{"id":4488,"date":"2024-03-05T16:07:02","date_gmt":"2024-03-05T16:07:02","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=4488"},"modified":"2024-03-05T16:07:02","modified_gmt":"2024-03-05T16:07:02","slug":"which-one-of-the-following-sampling-techniques-can-be-divided-into-proportionate-and-disproportionate","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/which-one-of-the-following-sampling-techniques-can-be-divided-into-proportionate-and-disproportionate\/","title":{"rendered":"Which one of the following sampling techniques can be divided into proportionate and disproportionate ?"},"content":{"rendered":"<p>\r\n    <!-- Check if it's an AMP page -->\r\n            <!-- Non-AMP version -->\r\n        <div class=\"mcq-container\" data-quiz-id=\"quizState_6a972c4339f0c\">\r\n                                            <div class=\"option\" data-option-key=\"option1\" data-is-correct=\"true\">\r\n                    Stratified Random Sampling                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option2\" data-is-correct=\"false\">\r\n                    Simple Random Sampling                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option3\" data-is-correct=\"false\">\r\n                    Cluster Sampling                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option4\" data-is-correct=\"false\">\r\n                    Multistage Sampling                    <\/div>\r\n                            \r\n            <!-- Feedback messages for non-AMP -->\r\n            <div class=\"feedback\" data-feedback=\"wrong\">Answer is Right!<\/div>\r\n            <div class=\"feedback\" data-feedback=\"right\">Answer is Wrong!<\/div>\r\n        <\/div>\r\n\r\n        <script>\r\n        document.addEventListener('DOMContentLoaded', function () {\r\n            var containers = document.querySelectorAll('.mcq-container');\r\n\r\n            containers.forEach(function(container) {\r\n                var options = container.querySelectorAll('.option');\r\n                var feedbackSelect = container.querySelector('[data-feedback=\"select\"]');\r\n                var feedbackWrong = container.querySelector('[data-feedback=\"wrong\"]');\r\n                var feedbackRight = container.querySelector('[data-feedback=\"right\"]');\r\n\r\n                options.forEach(function(option) {\r\n                    option.addEventListener('click', function() {\r\n                        var selectedOption = option.getAttribute('data-option-key');\r\n                        var isCorrect = option.getAttribute('data-is-correct') === 'true';\r\n\r\n                        \/\/ Remove previous selections\r\n                        options.forEach(function(opt) {\r\n                            opt.classList.remove('correct', 'incorrect');\r\n                        });\r\n\r\n                        \/\/ Add the correct\/incorrect class\r\n                        if (isCorrect) {\r\n                            option.classList.add('correct');\r\n                            feedbackRight.hidden = false;\r\n                            feedbackWrong.hidden = true;\r\n                        } else {\r\n                            option.classList.add('incorrect');\r\n                            feedbackRight.hidden = true;\r\n                            feedbackWrong.hidden = false;\r\n                        }\r\n\r\n                        \/\/ Hide select feedback\r\n                        feedbackSelect.hidden = true;\r\n                    });\r\n                });\r\n            });\r\n        });\r\n        <\/script>\r\n    \r\n    <!--more--><\/p>\n<p>The correct answer is (a) Stratified Random Sampling.<\/p>\n<p>Stratified random sampling is a sampling technique where the population is divided into smaller groups called strata, and then a random sample is selected from each stratum. This sampling technique can be divided into proportionate and disproportionate stratified random sampling.<\/p>\n<p>In proportionate stratified random sampling, the number of samples selected from each stratum is proportional to the <div class=\"telegram-channel-container\">\r\n        <a href=\"https:\/\/t.me\/pscnotes2025\" target=\"_blank\" class=\"telegram-channel-button\">\r\n            <span class=\"telegram-icon\">\r\n                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 496 512\">\r\n                    <path fill=\"white\" d=\"M248,8C111,8,0,119,0,256s111,248,248,248s248-111,248-248S385,8,248,8z M362,177L320,367c-3,14-10,18-20,14l-56-41l-27,26 c-3,3-5,5-10,5l4-63L323,196c5-5-1-7-8-3l-98,62l-42-13c-9-3-10-9,2-14l162-63C351,160,365,164,362,177z\"\/>\r\n                <\/svg>\r\n            <\/span>\r\n            Join Our Telegram Channel\r\n        <\/a>\r\n    <\/div> size of the stratum in the population. This sampling technique is used when the researcher wants to ensure that all strata are represented in the sample in proportion to their size in the population.<\/p>\n<p>In disproportionate stratified random sampling, the number of samples selected from each stratum is not proportional to the size of the stratum in the population. This sampling technique is used when the researcher wants to ensure that certain strata are represented more heavily in the sample than their size in the population.<\/p>\n<p>Simple random sampling is a sampling technique where each member of the population has an equal chance of being selected for the sample. This sampling technique is easy to understand and implement, but it can be difficult to achieve if the population is large or if the sampling frame is not <div class=\"youtube-subscribe-container\">\r\n        <a href=\"https:\/\/www.youtube.com\/channel\/UCNHT8lW-JmLC68rjBfZhdkg?sub_confirmation=1\" target=\"_blank\" class=\"youtube-subscribe-button\">\r\n            <span class=\"youtube-icon\">\r\n                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 576 512\">\r\n                    <path d=\"M549.7 124.1c-6.3-23.7-24.8-42.3-48.3-48.6C458.8 64 288 64 288 64S117.2 64 74.6 75.5c-23.5 6.3-42 24.9-48.3 48.6-11.4 42.9-11.4 132.3-11.4 132.3s0 89.4 11.4 132.3c6.3 23.7 24.8 41.5 48.3 47.8C117.2 448 288 448 288 448s170.8 0 213.4-11.5c23.5-6.3 42-24.2 48.3-47.8 11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z\"\/>\r\n                <\/svg>\r\n            <\/span>\r\n            Subscribe on YouTube\r\n        <\/a>\r\n    <\/div> accurate.<\/p>\n<p>Cluster sampling is a sampling technique where the population is divided into smaller groups called clusters, and then a random sample of clusters is selected. The members of each selected cluster are then included in the sample. This sampling technique is less expensive and time-consuming than simple random sampling, but it can be less accurate.<\/p>\n<p>Multistage sampling is a sampling technique where the population is divided into smaller and smaller groups at each stage of the sampling process. This sampling technique is often used when the population is large or when the sampling frame is not accurate.<\/p>\n<p>I hope this helps!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Join Our Telegram Channel Subscribe on YouTube<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[371],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Which one of the following sampling techniques can be divided into proportionate and disproportionate ?<\/title>\n<meta name=\"description\" content=\"Stratified random sampling is a sampling technique where the population is divided into smaller groups called strata, and then a random sample is selected from each stratum. This sampling technique can be divided into proportionate and disproportionate stratified random sampling.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/exam.pscnotes.com\/mcq\/which-one-of-the-following-sampling-techniques-can-be-divided-into-proportionate-and-disproportionate\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Which one of the following sampling techniques can be divided into proportionate and disproportionate ?\" \/>\n<meta property=\"og:description\" content=\"Stratified random sampling is a sampling technique where the population is divided into smaller groups called strata, and then a random sample is selected from each stratum. 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This sampling technique can be divided into proportionate and disproportionate stratified random sampling.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/exam.pscnotes.com\/mcq\/which-one-of-the-following-sampling-techniques-can-be-divided-into-proportionate-and-disproportionate\/","og_locale":"en_US","og_type":"article","og_title":"Which one of the following sampling techniques can be divided into proportionate and disproportionate ?","og_description":"Stratified random sampling is a sampling technique where the population is divided into smaller groups called strata, and then a random sample is selected from each stratum. This sampling technique can be divided into proportionate and disproportionate stratified random sampling.","og_url":"https:\/\/exam.pscnotes.com\/mcq\/which-one-of-the-following-sampling-techniques-can-be-divided-into-proportionate-and-disproportionate\/","og_site_name":"MCQ and Quiz for Exams","article_published_time":"2024-03-05T16:07:02+00:00","author":"rawan239","twitter_card":"summary_large_image","twitter_misc":{"Written by":"rawan239","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/exam.pscnotes.com\/mcq\/which-one-of-the-following-sampling-techniques-can-be-divided-into-proportionate-and-disproportionate\/","url":"https:\/\/exam.pscnotes.com\/mcq\/which-one-of-the-following-sampling-techniques-can-be-divided-into-proportionate-and-disproportionate\/","name":"Which one of the following sampling techniques can be divided into proportionate and disproportionate ?","isPartOf":{"@id":"https:\/\/exam.pscnotes.com\/mcq\/#website"},"datePublished":"2024-03-05T16:07:02+00:00","dateModified":"2024-03-05T16:07:02+00:00","author":{"@id":"https:\/\/exam.pscnotes.com\/mcq\/#\/schema\/person\/5807dafeb27d2ec82344d6cbd6c3d209"},"description":"Stratified random sampling is a sampling technique where the population is divided into smaller groups called strata, and then a random sample is selected from each stratum. 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