{"id":58214,"date":"2024-04-16T01:15:36","date_gmt":"2024-04-16T01:15:36","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=58214"},"modified":"2024-04-16T01:15:36","modified_gmt":"2024-04-16T01:15:36","slug":"which-of-the-following-is-example-use-of-poisson-distribution","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/which-of-the-following-is-example-use-of-poisson-distribution\/","title":{"rendered":"Which of the following is example use of Poisson distribution?"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;Analyzing contingency table data&#8221; option2=&#8221;Modeling web traffic hits&#8221; option3=&#8221;Incidence rates&#8221; option4=&#8221;All of the mentioned&#8221; correct=&#8221;option4&#8243;]<!--more--><\/p>\n<p>The correct answer is D. All of the mentioned.<\/p>\n<p>The Poisson distribution is a probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space if these events occur with a known average rate and independently of the time since the last event. It is named after Sim\u00c3\u00a9on Denis Poisson, who first published it in 1837.<\/p>\n<p>The Poisson distribution is often used to model the number of events that occur in a given time interval, such as the number of phone calls received by a call center in an hour, the number of errors in a software program, or the number of radioactive decays in a given sample. It can also be used to model the number of events that occur in a given area, such as the number of car accidents on a highway in a day, the number of people who visit a website in a week, or the number of bacteria in a colony.<\/p>\n<p>The Poisson distribution is a good model for events that occur with a low probability and are independent of each other. For example, the number of phone calls received by a call center in an hour is a good example of an event that occurs with a low probability. The probability of receiving a phone call in a given minute is very low, but the number of phone calls received in an hour is likely to be a Poisson random variable.<\/p>\n<p>The Poisson distribution is also a good model for events that occur with a known average rate. For example, the number of errors in a software program is a good example of an event that occurs with a known average rate. The average number of errors in a software program is likely to be a Poisson random variable.<\/p>\n<p>The Poisson distribution is a versatile tool that can be used to model a variety of events. It is a good model for events that occur with a low probability and are independent of each other. It is also a good model for events that occur with a known average rate.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;Analyzing contingency table data&#8221; option2=&#8221;Modeling web traffic hits&#8221; option3=&#8221;Incidence rates&#8221; option4=&#8221;All of the mentioned&#8221; correct=&#8221;option4&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[738],"tags":[],"class_list":["post-58214","post","type-post","status-publish","format-standard","hentry","category-data-science-miscellaneous","no-featured-image-padding"],"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 of the following is example use of Poisson distribution?<\/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:\/\/exam.pscnotes.com\/mcq\/which-of-the-following-is-example-use-of-poisson-distribution\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Which of the following is example use of Poisson distribution?\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;Analyzing contingency table data&#8221; 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