Stratified Random Sampling Presentation. Stratified sampling is a technique where the population is divided

Stratified sampling is a technique where the population is divided into subgroups or strata, and then a random sample is selected proportionally from each strata. Stratified random sampling involves separating a population into non-overlapping groups called strata and then randomly sampling from each stratum. In statistical surveys, when subpopulation within an overall population vary, it is advantageous to sample each subpopulation (stratum) independently. Stratification is the process of dividing members of the population into homogeneous subgroups before sampling. Procedure. Samples are then randomly selected from each strata. Dec 3, 2011 · Stratified Random Sampling • The ultimate function of stratification is to organize the population into homogeneous subsets and to select a SRS of the appropriate size from each stratum. Jan 8, 2025 · Learn about the benefits of stratified sampling, how to stratify populations effectively, and estimation techniques using strata for accurate results. This document discusses stratified sampling, which involves dividing a population into subgroups or strata based on characteristics. Stratified Sampling - Free download as Powerpoint Presentation (. Sampling Methods. It can reduce variation within strata. Sampling (statistics) A visual representation of the sampling process In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. - Download as a PPTX, PDF or view online for free Divide sampling frame into mutually exclusive and exhaustive strata. Assign each SU to one and only one Caribou survey example. By the end of this session, you will be able to explain what is meant by stratification, how a stratified sample is drawn, and its advantages Slideshow 5765259 by sofia If a particular probability sample design is properly executed, i. Random sampling. Jun 27, 2012 · Ch 4: Stratified Random Sampling (STS). 6 days ago · Level up your studying with AI-generated flashcards, summaries, essay prompts, and practice tests from your own notes. What is Stratified Sampling?. This ensures adequate representation of specific subgroups of interest. The cost per observation in the survey may be reduced. Key differences include efficiency, cost, and the time required for sampling, with stratified sampling aiming for This document discusses different types of sampling methods used in statistics. Finally Aug 10, 2014 · Stratified Sampling. Lecturer: Chad Jensen. It defines key terms like population, sample, and random sampling. Perfect for enhancing your understanding of various sampling techniques in research. Advantages of stratified random sampling How to select stratified random sample Estimating population mean and total Determining sample size, allocation Estimating population proportion; sample size and allocation Optimal rule for choosing strata. The lesson plan details the procedures, which include an introductory activity, motivation, presentation on random sampling techniques, and a discussion with examples. A company employs 1000 people. - Common variables to stratify on include demographics Study with Quizlet and memorize flashcards containing terms like Sampling, Simple Random Sampling, Stratified Random and more. The strata should be mutually exclusive: every element in the Oct 23, 2014 · Estimation in Stratified Random Sampling. Stratified random sampling can reduce bias and variability compared to simple random sampling. Stratified random sampling is a probability sampling technique where the population is divided into subgroups or strata. Stratified sampling. Learning Objectives. . May 25, 2021 · Find predesigned Stratified Random Sampling Vs Cluster Sampling Examples Ppt Powerpoint Presentation Cpb PowerPoint templates slides, graphics, and image designs provided by SlideTeam. We used stratified random sampling to ensure proportional representation of subgroups, as supported by Hassan (2024). It provides definitions and examples to illustrate each type. Optimal allocation – - id: 65495-YTYxZ. pptx), PDF File (. 3. ” Robert (Source of Data – Data Jul 4, 2012 · Presentation Transcript 1. Jul 28, 2014 · Chapter 5 Stratified Random Sampling. e. To introduce basic sampling concepts in stratified sampling Demonstrate how to select a random sample using stratified sampling design. Sign up now to access Basic Concepts of Statistics: Data Types, Sampling, and Data Presentation materials and AI-powered study resources. It then explains different random sampling techniques like simple random sampling, systematic sampling, stratified random sampling, cluster sampling, and multi-stage sampling. The document discusses different types of random sampling techniques used in research. The document compares stratified sampling and cluster sampling, outlining their definitions and methodologies. Simple random sampling involves randomly selecting cases from a sampling frame. 49. Stratified Sampling Stratified sampling uses a small sample from a population to accurately represent each element of that population. Key steps include clearly specifying the strata, dividing the sampling units into strata, and Oct 31, 2014 · Stratified Sampling. Stratified sampling divides the population Stratified sampling is a method of sampling from a population. A stratified survey could thus claim to be more representative of the population than a survey of simple random sampling or systematic sampling. Session Objectives. (Self weighting) Disproportionate stratified sample – The size of the sample selected from each subgroup is disproportional to the size of that subgroup in the population. (Session 07). SRS (simple random sample) Systematic Convenience Judgment Quota Snowball Stratified Sampling. Is yet another sampling design Slideshow 6015867 by tasha-vang This document discusses different types of probability sampling designs used in research including simple random sampling, stratified sampling, systematic sampling, cluster sampling, and multistage sampling. Some key points: - Stratification allows for greater precision than simple random sampling of the same size. Find predesigned Stratified Random Sampling Example Ppt Powerpoint Presentation Show Cpb PowerPoint templates slides, graphics, and image designs provided by SlideTeam. pdf), Text File (. Samples are then randomly selected from each stratum. It also discusses the differences between strata and clusters. ” Support Statement (Alhana): “Christine’s point is crucial—by using stratified random sampling, we will avoid bias and ensured that every barangay’s voice was equally represented. Study with Quizlet and memorize flashcards containing terms like RANDOM SAMPLING?, -Simple random sampling -Systematic random sampling -Stratified random sampling -Cluster sampling, Simple random sampling and more. The lesson plan covers random sampling, with the learning outcomes being that students will understand random sampling, dependency on others, and be able to perform random sampling. A stratified random sample of the employees is to be selected to form a committee. DEFN: A stratified random sample is obtained by separating the population units into non-overlapping groups, called strata, and then selecting a random sample from each stratum. The document discusses stratified random sampling, which involves dividing a population into homogeneous subgroups called strata and randomly sampling from each stratum. See the following example. Stratified sampling involves dividing a population into homogeneous subgroups and sampling from each, while cluster sampling selects entire existing groups at random. pptx - Free download as Powerpoint Presentation (. txt) or view presentation slides online. ppt / . Both mean and variance can be corrected for disproportionate sampling costs using stratified sample sizes. , defining the universe, the frame, the sampling units, using proper randomization, accurately measuring the variables of interest, and using the correct formulas for estimation, then assertions that the sample and its resulting estimates are “not statistically valid Stratified Random Sampling (1) - Free download as Powerpoint Presentation (. There are two main types: proportional, where each strata is sampled at the same rate relative to its population size, and disproportionate, where strata can be Explore our comprehensive PowerPoint presentation on Sampling Methods, designed for easy customization and editing. However, it requires knowing the names of all population members and may be difficult if some selected cannot be reached. Module 3 Session 6. Stratification may produce a smaller bound on the error of estimation than would be produced by a SRS of the same size (especially if homogeneous within strata).

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