Types of sampling methods in statistics pdf

The first class of sampling methods is known as probability sampling methods because every member in a population has an equal probability of being selected to be in the sample. Definition: Every member of a population has an equal chance of being selected to be in the sample. Randomly select members through the use of a random number generator or some means of random selection. Example: We put the names of every student in a class into a hat and randomly draw out names to get a sample of students.

Definition: Split a population into groups. Randomly select some members from each group to be in the sample. Example: Split up all students in a school according to their grade — freshman, sophomores, juniors, and seniors. Ask 50 students from each grade to complete a survey about the school lunches. Benefit: Stratified random samples ensure that members from each group in the population are included in the survey.

Definition: Split a population into clusters. Randomly select some of the clusters and include all members from those clusters in the sample. Example: A company that gives whale watching tours wants to survey its customers. Out of ten tours they give one day, they randomly select four tours and ask every customer about their experience.

Benefit: Cluster random samples get every member from some of the groups, which is useful when each group is reflective of the population as a whole. Definition: Put every member of a population into some order. It reviews the various types of sampling method — both probability and non-probability — and examines their applicability to Internet-based surveys. When a random starting point is chosen, followed by every nth individual, this sampling method is a. The sampling interval would be a.

A simple …. Statistical Sampling Wyzant Resources Although simple random sampling is the ideal for social science and most of the statistics used are based on assumptions of SRS, in practice, SRS are rarely seen. It can be terribly inefficient, and particularly difficult when large samples are needed.

Other probability methods are more common. Types of Sampling Methods 4. The simple random sample is the basic sampling method assumed in statistical methods and computations. A sampling method where the sample is randomly selected to ensure unbiased results. Skip to content Types of sampling methods in statistics pdf The main goal of any marketing or statistical research is to provide quality results that are a reliable basis for decision-making.

Title Page No. Introduction 4 2. Important Terms 8, 9 4. Sample Design 10, 11 5. Stages of Sampling 12 - 17 6. Suggestion 19 8.

Conclusion 20 9. Bibliography 21 3. Research is a process of inquiry, investigation, close scrutiny and discovery, each time you think and find a suitable answer to a question, you are engaging in a research no matter how little. To conduct a good research, there is need for data. Accordingly, data is the information, facts, observation, measurements, or materials that are collected by a researcher for the purpose of generating results for the research.

To generate results, there is a need for data gathering through application of various techniques. Data gathering is the process of collecting and measuring information on variables of interest in an established, systematic manner that enables one to answer the stated research question, test hypothesis and evaluated outcome while the techniques for data gathering are the methods and approaches that are used for data collection by the researcher.

The Oxford Advanced Learners Dictionary of Current English defines data as the fact if information especially when examined and used to find out things to make decisions or information. The importance of data gathering in legal research is many. It enables the researcher to secure accurate information on a research topic. In this regard, collection of data enables to understand the object of study, the events and the phenomenon in the research, to know the extent and limitations on the information available on request topic.

Most research studies are based on samples. When a small group is selected as representative of the whole, it is known as sample method.

Sampling can be defined as the method or the technique consisting of selection for the study of the so called part or the portion or the sample, with a view to draw conclusions or solutions about the universe or the population.

In order to answer the research questions, it is doubtful that the researcher should be able to collect data from all cases. Thus, there is a need to select a sample. The entire set of cases from which researcher sample is drawn in called the population. Since, researchers have neither the time nor the resources to analyze the entire population so they apply sampling technique to reduce the number of cases.

This law comes from the mathematical theory of probability. The Purpose of Sampling: In some types of research the target population might be as broad as all humans, but in other types of research the target population might be a smaller group such as teenagers, preschool children or people who misuse drugs. It is more or less impossible to study every single person in a target population so psychologists select a sample or sub-group of the population that is likely to be representative of the target population we are interested in.

This is important because we want to generalize from the sample to target the population. The more representative the sample, the more confident the researcher can be that the results can be generalized to the target population. One of the problems that can occur when selecting a sample from a target population is sampling bias. Sampling bias refers to situations where the sample does not reflect the characteristics of the target population. The population or universe embodies the entire group of units which is the centre of the study.

Thus, the population could consist of all the persons in the country, or those in a particular topographical position, or a special cultural or economic group, depending on the rationale and exposure of the study.

Thus, it is a total set of elements persons or objects that share some common features defined by the sampling criterion established by the researcher. A sample is the group of units who took part in research.

Generalisability refers to the degree to which we can correlate the findings of our research to the target population we are concerned. This population is a split or subset of the target population and is also known as the study population. It is from the accessible population that researchers draw their samples. Sample Group or Sampling. It is the most bias thing in the universe from which data is to be collected.

If the cinema hall was selected on the basis that it was easier to reach then it is a convenience sampling method. Madhu Bhatia.

Megha Aggarwal. Mike West. Michael Miller. Abhilash Nelson. Statistics - Sampling methods Advertisements. Previous Page. Next Page. Useful Video Courses.