger population. The document provides examples of how to select samples for each of the four probability sampling techniques.

Non Probability Sampling

A clear and defined concept of Non-Probability Sampling for the researchers. But, you mental cognition can produce the more best.

Probability sampling techniques

The document discusses various probability and non-probability sampling techniques. The five main probability techniques are simple random sampling, stratified random sampling, cluster sampling, systematic sampling, and multi-stage sampling. Non-probability techniques include convenience sampling, purposive sampling, snowball sampling, and quota sampling. Probability sampling aims to give all individuals an equal, random chance of selection to obtain a representative sample, while non-probability techniques use subjective judgment which can introduce selection bias.

Probability Sampling Method- Concept - Types

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

Sampling

This document discusses research methodology and sampling techniques. It defines key terms like population, sample, census, and probability and non-probability sampling. It describes different sampling methods like simple random sampling, systematic sampling, stratified sampling, cluster sampling, and their advantages and disadvantages. Finally, it discusses issues around internet sampling and methods like using web site visitors, panels, and opt-in lists.

Non – Probability Sampling (Convenience, Purposive).

This document discusses different types of sampling methods used in social science research. It defines sampling as selecting a subset of individuals from a population to estimate characteristics of the whole population. The main types discussed are probability sampling, which gives all individuals an equal chance of selection, and non-probability sampling, which does not. Specific non-probability methods explained include convenience sampling, where samples are selected based on accessibility, and purposive sampling, where the researcher selects specific samples based on characteristics relevant to the research question.

Non-Probability sampling

Having Population and Sampling definitions, Advantages and Disadvantages of Sampling, Details of Non-Probability Sampling

Nonprobability Sampling

This document discusses non-probability sampling techniques. It defines key terms like population, sample, probability sampling, and non-probability sampling. It then describes several common non-probability sampling methods: convenience sampling, which uses readily available participants; snowball sampling, which uses referrals from initial participants to recruit more; purposive sampling, which selects participants based on predefined criteria; and quota sampling, which sets quotas for participant demographics to be filled. The document notes advantages and disadvantages of these non-probability methods.

Probability sampling

This document defines probability sampling and describes four main types: simple random sampling, stratified random sampling, systematic random sampling, and cluster random sampling. Probability sampling involves selecting samples in a way that gives every member of the population an equal and known chance of being chosen. It aims to result in a sample that accurately represents the larger population. The document provides examples of how to select samples for each of the four probability sampling techniques.

Non Probability Sampling

A clear and defined concept of Non-Probability Sampling for the researchers. But, you mental cognition can produce the more best.

Probability sampling techniques

The document discusses various probability and non-probability sampling techniques. The five main probability techniques are simple random sampling, stratified random sampling, cluster sampling, systematic sampling, and multi-stage sampling. Non-probability techniques include convenience sampling, purposive sampling, snowball sampling, and quota sampling. Probability sampling aims to give all individuals an equal, random chance of selection to obtain a representative sample, while non-probability techniques use subjective judgment which can introduce selection bias.

Probability Sampling Method- Concept - Types

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

Sampling Techniques by Jaya Singh

This document discusses various sampling techniques used in research. It defines key terms like universe, sample, and sampling frame. It describes probability sampling methods like simple random sampling, systematic sampling, stratified sampling, and cluster sampling. It also covers non-probability sampling techniques such as convenience sampling, judgmental sampling, quota sampling, and snowball sampling. The purpose of sampling is to make inferences about a larger population based on analyzing a smaller sample.

SAMPLING

This document discusses sampling methods used in research. It defines sampling as obtaining information from a subset of a larger population. The key sections cover the sampling process, types of sampling including probability and non-probability methods, sources of sampling error, and factors to consider when determining sample size such as the nature of the population, number of variables, desired accuracy level, and available finances. Probability methods like simple random and stratified sampling aim to give all population members an equal chance of selection, while non-probability techniques like convenience and snowball sampling do not. Sample size is an important factor in controlling random error.

Probability Sampling and Types by Selbin Babu

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.

Sampling

This document discusses sampling methods and their key aspects. It defines sampling as selecting a subset of individuals from a population to make inferences about the whole population. Probability sampling methods aim to give all population elements an equal chance of selection, while non-probability methods do not. Some common probability methods described include simple random sampling, systematic sampling, and stratified sampling. The document also discusses sampling frames, statistics versus parameters, confidence levels, and evaluating different sampling techniques.

Sampling

This document discusses sampling methods used in research. It defines key terms like population, sample, and sampling. There are two main types of sampling - probability sampling and non-probability sampling. Probability sampling uses random selection to ensure each member of the population has an equal chance of being selected, allowing for generalization of results. Common probability methods are simple random sampling, systematic sampling, stratified sampling, and cluster sampling. Non-probability sampling relies on personal judgment and does not allow for generalization beyond the sample. Common non-probability methods are convenience sampling, purposive sampling, snowball sampling, and quota sampling. The document outlines the process, advantages, and disadvantages of different sampling techniques.

an introduction and characteristics of sampling, types of sampling and errors

This document discusses sampling methods used in research. It defines key terms like population, sample, sampling units and strategies. The main types of sampling discussed are probability sampling which uses random selection, and non-probability sampling which does not. Specific probability methods covered include simple random sampling, systematic random sampling, stratified random sampling and cluster sampling. Non-probability methods discussed are convenience sampling, purposive sampling, quota sampling, and snowball sampling. The document also addresses sample size determination, sources of error in sampling like sampling error and non-sampling error, and concludes with advantages of sampling.

What is snowball sampling describe in detail?

It is more effective for the the researcher of snowball sampling What is snowball sampling describe in detail? snowball sampling advantage and disadvantages are discribed.
More important for the Bs English students application of snowball sampling describe

Sampling techniques

population , sample, sampling process, sampling techniques: probability sampling, non probability sampling

Sampling methods 16

This document discusses various sampling methods used in research. It begins by defining key sampling terms like population, sample, sampling unit, and sampling frame. It then describes the main types of sampling: probability sampling methods which use random selection and allow statistical inference about the population, and non-probability sampling methods which do not use random selection. Specific probability methods discussed include simple random sampling, systematic random sampling, stratified random sampling, cluster sampling, and multistage sampling. Common non-probability methods mentioned are convenience sampling, purposive sampling, and snowball sampling. The document provides details on how to implement several of these sampling techniques and notes their relative advantages and limitations.

Sampling method in research

This document discusses different sampling methods used in research. It defines key terms like population, sample, and sampling frame. It explains the difference between probability and non-probability sampling. Some common probability sampling methods described include simple random sampling, systematic sampling, stratified sampling, cluster sampling, and multistage sampling. Non-probability sampling methods mentioned are convenience sampling and purposive sampling. The document provides details on how each sampling method is implemented and their relative advantages and disadvantages.

Sampling Methods & Sampling Error PPT - For Seminar

This document discusses various sampling methods used in research including probability sampling techniques like simple random sampling, cluster sampling, systematic sampling, and stratified random sampling. It also covers non-probability sampling methods such as convenience sampling, judgmental sampling, quota sampling, and snowball sampling. The document explains how each method works with examples and concludes by defining sampling error and non-sampling error that can occur in research.

Interview schedule -shani_ppt

An interview schedule is a tool used to guide interviewers and collect data through structured or open-ended questions. There are two main types: in-depth schedules which use open-ended questions for sensitive topics, and structured schedules which resemble questionnaires. A good schedule includes an introduction outlining objectives, a body with major and follow-up questions, and a closing summary. Careful question wording and format can help obtain accurate, relevant responses while minimizing bias.

sampling methods

This document discusses different sampling methods used in research. It begins by defining key terms like population, sample, sampling frame, and probability versus non-probability sampling. It then describes various probability sampling techniques in detail, including simple random sampling, systematic random sampling, stratified random sampling, and cluster random sampling. The document explains the steps for implementing each method and provides examples. It also notes advantages and disadvantages of sampling methods.

Quota Sampling

This document provides an overview of quota sampling. It defines sampling and explains why samples are used instead of censuses. Quota sampling involves selecting a sample based on predefined quotas for certain subgroups of the population. For example, quotas may be set to interview 50 females ages 45-60. Quota sampling is a non-probability method that relies on the interviewer's selection of subjects within each quota, which can introduce bias if not chosen randomly. While quick and cheap, it is not as representative as probability methods that ensure all subgroups have a chance of selection.

Steps in Research-Types of research-Types of Steps in Research-Types of resea...

This document discusses research methods and design. It defines research as a systematic, scientific investigation of a topic to discover new facts or test hypotheses. Research aims to contribute new knowledge through carefully defining problems, formulating hypotheses, collecting and analyzing data, reaching conclusions, and testing conclusions. The key objectives of research are exploratory, descriptive, diagnostic, and hypothesis testing. Characteristics of good research include being directed, empirical, carefully recorded and reported. The common steps in research are formulating the problem, reviewing literature, developing hypotheses, deciding design, collecting and analyzing data, testing hypotheses, and reporting conclusions.

Survey Method in Research

This document discusses the process of conducting surveys. It defines what a survey is and lists its key characteristics. The document outlines the main steps in conducting a survey, which include: defining the problem, identifying the target population, choosing the data collection mode, selecting a sample, preparing the instrument, pretesting the instrument, and training interviewers. It also discusses different types of surveys, sampling techniques, question formats, and other considerations for designing an effective survey.

Sampling design and procedures

This presentation provides overview of procedures for sample size calculation as well as various sampling methods

Sampling

The document discusses various sampling techniques used in survey research. It defines population, sample, census, and sampling. Probability and non-probability sampling methods are described. Probability methods ensure each unit has a known chance of selection and include simple random sampling, systematic sampling, stratified sampling, cluster sampling, area sampling, and multistage sampling. Non-probability methods rely on availability or human judgment and include accidental, convenience, judgment, purposive, and quota sampling. Advantages and limitations of different techniques are also provided.

Sampling and types of techniques

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

Non-Probability Sampling Method

Non-Probability Sampling Method - Convenience Sampling, Judgmental Sampling, Snowball Sampling, Quota Sampling – Advantages & Disadvantages
Difference Between Non-Probability Sampling and Probability Sampling

types of sampling methods.pptx

types of sampling methods under public opinion and survey research. Advantages and Disadvatages of Sampling with pictures and examples

research (3) (1).pptx

Sampling and different ways of sampling under public opinion and survey research.Advantages and disadvantages of different sampling methods with pictures and examples.

Sampling Techniques by Jaya Singh

This document discusses various sampling techniques used in research. It defines key terms like universe, sample, and sampling frame. It describes probability sampling methods like simple random sampling, systematic sampling, stratified sampling, and cluster sampling. It also covers non-probability sampling techniques such as convenience sampling, judgmental sampling, quota sampling, and snowball sampling. The purpose of sampling is to make inferences about a larger population based on analyzing a smaller sample.

SAMPLING

This document discusses sampling methods used in research. It defines sampling as obtaining information from a subset of a larger population. The key sections cover the sampling process, types of sampling including probability and non-probability methods, sources of sampling error, and factors to consider when determining sample size such as the nature of the population, number of variables, desired accuracy level, and available finances. Probability methods like simple random and stratified sampling aim to give all population members an equal chance of selection, while non-probability techniques like convenience and snowball sampling do not. Sample size is an important factor in controlling random error.

Probability Sampling and Types by Selbin Babu

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.

Sampling

This document discusses sampling methods and their key aspects. It defines sampling as selecting a subset of individuals from a population to make inferences about the whole population. Probability sampling methods aim to give all population elements an equal chance of selection, while non-probability methods do not. Some common probability methods described include simple random sampling, systematic sampling, and stratified sampling. The document also discusses sampling frames, statistics versus parameters, confidence levels, and evaluating different sampling techniques.

Sampling

This document discusses sampling methods used in research. It defines key terms like population, sample, and sampling. There are two main types of sampling - probability sampling and non-probability sampling. Probability sampling uses random selection to ensure each member of the population has an equal chance of being selected, allowing for generalization of results. Common probability methods are simple random sampling, systematic sampling, stratified sampling, and cluster sampling. Non-probability sampling relies on personal judgment and does not allow for generalization beyond the sample. Common non-probability methods are convenience sampling, purposive sampling, snowball sampling, and quota sampling. The document outlines the process, advantages, and disadvantages of different sampling techniques.

an introduction and characteristics of sampling, types of sampling and errors

This document discusses sampling methods used in research. It defines key terms like population, sample, sampling units and strategies. The main types of sampling discussed are probability sampling which uses random selection, and non-probability sampling which does not. Specific probability methods covered include simple random sampling, systematic random sampling, stratified random sampling and cluster sampling. Non-probability methods discussed are convenience sampling, purposive sampling, quota sampling, and snowball sampling. The document also addresses sample size determination, sources of error in sampling like sampling error and non-sampling error, and concludes with advantages of sampling.

What is snowball sampling describe in detail?

It is more effective for the the researcher of snowball sampling What is snowball sampling describe in detail? snowball sampling advantage and disadvantages are discribed.
More important for the Bs English students application of snowball sampling describe

Sampling techniques

population , sample, sampling process, sampling techniques: probability sampling, non probability sampling

Sampling methods 16

This document discusses various sampling methods used in research. It begins by defining key sampling terms like population, sample, sampling unit, and sampling frame. It then describes the main types of sampling: probability sampling methods which use random selection and allow statistical inference about the population, and non-probability sampling methods which do not use random selection. Specific probability methods discussed include simple random sampling, systematic random sampling, stratified random sampling, cluster sampling, and multistage sampling. Common non-probability methods mentioned are convenience sampling, purposive sampling, and snowball sampling. The document provides details on how to implement several of these sampling techniques and notes their relative advantages and limitations.

Sampling method in research

This document discusses different sampling methods used in research. It defines key terms like population, sample, and sampling frame. It explains the difference between probability and non-probability sampling. Some common probability sampling methods described include simple random sampling, systematic sampling, stratified sampling, cluster sampling, and multistage sampling. Non-probability sampling methods mentioned are convenience sampling and purposive sampling. The document provides details on how each sampling method is implemented and their relative advantages and disadvantages.

Sampling Methods & Sampling Error PPT - For Seminar

This document discusses various sampling methods used in research including probability sampling techniques like simple random sampling, cluster sampling, systematic sampling, and stratified random sampling. It also covers non-probability sampling methods such as convenience sampling, judgmental sampling, quota sampling, and snowball sampling. The document explains how each method works with examples and concludes by defining sampling error and non-sampling error that can occur in research.

Interview schedule -shani_ppt

An interview schedule is a tool used to guide interviewers and collect data through structured or open-ended questions. There are two main types: in-depth schedules which use open-ended questions for sensitive topics, and structured schedules which resemble questionnaires. A good schedule includes an introduction outlining objectives, a body with major and follow-up questions, and a closing summary. Careful question wording and format can help obtain accurate, relevant responses while minimizing bias.

sampling methods

This document discusses different sampling methods used in research. It begins by defining key terms like population, sample, sampling frame, and probability versus non-probability sampling. It then describes various probability sampling techniques in detail, including simple random sampling, systematic random sampling, stratified random sampling, and cluster random sampling. The document explains the steps for implementing each method and provides examples. It also notes advantages and disadvantages of sampling methods.

Quota Sampling

This document provides an overview of quota sampling. It defines sampling and explains why samples are used instead of censuses. Quota sampling involves selecting a sample based on predefined quotas for certain subgroups of the population. For example, quotas may be set to interview 50 females ages 45-60. Quota sampling is a non-probability method that relies on the interviewer's selection of subjects within each quota, which can introduce bias if not chosen randomly. While quick and cheap, it is not as representative as probability methods that ensure all subgroups have a chance of selection.

Steps in Research-Types of research-Types of Steps in Research-Types of resea...

This document discusses research methods and design. It defines research as a systematic, scientific investigation of a topic to discover new facts or test hypotheses. Research aims to contribute new knowledge through carefully defining problems, formulating hypotheses, collecting and analyzing data, reaching conclusions, and testing conclusions. The key objectives of research are exploratory, descriptive, diagnostic, and hypothesis testing. Characteristics of good research include being directed, empirical, carefully recorded and reported. The common steps in research are formulating the problem, reviewing literature, developing hypotheses, deciding design, collecting and analyzing data, testing hypotheses, and reporting conclusions.

Survey Method in Research

This document discusses the process of conducting surveys. It defines what a survey is and lists its key characteristics. The document outlines the main steps in conducting a survey, which include: defining the problem, identifying the target population, choosing the data collection mode, selecting a sample, preparing the instrument, pretesting the instrument, and training interviewers. It also discusses different types of surveys, sampling techniques, question formats, and other considerations for designing an effective survey.

Sampling design and procedures

This presentation provides overview of procedures for sample size calculation as well as various sampling methods

Sampling

The document discusses various sampling techniques used in survey research. It defines population, sample, census, and sampling. Probability and non-probability sampling methods are described. Probability methods ensure each unit has a known chance of selection and include simple random sampling, systematic sampling, stratified sampling, cluster sampling, area sampling, and multistage sampling. Non-probability methods rely on availability or human judgment and include accidental, convenience, judgment, purposive, and quota sampling. Advantages and limitations of different techniques are also provided.

Sampling and types of techniques

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

Non-Probability Sampling Method

Non-Probability Sampling Method - Convenience Sampling, Judgmental Sampling, Snowball Sampling, Quota Sampling – Advantages & Disadvantages
Difference Between Non-Probability Sampling and Probability Sampling

Sampling Techniques by Jaya Singh

Sampling Techniques by Jaya Singh

SAMPLING

SAMPLING

Probability Sampling and Types by Selbin Babu

Probability Sampling and Types by Selbin Babu

Sampling

Sampling

Sampling

Sampling

an introduction and characteristics of sampling, types of sampling and errors

an introduction and characteristics of sampling, types of sampling and errors

What is snowball sampling describe in detail?

What is snowball sampling describe in detail?

Sampling techniques

Sampling techniques

Sampling methods 16

Sampling methods 16

Sampling method in research

Sampling method in research

Sampling Methods & Sampling Error PPT - For Seminar

Sampling Methods & Sampling Error PPT - For Seminar

Interview schedule -shani_ppt

Interview schedule -shani_ppt

sampling methods

sampling methods

Quota Sampling

Quota Sampling

Steps in Research-Types of research-Types of Steps in Research-Types of resea...

Steps in Research-Types of research-Types of Steps in Research-Types of resea...

Survey Method in Research

Survey Method in Research

Sampling design and procedures

Sampling design and procedures

Sampling

Sampling

Sampling and types of techniques

Sampling and types of techniques

Non-Probability Sampling Method

Non-Probability Sampling Method

types of sampling methods.pptx

types of sampling methods under public opinion and survey research. Advantages and Disadvatages of Sampling with pictures and examples

research (3) (1).pptx

Sampling and different ways of sampling under public opinion and survey research.Advantages and disadvantages of different sampling methods with pictures and examples.

Sampling methods.pptx

This document discusses different sampling methods used in statistics. There are two main types of sampling: probability sampling and non-probability sampling. Probability sampling uses random selection so every member of the population has a chance of being selected, including simple random sampling, systematic sampling, stratified sampling, and clustered sampling. Non-probability sampling does not use random selection and includes convenience sampling, quota sampling, purposive sampling, and snowball sampling. The document provides details on each of these sampling techniques.

Chapter 6 Selecting a Sample

Sampling is used when it is not feasible to study the entire population due to constraints of time, money, and resources. There are two main types of sampling - probability sampling and non-probability sampling. Some key sampling techniques include simple random sampling, stratified sampling, cluster sampling, systematic sampling, convenience sampling, and snowball sampling. It is important to select a sampling technique based on the characteristics of the population and research objectives to obtain a representative sample and minimize bias. Sample size depends on required confidence level, acceptable margin of error, and intended analyses.

Sampling research method

Sampling involves selecting a subset of a population to make inferences about the whole population. Common sampling techniques include probability sampling, where every unit has a known chance of selection, and non-probability sampling, where the probability of selection cannot be determined. Some specific sampling methods are systematic sampling, stratified sampling, cluster sampling, simple random sampling, convenience sampling, judgement sampling, snowball sampling, and quota sampling. Sampling error, the difference between the sample and the true population, can be reduced by using a large, randomly selected sample.

methodology in research

This document discusses methodology in research, including key terms and concepts. It defines methodology as how research is conducted using strategies and techniques. It then covers key aspects of the research process like population, sampling, data collection, analysis and interpretation. It distinguishes between target and accessible populations. It also defines and provides examples of different sampling techniques, including probability sampling methods like simple random sampling and cluster sampling, as well as non-probability methods like convenience and snowball sampling.

SAMPLING METHODS in Research Methodology.pptx

This document discusses different sampling methods for representing a larger population with a subset of samples. It defines key terms like population, sample, and sampling frame. It then covers probability sampling methods like simple random sampling, systematic sampling, and stratified sampling. It also discusses non-probability methods like convenience sampling, quota sampling, purposive sampling, and snowball sampling. Finally, it provides considerations for choosing an appropriate sampling method based on research goals, constraints, desired reach of findings, and getting feedback.

Sampling

This document discusses sampling methods for research. It defines key terms like population, sample, and sampling. It covers the main types of sampling:
1. Probability sampling methods like simple random sampling, stratified sampling, and systematic sampling which give all units an equal chance of selection.
2. Non-probability sampling methods like judgement, quota, and convenience sampling which do not give all units an equal chance and can be biased.
3. Factors to consider for good sampling include accuracy, precision, defining the target population, determining the sampling method and size. The document provides details on each sampling technique and their advantages and disadvantages.

RESEARCH COURSE WORK Makerere University.pptx

Sampling is the process of using a subset of a population to represent the whole population. There are two main types of sampling methods: probability sampling, where each member has a known chance of being selected, and non-probability sampling, where the researcher deliberately chooses items. Some common sampling methods include simple random sampling, stratified sampling, cluster sampling, convenience sampling, and snowball sampling. Researchers must consider their goals, constraints, and desired reach when determining the best sampling method.

SAMPLING_ used for resrnheg AND_ITS_TYPE.pptx

Sampling technical

2RM2 PPT.pptx

The document provides an overview of research process module 2, which covers topics related to sampling design and methods. It defines key terms like population, sample, sampling, random and non-random sampling. It then describes various probability sampling techniques like simple random sampling, stratified random sampling, cluster sampling, systematic sampling, and multi-stage sampling. It also discusses non-probability sampling techniques like convenience sampling and quota sampling. The document provides details on when and how to apply these various sampling methods.

RESECH PPT.pptx

Non-probability sampling is a type of sampling where samples are gathered in a way that does not give all individuals in the population an equal chance of being selected. It is often used when random sampling is impossible due to large population sizes or limited resources. Some common types of non-probability sampling include convenience sampling, quota sampling, snowball sampling, and purposive sampling. While non-probability sampling is less costly and easier than probability sampling, the results cannot be generalized to the larger population due to potential sampling biases.

POPULATION, SAMPLE AND SAMPLING TECHNIQUE.pptx

This document discusses population, samples, and sampling techniques in research. It defines population as the entire group being studied, while a sample is a subset of the population. It describes different probability sampling techniques like random sampling and stratified sampling as well as non-probability techniques like convenience sampling, purposive sampling, snowball sampling, and theoretical sampling. The key factors in choosing a sampling technique are aligning it with the research design and ensuring the sample is representative of the population.

Types of Sampling .pptx

This document discusses different types of sampling methods used in research. It describes probability sampling methods such as simple random sampling, systematic sampling, stratified random sampling, cluster sampling, and multi-stage sampling. It also covers non-probability sampling techniques including convenience sampling, purposive or judgement sampling, snowball sampling, and quota sampling. The key aspects of each sampling method are defined along with their advantages and disadvantages.

Sampling

A sample design is a definite plan for obtaining a sample from a given population. It refers to the technique or the procedure the researcher would adopt in selecting items for the sample. Sample design may as well lay down the number of items to be included in the sample i.e., the size of the sample. Sample design is determined before data are collected. There are many sample designs from which a researcher can choose. Some designs are relatively more precise and easier to apply than others. Researcher must select/prepare a sample design which should be reliable and appropriate for his research study.

Sampling techniques

Sampling is a process used in statistical analysis where a subset of a population, or sample, is used to estimate characteristics of the whole population. There are two main types of sampling: probability sampling, where every member of the population has a known chance of being selected; and non-probability sampling, where not every member has an equal chance of selection. Some common sampling techniques include simple random sampling, systematic random sampling, stratified random sampling, multi-stage random sampling, convenience sampling, quota sampling, and snowball sampling. The goal of sampling is to select a group that accurately represents the larger population to allow researchers to make inferences about the population.

Sampling techniques in Research

Sampling is a process used in statistical analysis where a subset of a population, called a sample, is used to estimate characteristics of the whole population. There are two main types of sampling: probability sampling, where every member of the population has a known chance of being selected; and non-probability sampling, where not every member has an equal chance of selection. Some common sampling techniques include simple random sampling, systematic random sampling, stratified random sampling, multi-stage random sampling, convenience sampling, quota sampling, and snowball sampling. The goal of sampling is to select a group that accurately represents the larger population to allow researchers to make generalizations about characteristics, attributes, and behaviors of the whole population.

Sampling.pptx

The document discusses different sampling methods used in business research. It defines sampling as selecting a smaller group from a larger population to make inferences about the whole population. There are two main types of sampling: probability sampling, which uses random selection so each unit has an equal chance of being chosen; and non-probability sampling, which relies on the researcher's judgement. Some key probability sampling methods described are simple random sampling, stratified random sampling, systematic sampling, and cluster random sampling. The main non-probability sampling techniques discussed are convenience sampling, judgmental sampling, quota sampling, and snowball sampling.

Methods of sampling

The document discusses various sampling methods used in research. It defines key terms like population, sampling element, sampling frame, and inference. It then explains probability sampling methods like simple random sampling, systematic sampling, stratified sampling, cluster sampling, and multi-stage sampling. It discusses their advantages and disadvantages. The document also covers non-probability sampling methods like convenience sampling and purposive sampling. It provides examples of different types of purposive sampling and discusses their advantages over random sampling in certain research objectives.

Practical Research 1 Lesson 1 Quarter four

This document defines key concepts in research sampling. It discusses population as the total group being studied, while a sample is a subset of the population. There are different non-probability sampling methods described, including convenience sampling which selects readily available participants, and quota sampling which aims for quotas of certain population characteristics. Snowball sampling is used when populations are hard to access, by having initial participants refer additional subjects. The document compares advantages like low cost, and disadvantages like lack of representativeness, for these non-probability sampling techniques.

types of sampling methods.pptx

types of sampling methods.pptx

research (3) (1).pptx

research (3) (1).pptx

Sampling methods.pptx

Sampling methods.pptx

Chapter 6 Selecting a Sample

Chapter 6 Selecting a Sample

Sampling research method

Sampling research method

methodology in research

methodology in research

SAMPLING METHODS in Research Methodology.pptx

SAMPLING METHODS in Research Methodology.pptx

Sampling

Sampling

RESEARCH COURSE WORK Makerere University.pptx

RESEARCH COURSE WORK Makerere University.pptx

SAMPLING_ used for resrnheg AND_ITS_TYPE.pptx

SAMPLING_ used for resrnheg AND_ITS_TYPE.pptx

2RM2 PPT.pptx

2RM2 PPT.pptx

RESECH PPT.pptx

RESECH PPT.pptx

POPULATION, SAMPLE AND SAMPLING TECHNIQUE.pptx

POPULATION, SAMPLE AND SAMPLING TECHNIQUE.pptx

Types of Sampling .pptx

Types of Sampling .pptx

Sampling

Sampling

Sampling techniques

Sampling techniques

Sampling techniques in Research

Sampling techniques in Research

Sampling.pptx

Sampling.pptx

Methods of sampling

Methods of sampling

Practical Research 1 Lesson 1 Quarter four

Practical Research 1 Lesson 1 Quarter four

BCG matrix explanation

The document presents information on the BCG matrix, which categorizes a company's products based on their relative market share and market growth rate. It divides products into four categories: question marks, stars, cash cows, and dogs. Question marks have high growth but low share, stars have high growth and share, cash cows have low growth but high share, and dogs have low growth and low share. The matrix is used to analyze how much cash each category generates or consumes and determine the appropriate investment strategy. However, it only considers two factors and getting market data can be challenging.

All you want to know about malaysia

This is all about knowing this country with all the information and hope you may have an idea about this. you may try to know about other countries too.
i have made a poster presentation on this above information and want to share with you.

Steve jobs bibliography - Entrepreneur

One of the re known person in technology change and this person given many contribution in the field of technology. He comes up with a mobile Apple,built up pixel ,next and many more. you name anything his contribution will be there.
He is an example for many peoples in the world and his contribution will be there forever.

My dream company- facebook

A name itself enough to understand about that social networking site. beginning of Facebook and till now its journey was awesome. Its also my dream to work in Facebook and to explore myself in a different way that everyone should be proud. Thinking about Facebook has like a dream come true but it should be in real world. You all will experience this when you read and understand about Facebook.
Facebook has now become trend to interact and share experience.This will help for others to learn and to take up challenges in life.

How to make an effective presentation

presentation is a crucial thing to express yourself better and it create impact on receiver memory that they will remember for a long time. follow this simple steps to make an effective presentation.

Types of companies

Easy understanding about different types of companies with Good chart though which the concepts can be more interesting one.

Business law ppt

This is about complete information about registration and incorporation of Companies Act. Easy understanding with keeping good thought in mind and you may not require more to search other sites.

Current affairs 2017 for quiz round 3

Octagon 2017 A state level fest in Bapuji B school
This will help everyone who is looking for a excellent presentation to present in fest

Logo quiz round 3

Octagon 2017 A state level fest in Bapuji B school
This will help everyone who is looking for a excellent presentation to present in fest

Brand quiz round 2

Octagon 2017 A state level fest in Bapuji B school
This will help everyone who is looking for a excellent presentation to present in fest

Identify the personality round 2Octagon 2017 A state level fest in Bapuji B school
This will help everyone who is looking for a excellent presentation to present in fest

Quiz round 1 pptOctagon 2017 A state level fest in Bapuji B school
This will help everyone who is looking for a excellent presentation to present in fest

Quiz rules pptOctagon 2017 A state level fest in Bapuji B school
This will help everyone who is looking for a excellent presentation to present in fest

BCG matrix explanation

BCG matrix explanation

All you want to know about malaysia

All you want to know about malaysia

Steve jobs bibliography - Entrepreneur

Steve jobs bibliography - Entrepreneur

My dream company- facebook

My dream company- facebook

How to make an effective presentation

How to make an effective presentation

Types of companies

Types of companies

Business law ppt

Business law ppt

Current affairs 2017 for quiz round 3

Current affairs 2017 for quiz round 3

Logo quiz round 3

Logo quiz round 3

Brand quiz round 2

Brand quiz round 2

Identify the personality round 2

Identify the personality round 2

Quiz round 1 ppt

Quiz round 1 ppt

Quiz rules ppt

Quiz rules ppt

How To Control IO Usage using Resource Manager

How To Control IO Usage using Resource Manager
In Multitenant and Exadata architecture

一比一原版(uom毕业证书)曼彻斯特大学毕业证如何办理

原版一模一样【微信：741003700 】【(uom毕业证书)曼彻斯特大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uom毕业证书)曼彻斯特大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uom毕业证书)曼彻斯特大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uom毕业证书)曼彻斯特大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uom毕业证书)曼彻斯特大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx

A note on Networking

Drownings spike from May to August in children

Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!

Build applications with generative AI on Google Cloud

We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.

一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理

办理【微信号:176555708】【办理(UofT毕业证书)】【微信号:176555708】《成绩单、外壳、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号:176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号:176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Cell The Unit of Life for NEET Multiple Choice Questions.docx

celltheunitoflife
ribosomes
thegolgi
nuclearmembrane
cilia
phragmoplast

8 things to know before you start to code in 2024

Things I wish I knew before I started coding.
Simple best practices that will save you time and effort in 2024.

Sid Sigma educational and problem solving power point- Six Sigma.ppt

Sid Sigma educational and problem solving power point

Telemetry Solution for Gaming (AWS Summit'24)

Discover the cutting-edge telemetry solution implemented for Alan Wake 2 by Remedy Entertainment in collaboration with AWS. This comprehensive presentation dives into our objectives, detailing how we utilized advanced analytics to drive gameplay improvements and player engagement.
Key highlights include:
Primary Goals: Implementing gameplay and technical telemetry to capture detailed player behavior and game performance data, fostering data-driven decision-making.
Tech Stack: Leveraging AWS services such as EKS for hosting, WAF for security, Karpenter for instance optimization, S3 for data storage, and OpenTelemetry Collector for data collection. EventBridge and Lambda were used for data compression, while Glue ETL and Athena facilitated data transformation and preparation.
Data Utilization: Transforming raw data into actionable insights with technologies like Glue ETL (PySpark scripts), Glue Crawler, and Athena, culminating in detailed visualizations with Tableau.
Achievements: Successfully managing 700 million to 1 billion events per month at a cost-effective rate, with significant savings compared to commercial solutions. This approach has enabled simplified scaling and substantial improvements in game design, reducing player churn through targeted adjustments.
Community Engagement: Enhanced ability to engage with player communities by leveraging precise data insights, despite having a small community management team.
This presentation is an invaluable resource for professionals in game development, data analytics, and cloud computing, offering insights into how telemetry and analytics can revolutionize player experience and game performance optimization.

一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理

原版办【微信号:BYZS866】【英属哥伦比亚大学毕业证(UBC毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

A gentle exploration of Retrieval Augmented Generation

rag explain introduction

[VCOSA] Monthly Report - Cotton & Yarn Statistics May 2024

We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of May 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.

一比一原版格里菲斯大学毕业证(Griffith毕业证书)学历如何办理

原版制作【微信号:BYZS866】【格里菲斯大学毕业证(Griffith毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

一比一原版悉尼大学毕业证如何办理

原版一模一样【微信：741003700 】【悉尼大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理悉尼大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理悉尼大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理悉尼大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理悉尼大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

一比一原版(UO毕业证)渥太华大学毕业证如何办理

原件一模一样【微信：95270640】【渥太华大学毕业证UO学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：95270640】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理渥太华大学毕业证UO学位证毕业证offer【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

一比一原版加拿大渥太华大学毕业证（uottawa毕业证书）如何办理

原版一模一样【微信：741003700 】【渥太华大学毕业证（uottawa毕业证书）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

How To Control IO Usage using Resource Manager

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- 3. Non- probability sampling Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected.
- 4. Convenience Sampling:- Convenience sampling is probably the most common of all sampling techniques. With convenience sampling, the samples are selected because they are accessible to the researcher. Subjects are chosen simply because they are easy to recruit. This technique is considered easiest, cheapest and least time consuming.
- 5. Consecutive Sampling:- Consecutive sampling is very similar to convenience sampling except that it seeks to include all accessible subjects as part of the sample. This non- probability sampling technique can be considered as the best of all non- probability samples because it includes all subjects that are available that makes the sample a better representation of the entire population.
- 6. Quota Sampling:- Quota sampling is a sampling methodology wherein data is collected from a homogeneous group. It involves a two-step process where two variables can be used to filter information from the population. It can easily be administered and helps in quick comparison.
- 7. Steps to select Quota sampling 1. Divide the population into strata or groups of individuals that are similar (homogeneous) in some way that is important to the response. 2. Choose a separate sample from each stratum. This does not have to be a random sample 3. Combine these sample to form a Quota sample
- 8. Example for Quota sampling Example: 1- If basis of the quota is college year level and the researcher needs equal representation, with a sample size of 100, he must select 25 1st year students, another 25 2nd year students, 25 3rd year and 25 4th year students. The bases of the quota are usually age, gender, education, race, religion and socioeconomic status.
- 9. Example 2- Suppose a researchers is interested in the shopping preference of consumers at a local mall. Since he believes men and women have different preference, the researcher decides to stratify(sub group) the population by gender. From past data, he knows that roughly 60% of mall shoppers are female. He wants a sample size 200. To get a proportional sample, he decide to sample 120 females and 80 males. To save time, he post a sign in the mall to solicit volunteers. He include 120 females volunteers and 80 male volunteers in his sample
- 10. Advantages of Quota sampling:- 1. Sample Can be controlled for certain Characteristics 2. Low cost 3. Fast 4. No sampling Fame
- 11. Dis-advantages of Quota sampling:- 1. Not a good representation 2. Impossible to assess error 3. Biased sample
- 12. When to Use Quota Samples? 1. it allows the researchers to sample a subgroup that is of great interest to the study. If a study aims to investigate a trait or a characteristic of a certain subgroup. 2. Researchers can use quota sampling to study a characteristic of a particular subgroup, or observe relationships between different subgroups. 3. Quota sampling can also be used at times when detailed accuracy is not important. 4. when the company is short of time or the budget of the person who is researching on the topic is limited.
- 13. Judgmental Sampling:- Judgmental sampling is more commonly known as purposive sampling. In this type of sampling, subjects are chosen to be part of the sample with a specific purpose in mind. With judgmental sampling, the researcher believes that some subjects are more fit for the research compared to other individuals. This is the reason why they are purposively chosen as subjects.
- 14. Snowball Sampling:- Snowball sampling is usually done when there is a very small population size. In this type of sampling, the researcher asks the initial subject to identify another potential subject who also meets the criteria of the research. The downside of using a snowball sample is that it is hardly representative of the population.
- 15. When to Use Non-Probability Sampling 1. This type of sampling can be used when demonstrating that a particular trait exists in the population. 2. It can also be used when the researcher aims to do a qualitative , pilot or exploratory study. 3. It can be used when the research does not aim to generate results that will be used to create generalizations pertaining to the entire population. 4. It is also useful when the researcher has limited budget, time and workforce. 5. It can be used when randomization is impossible like when the population is almost limitless. 6. This technique can also be used in an initial study which will be carried out again using a randomized, probability sampling.
- 16. Terminology used in research Sampling Error:- The degree to which the results from the sample deviate from those that would be obtained from the entire population, because of random error in the selection of respondent and the corresponding reduction in reliability Sampling Frame:- A listing that should include all those in the population to be sampled and exclude all those who are not in the population
- 17. Sample:- The population researched in a particular study. Usually, attempts are made to select a "sample population" that is considered representative of groups of people to whom results will be generalized or transferred Survey:- A research tool that includes at least one question which is either open-ended or close-ended and employs an oral or written method for asking these questions Control Group:- The group in an experimental design that receives either no treatment or a different treatment from the experimental group. This group can thus be compared to the experimental group.
- 18. Controlled Experiment:- An experimental design with two or more randomly selected groups [an experimental group and control group] in which the researcher controls or introduces the independent variable and measures the dependent variable at least two times Population:- The target group under investigation. The population is the entire set under consideration. Samples are drawn from populations. Random Sampling:- A process used in research to draw a sample of a population strictly by chance, yielding no discernible pattern beyond chance
- 19. Thank You