{"id":324,"date":"2020-01-08T05:52:26","date_gmt":"2020-01-08T05:52:26","guid":{"rendered":"https:\/\/bcisnotes.com\/thirdsemester\/?p=324"},"modified":"2020-02-19T06:45:12","modified_gmt":"2020-02-19T06:45:12","slug":"arithmetic-mean-measures-of-central-tendency-bcis-notes","status":"publish","type":"post","link":"https:\/\/bcisnotes.com\/thirdsemester\/business-statistics\/arithmetic-mean-measures-of-central-tendency-bcis-notes\/","title":{"rendered":"Arithmetic Mean || Describing Data: Summary Measures || Bcis Notes"},"content":{"rendered":"<h3>Arithmetic Mean<\/h3>\n<p>A simple mean of a set of observations is the sum of all observations divided by the number of observations. \u00a0The arithmetic mean is used frequently in many diverse fields such as economics,\u00a0anthropology, and\u00a0history, and it is used in almost every academic field to some extent.<\/p>\n<h5><span style=\"text-decoration: underline;\">For Individual Series,<\/span><\/h5>\n<p>Let x1, x2, &#8230; , xn be the &#8216;N&#8217; number of observations then mean is denoted by\u00a0 \u00a0<img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/1.png\" alt=\"Arithmetic Mean\" width=\"25\" height=\"27\" \/><\/p>\n<pre><span style=\"text-decoration: underline;\">Direct Method\r\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/Capture-2.png\" alt=\"Direct Method for Arithmetic Mean\" width=\"128\" height=\"94\" \/>\r\nShort-cut Method<\/span><\/pre>\n<pre> <img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/Capture-1.png\" alt=\"Short-cut Method for Arithmetic Mean\" width=\"159\" height=\"83\" \/>\r\n\r\n\r\n  \r\n\r\nwhere,\r\nd = X-A\r\nA = Assumed Mean    \r\n   <span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-19\" class=\"msubsup\"><span id=\"MathJax-Span-21\" class=\"texatom\"><span id=\"MathJax-Span-22\" class=\"mrow\"><span id=\"MathJax-Span-23\" class=\"mi\"><\/span><\/span><\/span><\/span><\/span>\r\n<\/pre>\n<h5><span style=\"text-decoration: underline;\">For Discrete Series,<\/span><\/h5>\n<p>Let x1, x2, &#8230; , xn be the &#8216;N&#8217; number of observations with their respective frequencies f1, f2, &#8230; , fn then their mean is denoted by X and is given by:<\/p>\n<p><span style=\"text-decoration: underline;\">Direct Method<\/span><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/Capture-3.png\" alt=\"Direct Method for Discrete Series\" width=\"128\" height=\"94\" \/><br \/>\n<span style=\"text-decoration: underline;\">Shortcut Method<\/span><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/Capture-4.png\" alt=\"Short-cut Method for Discrete Series\" width=\"149\" height=\"72\" \/><\/p>\n<h5><span style=\"text-decoration: underline;\">For Continuous Series,<\/span><\/h5>\n<p>The formula for calculating the value of arithmetic mean in continuous series is the same as in the case of discrete series only the difference is that &#8216;x&#8217; be the mid-value of the corresponding class in corresponding class in continuous series.<\/p>\n<p><span style=\"text-decoration: underline;\">Direct Method<\/span><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/Capture-3.png\" alt=\"Direct Method for Discrete Series\" width=\"128\" height=\"94\" \/><br \/>\n<span style=\"text-decoration: underline;\">Shortcut Method\u00a0<\/span><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/Capture-5.png\" alt=\"Short-cut Method for Continuous Series\" width=\"154\" height=\"77\" \/><\/p>\n<p><span style=\"text-decoration: underline;\">Step-deviation Method<\/span><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/Capture-6.png\" alt=\"Step deviation Method for Continuous Series\" width=\"176\" height=\"63\" \/><\/p>\n<h4>Properties of Arithmetic Mean<\/h4>\n<p>1. The solution to the deviation of the items taken from their arithmetic mean is zero.<\/p>\n<p>ie. <img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/Capture-7.png\" alt=\"Continuous Series of Mean\" width=\"146\" height=\"63\" \/><\/p>\n<p>2. The sum of the square of deviation of the items taken from their arithmetic mean is minimum.<\/p>\n<p>ie. <img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/Capture-8.png\" alt=\"Continuous Series of Mean\" width=\"177\" height=\"34\" \/><\/p>\n<p>3. Let X1 be the mean of &#8216;n1&#8217; number of observations and X2 be the mean of &#8216;n2&#8217; number of observations than their combined mean is denoted by X12 and is given by:<\/p>\n<p>ie. <img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/Capture-9.png\" alt=\"Continuous series of Mean\" width=\"177\" height=\"34\" \/><\/p>\n<h4>Weighted Mean<\/h4>\n<p>Let W1, W2, &#8230;, Wn be the weight to the variant values X1, X2, &#8230;, Xn then their weighted mean is denoted by <img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-494\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/vme_img_22012020_124927.png\" alt=\"Mean\" width=\"31\" height=\"25\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-492 alignleft\" src=\"https:\/\/bcisnotes.com\/thirdsemester\/wp-content\/uploads\/2020\/01\/vme_img_22012020_124342.png\" alt=\"Weighted Mean\" width=\"196\" height=\"68\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>You may also like:\u00a0<a href=\"https:\/\/bcisnotes.com\/thirdsemester\/business-statistics\/range-quartile-deviation-and-standard-deviation-measures-of-dispersion-bcis-notes\/\" target=\"_blank\" rel=\"noopener noreferrer\">Range, Quartile Deviation, and Standard Deviation || Measures of Dispersion\u00a0<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<div class=\"mh-excerpt\"><p>Arithmetic Mean A simple mean of a set of observations is the sum of all observations divided by the number of observations. \u00a0The arithmetic mean <a class=\"mh-excerpt-more\" href=\"https:\/\/bcisnotes.com\/thirdsemester\/business-statistics\/arithmetic-mean-measures-of-central-tendency-bcis-notes\/\" title=\"Arithmetic Mean || Describing Data: Summary Measures || Bcis Notes\">[&#8230;]<\/a><\/p>\n<\/div>","protected":false},"author":4,"featured_media":344,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Arithmetic Mean || Measures of Central Tendency || Bcis Notes<\/title>\n<meta name=\"description\" content=\"Arithmetic Mean is a simple mean of a set of observations is the sum of all observations divided by the number of observations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bcisnotes.com\/thirdsemester\/business-statistics\/arithmetic-mean-measures-of-central-tendency-bcis-notes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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