{"id":33819,"date":"2024-04-15T09:22:08","date_gmt":"2024-04-15T09:22:08","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=33819"},"modified":"2024-04-15T09:22:08","modified_gmt":"2024-04-15T09:22:08","slug":"aset-of-data-can-be-distinguished-from-other-set-of-data-by-means-of","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/aset-of-data-can-be-distinguished-from-other-set-of-data-by-means-of\/","title":{"rendered":"Aset of data can be distinguished from other set of data by means of"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;Central value and dispersion&#8221; option2=&#8221;Central value, dispersion and skewness&#8221; option3=&#8221;Central value, dispersion, skewness and kurtosis&#8221; option4=&#8221;None of the above&#8221; correct=&#8221;option1&#8243;]<!--more--><\/p>\n<p>The correct answer is: <strong>A. Central value and dispersion<\/strong><\/p>\n<p>Central value is a measure of the location of the center of a data set. It can be the mean, median, or mode. Dispersion is a measure of the spread of the data around the central value. It can be the range, standard deviation, or variance.<\/p>\n<p>Central value and dispersion are the two most important characteristics of a data set. They can be used to distinguish one data set from another. For example, if we have two data sets, one with a mean of 5 and a standard deviation of 2, and the other with a mean of 10 and a standard deviation of 4, we can say that the first data set is more concentrated around the mean than the second data set.<\/p>\n<p>The other options are not as important as central value and dispersion. Skewness is a measure of the asymmetry of a data set. Kurtosis is a measure of the peakedness of a data set. These measures are not as useful for distinguishing one data set from another.<\/p>\n<p>In conclusion, the correct answer is: <strong>A. Central value and dispersion<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;Central value and dispersion&#8221; option2=&#8221;Central value, dispersion and skewness&#8221; option3=&#8221;Central value, dispersion, skewness and kurtosis&#8221; option4=&#8221;None of the above&#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":[701],"tags":[],"class_list":["post-33819","post","type-post","status-publish","format-standard","hentry","category-business-statistics-and-research-methods","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>Aset of data can be distinguished from other set of data by means of<\/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\/aset-of-data-can-be-distinguished-from-other-set-of-data-by-means-of\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Aset of data can be distinguished from other set of data by means of\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;Central value and dispersion&#8221; 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