{"id":234,"date":"2015-11-04T07:53:22","date_gmt":"2015-11-04T07:53:22","guid":{"rendered":"http:\/\/www.dissertationcanada.com\/blog\/?p=234"},"modified":"2016-05-12T07:09:42","modified_gmt":"2016-05-12T07:09:42","slug":"errors-affecting-data-analysis","status":"publish","type":"post","link":"https:\/\/www.dissertationcanada.com\/blog\/errors-affecting-data-analysis\/","title":{"rendered":"Errors Affecting Data Analysis"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"font-size: medium;\">Albert Einstein says, \u201cIf you can\u2019t explain it simply, you don\u2019t understand it well enough\u201d. Well! Einstein is not wrong in saying this. Getting the real quintessence of any figure and amplifying it is the basic constraint for a successful dissertation and its findings. Also, any violation in identifying figures will cause not only copious numbers of errors, but also all your effort will reduce to rubble, thus let\u2019s roll on our eyes on errors that can affect your data analysis \u2013 <\/span><!--more--><\/p>\n<ul style=\"text-align: justify;\">\n<li><span style=\"font-size: medium;\">Biased source \u2013 Source from where samples are collected can be biased and can reflect unfair data\u2019s. As, representative samples are an indispensable inevitability for true research, thus, unfair data\u2019s will never show the real result and all in turn shows inaccurate data- analysis. <\/span><\/li>\n<li><span style=\"font-size: medium;\">Methodological errors \u2013 There can be a list of methodological errors that can lead to off beam data-analysis \u2013 <\/span><\/li>\n<\/ul>\n<ul style=\"text-align: justify;\">\n<li><span style=\"font-size: medium;\">Application of wrong methods while calculating data\u2019s is the first and the most common slip-up when it comes to numeric computation.<\/span><\/li>\n<li><span style=\"font-size: medium;\">Lack of concentration can lead to wrong calculation and thus wrong result. <\/span><\/li>\n<li><span style=\"font-size: medium;\">Lack of knowledge and unawareness about different variables and factors to be included during statistical calculations also lead to wide of the mark data analysis. <\/span><\/li>\n<\/ul>\n<ul style=\"text-align: justify;\">\n<li><span style=\"font-size: medium;\">Interpretation error \u2013 Apart from source and methodological mistakes, interpretation errors are another point to consider. Gap between differences of assumed result and calculated statistical upshots are those that may lead to interpretation errors. Some scholars may set up their own assumed result, whereas others may blindly accept the calculated result without cross checking it. These sometime results in interpretation error. Measurement errors also may bias the covariance of two quantities towards the covariance in their error distribution. This variance diverges from the actual result and covariance may appear weaker or stronger at the end.<\/span><\/li>\n<\/ul>\n<p style=\"text-align: justify;\"><span style=\"font-size: medium;\">Thus, errors affect the data analysis and its result.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Albert Einstein says, \u201cIf you can\u2019t explain it simply, you don\u2019t understand it well enough\u201d. Well! Einstein is not wrong in saying this. Getting the real quintessence of any figure and amplifying it is the basic constraint for a successful dissertation and its findings. Also, any violation in identifying figures will cause not only copious [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[15],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Errors Affecting Data Analysis - Dissertation Canada<\/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:\/\/www.dissertationcanada.com\/blog\/errors-affecting-data-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Errors Affecting Data Analysis - Dissertation Canada\" \/>\n<meta property=\"og:description\" content=\"Albert Einstein says, \u201cIf you can\u2019t explain it simply, you don\u2019t understand it well enough\u201d. Well! Einstein is not wrong in saying this. Getting the real quintessence of any figure and amplifying it is the basic constraint for a successful dissertation and its findings. 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