{"id":48555,"date":"2025-11-19T14:09:32","date_gmt":"2025-11-19T14:09:32","guid":{"rendered":"https:\/\/certifeka-edu.com\/programs\/research-for-strategic-development-professional-certificate-3\/lessons\/lesson-2-sampling-techniques-applications-simple-random-sampling-3\/"},"modified":"2025-11-19T14:09:32","modified_gmt":"2025-11-19T14:09:32","slug":"lesson-2-sampling-techniques-applications-simple-random-sampling-3","status":"publish","type":"lesson","link":"https:\/\/certifeka-edu.com\/ar\/programs\/research-for-strategic-development-module\/lessons\/lesson-2-sampling-techniques-applications-simple-random-sampling-3\/","title":{"rendered":"Lesson 2: Sampling techniques applications -Simple Random Sampling"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" width=\"96\" height=\"114\" src=\"https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1.png\" alt=\"\" srcset=\"https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1.png 96w, https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1-10x12.png 10w, https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1-42x50.png 42w\" sizes=\"auto, (max-width: 96px) 100vw, 96px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/p>\n<h2>Lesson 2: Sampling Techniques<br \/>\n<\/h2>\n<h3>Simple Random<\/h3>\n<h5><font color=\"#000080\">In Simple Random Sampling there are 4 ways of applications:<\/font><\/h5>\n<details id=\"e-n-accordion-item-1250\" open>\n<summary data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-1250\" >\n\t\t\t\t\t  Research question and population<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5> If a researcher is studying the inhabitants who pay taxes in a city with 100,000 inhabitants<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-1251\" >\n<summary data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1251\" >\n\t\t\t\t\t Sampling technique and sample size<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>he\/she needs to undertake simple random sampling to obtain a sample size of 1000.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-1252\" >\n<summary data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1252\" >\n\t\t\t\t\t  Steps<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>Firstly, he\/she needs to define the population as the city inhabitants who are eligible to pay taxes and are at least 18 years old.<\/h5>\n<h5>Secondly, he\/she needs to construct an inclusive inhabitants list of this population maybe from the township tax office.<\/h5>\n<h5>Thirdly, randomly select inhabitants from the list either automatically through a computer program or manually by randomly printing out names on slips of paper and drawing them from a basket.<\/h5>\n<h5>Lastly, he\/she contacts the drawn sample from the list until he\/she achieves the target sample size of 1000.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-1253\" >\n<summary data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1253\" >\n\t\t\t\t\t Applications<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>When the researcher wants to save time and money, simple random sampling is one of the best probability sampling methods that you can use to gather valid and generalizable data from the sample. It is also commonly used for randomized control tests or blinded experiments.<\/h5>\n<\/details>\n<h5> If a researcher is studying the inhabitants who pay taxes in a city with 100,000 inhabitants<\/h5>\n<h5>he\/she needs to undertake simple random sampling to obtain a sample size of 1000.<\/h5>\n<h5>Firstly, he\/she needs to define the population as the city inhabitants who are eligible to pay taxes and are at least 18 years old.<\/h5>\n<h5>Secondly, he\/she needs to construct an inclusive inhabitants list of this population maybe from the township tax office.<\/h5>\n<h5>Thirdly, randomly select inhabitants from the list either automatically through a computer program or manually by randomly printing out names on slips of paper and drawing them from a basket.<\/h5>\n<h5>Lastly, he\/she contacts the drawn sample from the list until he\/she achieves the target sample size of 1000.<\/h5>\n<h5>When the researcher wants to save time and money, simple random sampling is one of the best probability sampling methods that you can use to gather valid and generalizable data from the sample. It is also commonly used for randomized control tests or blinded experiments.<\/h5>","protected":false},"comment_status":"open","ping_status":"closed","template":"","class_list":["post-48555","lesson","type-lesson","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Lesson 2: Sampling techniques applications -Simple Random Sampling - Certifeka-edu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/certifeka-edu.com\/ar\/programs\/research-for-strategic-development-module\/lessons\/lesson-2-sampling-techniques-applications-simple-random-sampling-3\/\" \/>\n<meta property=\"og:locale\" content=\"ar_AR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lesson 2: Sampling techniques applications -Simple Random Sampling - Certifeka-edu\" \/>\n<meta property=\"og:description\" content=\"Lesson 2: Sampling Techniques Simple Random In Simple Random Sampling there are 4 ways of applications: Research question and population If a researcher is studying the inhabitants who pay taxes in a city with 100,000 inhabitants Sampling technique and sample size he\/she needs to undertake simple random sampling to obtain a sample size of 1000. 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