Sampling techniques

Multistage sampling

In statistics, multistage sampling is the taking of samples in stages using smaller and smaller sampling units at each stage. Multistage sampling can be a complex form of cluster sampling because it is a type of sampling which involves dividing the population into groups (or clusters). Then, one or more clusters are chosen at random and everyone within the chosen cluster is sampled. Using all the sample elements in all the selected clusters may be prohibitively expensive or unnecessary. Under these circumstances, multistage cluster sampling becomes useful. Instead of using all the elements contained in the selected clusters, the researcher randomly selects elements from each cluster. Constructing the clusters is the first stage. Deciding what elements within the cluster to use is the second stage. The technique is used frequently when a complete list of all members of the population does not exist and is inappropriate. In some cases, several levels of cluster selection may be applied before the final sample elements are reached. For example, household surveys conducted by the Australian Bureau of Statistics begin by dividing metropolitan regions into 'collection districts' and selecting some of these collection districts (first stage). The selected collection districts are then divided into blocks, and blocks are chosen from within each selected collection district (second stage). Next, dwellings are listed within each selected block, and some of these dwellings are selected (third stage). This method makes it unnecessary to create a list of every dwelling in the region and necessary only for selected blocks. In remote areas, an additional stage of clustering is used, in order to reduce travel requirements. Although cluster sampling and stratified sampling bear some superficial similarities, they are substantially different. In stratified sampling, a random sample is drawn from all the strata, where in cluster sampling only the selected clusters are studied, either in single- or multi-stage. Advantages * Cost and speed that the survey can be done in * Convenience of finding the survey sample * Normally more accurate than cluster sampling for the same size sample Disadvantages * Not as accurate as Simple Random Sample if the sample is the same size * More testing is difficult to do (Wikipedia).

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Multistage Sampling

What is multistage sampling? Examples, including real life examples. Advantages and disadvantages. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sam

From playlist Sampling

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Frequency Domain Interpretation of Sampling

http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Analysis of the effect of sampling a continuous-time signal in the frequency domain through use of the Fourier transform.

From playlist Sampling and Reconstruction of Signals

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Multimeter Review / DMM Review / buyers guide / tutorial

A list of my multimeters can be purchased here: http://astore.amazon.com/m0711-20?_encoding=UTF8&node=5 In this video I do a review of several digital multimeters. I compare features and functionality. I explain safety features, number of digits, display count, accuracy and resolution. Th

From playlist Multimeter reviews, buyers guide and comparisons.

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Strategies for multirate signals

This is part of an online course on beginner/intermediate applied signal processing, which presents theory and implementation in MATLAB and Python. The course is designed for people interested in applying signal processing methods to applications in time series analysis. More info here: h

From playlist Signal processing in MATLAB and Python

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Different Sampling Methods

An overview of the most popular sampling methods used in statistics. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sampling-in-statistics

From playlist Sampling

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What is Multivariate Testing? | Data Science in Minutes

In this tutorial, we will explain: how a multivariate test differs from an A/B Test, how to create and conduct a multivariate test, and what questions you should be asking of your test. Multivariate testing is a technique for testing a hypothesis in which multiple variables are modified.

From playlist Data Science in Minutes

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Statistics - Types of sampling

This video will show you the many ways that you could sample. Remember to look for those small differences such as if you are breaking things into groups first. For more videos visit http://www.mysecretmathtutor.com

From playlist Statistics

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Multistage Events (1 of 2: Constructing probability trees)

More resources available at www.misterwootube.com

From playlist Relative Frequency and Probability

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Sampling Techniques & Cautions (Full Length)

I define and discuss the differences of observational studies and experiments. I then discuss the difference between a sample and a census. I introduce two types of sampling techniques that yield biased results...Voluntary Response and Convenience Sampling. I discuss Stratified Random S

From playlist AP Statistics

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Optimizing Docker Builds for Python Applications

Do you deploy Python applications in Docker? Then this session is for you! We will start by reviewing a simple Dockerfile to package a Python application and move to more complex examples which speed up the build process and reduce the size of the resulting Docker image for both developm

From playlist Containers

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Probability Sampling Methods

What is "Probability sampling?" A brief overview. Four different types, their advantages and disadvantages: cluster, SRS (Simple Random Sampling), Systematic and Stratified sampling. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with

From playlist Sampling

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Electronic measurement equipment and multimeters - Part 1

In this video series I show different measurement equipment (multimeters, etc) and why / how I use them. In later videos I'll explore different features and highlight pro's and con's. A list of my multimeters can be purchased here: http://astore.amazon.com/m0711-20?_encoding=UTF8&node=

From playlist Electronic Measurement Equipment

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EEVblog #391 - Rigol DSA815 Spectrum Analyser Teardown

Teardown Tuesday What's inside Rigol's low cost DSA815-TG spectrum analyser? Photos: http://www.flickr.com/photos/eevblog/sets/72157632115219155/ Forum Topic: http://www.eevblog.com/forum/product-reviews-photos-and-discussion/eevblog-391-rigol-dsa815-spectrum-anayser-teardown/ Datasheets o

From playlist Electronics Teardowns

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Stanford Seminar: A Topologically Optimal Internet

EE380: Computer Systems Colloquium A Topologically Optimal Internet Speaker: Alan Huang, Ph.D, Terabit Corporation Current packet backbone networks are based on telephone, railroad, or highway networks. They were designed to minimize the total link length. Packet switched networks are d

From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series

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Introduction to Probability "PB1" (2 of 2: Language & terminology)

More resources available at www.misterwootube.com

From playlist Relative Frequency and Probability

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Multimeter Calibration - Some future testing..

A list of my multimeters can be purchased here: http://astore.amazon.com/m0711-20?_encoding=UTF8&node=5 The calibration of my Major Tech MT22 raised some interesting responses so we'll take this topic a little further. I have ordered a DMMCheck and PentaRef from Voltagestandard.com.

From playlist Multimeter reviews, buyers guide and comparisons.

Related pages

Cluster sampling | Statistics | Stratified sampling