{"id":52369,"date":"2024-04-15T23:38:21","date_gmt":"2024-04-15T23:38:21","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=52369"},"modified":"2024-04-15T23:38:21","modified_gmt":"2024-04-15T23:38:21","slug":"which-of-the-following-type-of-data-science-question-is-missing-in-the-figure","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/which-of-the-following-type-of-data-science-question-is-missing-in-the-figure\/","title":{"rendered":"Which of the following type of data science question is missing in the figure?"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;Correlative&#8221; option2=&#8221;Exploratory&#8221; option3=&#8221;Relative&#8221; option4=&#8221;None of the mentioned&#8221; correct=&#8221;option1&#8243;]<!--more--><\/p>\n<p>The correct answer is: <strong>A. Correlative<\/strong><\/p>\n<p>A correlative question is a type of data science question that asks about the relationship between two or more variables. For example, a correlative question might ask whether there is a relationship between the number of hours a student studies and their GPA.<\/p>\n<p>An exploratory question is a type of data science question that asks about the characteristics of a data set. For example, an exploratory question might ask what the average age of a customer is.<\/p>\n<p>A relative question is a type of data science question that asks about the difference between two or more values. For example, a relative question might ask how much more money a company made in 2021 than in 2020.<\/p>\n<p>The figure shows the three types of data science questions, but it does not include a correlative question. Therefore, the correct answer is A. Correlative.<\/p>\n<p>Here are some additional details about each type of question:<\/p>\n<ul>\n<li>Correlative questions are used to determine whether there is a relationship between two or more variables. For example, a correlative question might ask whether there is a relationship between the number of hours a student studies and their GPA. To answer this question, you would collect data on the number of hours each student studies and their GPA. You would then use statistical methods to determine whether there is a statistically significant relationship between these two variables.<\/li>\n<li>Exploratory questions are used to learn more about the characteristics of a data set. For example, an exploratory question might ask what the average age of a customer is. To answer this question, you would collect data on the age of each customer. You would then use statistical methods to summarize the data and calculate the average age.<\/li>\n<li>Relative questions are used to compare two or more values. For example, a relative question might ask how much more money a company made in 2021 than in 2020. To answer this question, you would collect data on the company&#8217;s revenue in 2021 and 2020. You would then use statistical methods to calculate the difference between these two values.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;Correlative&#8221; option2=&#8221;Exploratory&#8221; option3=&#8221;Relative&#8221; option4=&#8221;None of the mentioned&#8221; correct=&#8221;option1&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[734],"tags":[],"class_list":["post-52369","post","type-post","status-publish","format-standard","hentry","category-introduction-to-data-science","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 type of data science question is missing in the figure?<\/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-type-of-data-science-question-is-missing-in-the-figure\/\" \/>\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 type of data science question is missing in the figure?\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;Correlative&#8221; 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