{"id":11320,"date":"2026-06-15T03:22:56","date_gmt":"2026-06-15T03:22:56","guid":{"rendered":"https:\/\/www.vedprep.com\/exams\/?p=11320"},"modified":"2026-06-15T03:22:56","modified_gmt":"2026-06-15T03:22:56","slug":"type-i-and-type-ii-errors","status":"publish","type":"post","link":"https:\/\/www.vedprep.com\/exams\/csir-net\/type-i-and-type-ii-errors\/","title":{"rendered":"Type I and Type II errors For CSIR NET"},"content":{"rendered":"<h1>Type I and Type II errors For CSIR NET: Understanding Hypothesis Testing<\/h1>\n<p><strong>Direct Answer: <\/strong>Type I and Type II errors For CSIR NET are false conclusions drawn from hypothesis testing, affecting exam scores. Understanding these errors and their implications is <em>critical <\/em>for students aiming to crack exams like CSIR NET and IIT JAM.<\/p>\n<h2>Syllabus &#8211; Probability and Statistics (CSIR NET, IIT JAM, CUET PG, GATE)<\/h2>\n<p>Probability and Statistics is a<em>re quired <\/em>unit in the CSIR NET and IIT JAM syllabus, also relevant for CUET PG and GATE exams. This unit falls under the <strong>Unit 4: Statistical Methods <\/strong>of the official CSIR NET syllabus. Understanding this unit is <em>necessary <\/em>for hypothesis testing, where concepts like <em>Type I and Type II errors For CSIR NET <\/em>are <em>crucial<\/em>.<\/p>\n<p>Key topics in this unit include probability theory, random variables, and statistical inference. Students are expected to be familiar with standard textbooks that cover these topics, such as <code>Probability and Statistics <\/code>by H. L. Royden and S. P. Singh. These textbooks provide a <em>detailed <\/em>introduction to probability and statistics, including hypothesis testing and errors, specifically <em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<p>Mastering Probability and Statistics enables students to tackle complex problems in data analysis and interpretation. It is a fundamental unit that<em>builds<\/em>a strong foundation for advanced statistical concepts.<\/p>\n<h2>Type I and Type II errors For CSIR NET<\/h2>\n<p>In statistical hypothesis testing, errors can occur when making conclusions about a population based on a sample of data. A <strong>Type I error <\/strong>occurs when a true null hypothesis is rejected, resulting in a false positive conclusion. This means that a difference or relationship is detected when, in fact, there is none.<\/p>\n<p>On the other hand, a <strong>Type II error <\/strong>occurs when a false null hypothesis is failed to be rejected, resulting in a false negative conclusion. This means that no difference or relationship is detected when, in fact, one exists. Understanding <em>Type I and Type II errors For CSIR NET <\/em>is <em>crucial <\/em>for accurate results in hypothesis testing.<\/p>\n<p>The consequences of these errors can be <em>significant<\/em>. A Type I error can lead to unnecessary actions or interventions, while a Type II error can lead to missed opportunities or incorrect conclusions.<\/p>\n<ul>\n<li>Type I error: False positive conclusion (rejecting a true null hypothesis)<\/li>\n<li>Type II error: False negative conclusion (failing to reject a false null hypothesis)<\/li>\n<\/ul>\n<p>To minimize these errors, researchers use techniques such as increasing sample size and choosing suitable significance levels. Researchers must consider <em>Type I and Type II errors For CSIR NET <\/em>when designing studies.<\/p>\n<h2>Worked Example: Type I and Type II errors For CSIR NET<\/h2>\n<p>A researcher is conducting a study to test the effectiveness of a new drug in reducing blood pressure. The null hypothesis (<em>H<\/em><sub>0<\/sub>) is that the new drug has no effect on blood pressure, while the alternative hypothesis (<em>H<\/em><sub>1<\/sub>) is that the new drug does reduce blood pressure.<\/p>\n<p>The researcher sets a significance level (<em>\u03b1<\/em>) of 0.05. If the<em>p<\/em>-value of the test is less than 0.05, the null hypothesis is rejected, and it is concluded that the new drug is effective in reducing blood pressure. A Type I error occurs when<em>H<\/em><sub>0<\/sub>is rejected when it is actually true.<\/p>\n<p><strong>Example: <\/strong>Suppose the new drug has no effect on blood pressure (<em>H<\/em><sub>0<\/sub>is true), but the test results in a<em>p<\/em>-value of 0.03. In this case, the null hypothesis is rejected, and a Type I error is committed.<\/p>\n<p>A Type II error occurs when<em>H<\/em><sub>0<\/sub>is not rejected when it is actually false. For instance, if the new drug does reduce blood pressure (<em>H<\/em><sub>1<\/sub>is true), but the test results in a<em>p<\/em>-value of 0.08, the null hypothesis is not rejected, and a Type II error is committed.<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"5\">\n<tbody>\n<tr>\n<th>Decision<\/th>\n<th><em>H<\/em><sub>0<\/sub>True<\/th>\n<th><em>H<\/em><sub>0<\/sub>False<\/th>\n<\/tr>\n<tr>\n<td>Reject<em>H<\/em><sub>0<\/sub><\/td>\n<td>Type I Error<\/td>\n<td>Correct Decision<\/td>\n<\/tr>\n<tr>\n<td>Fail to Reject<em>H<\/em><sub>0<\/sub><\/td>\n<td>Correct Decision<\/td>\n<td>Type II Error<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Understanding Type I and Type II errors For CSIR NET helps students make informed decisions in hypothesis testing and avoid potential errors in their conclusions.<\/p>\n<h2>Misconception: <a href=\"https:\/\/en.wikipedia.org\/wiki\/Type_I_and_type_II_errors\" rel=\"nofollow noopener\" target=\"_blank\">Type I and Type II errors<\/a> For CSIR NET are interchangeable<\/h2>\n<p>Students often assume that <strong>Type I <\/strong>and <strong>Type II errors <\/strong>are interchangeable terms. This understanding is incorrect. A <strong>Type I error <\/strong>occurs when a true null hypothesis is rejected, also known as a &#8220;false positive&#8221; finding. In contrast, a <strong>Type II error <\/strong>occurs when a false null hypothesis is not rejected, resulting in a &#8220;false negative&#8221; finding.<\/p>\n<p>The implications of these errors differ <em>significantly<\/em>. A <strong>Type I error <\/strong>can lead to unnecessary actions or interventions based on incorrect assumptions. On the other hand, a <strong>Type II error <\/strong>can result in missed opportunities or failure to address a significant issue. For instance, in medical testing, a <strong>Type I error <\/strong>might lead to treating a healthy individual, while a <strong>Type II error <\/strong>might lead to missing a real disease. Students must understand <em>Type I and Type II errors For CSIR NET <\/em>to accurately interpret statistical results.<\/p>\n<p>Students must understand the difference between <em>Type I and Type II errors For CSIR NET <\/em>to accurately interpret statistical results. The table below highlights the key differences:<\/p>\n<table>\n<tbody>\n<tr>\n<th>Error Type<\/th>\n<th>Null Hypothesis Status<\/th>\n<th>Decision<\/th>\n<th>Consequence<\/th>\n<\/tr>\n<tr>\n<td><strong>Type I<\/strong><\/td>\n<td>True<\/td>\n<td>Rejected<\/td>\n<td>False positive<\/td>\n<\/tr>\n<tr>\n<td><strong>Type II<\/strong><\/td>\n<td>False<\/td>\n<td>Not Rejected<\/td>\n<td>False negative<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>distinction between <strong>Type I and Type II errors <\/strong>is <em>decisive <\/em>for making informed decisions in hypothesis testing. By understanding these errors, students can better evaluate statistical results and minimize the risk of incorrect conclusions, particularly in the context of <em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<h2>Application: Real-World Implications of Type I and Type II errors For CSIR NET<\/h2>\n<p>Type I and Type II errors For CSIR NET have <em>serious <\/em>real-world implications, particularly in fields like medicine, quality control, and social sciences. A <strong>Type I error <\/strong>occurs when a true null hypothesis is rejected, while a <strong>Type II error <\/strong>occurs when a false null hypothesis is not rejected. Understanding these errors is <em>crucial <\/em>for making informed decisions, especially when considering <em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<p>In medical research, for instance, a Type I error might lead to the rejection of a potentially effective treatment, while a Type II error might result in the approval of an ineffective treatment. Researchers must carefully balance the risks of these errors to ensure the development of effective treatments, taking into account <em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<p>These errors also affect decision-making in quality control, where a Type I error might lead to the rejection of a good product, and a Type II error might result in the acceptance of a defective product. <em>Statisticians and researchers <\/em>use techniques like hypothesis testing and confidence intervals to minimize these errors, with a focus on <em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<p>Students preparing for CSIR NET, IIT JAM, and GATE must understand the implications of Type I and Type II errors For CSIR NET to apply their knowledge effectively in real-world scenarios. By grasping these concepts, they can make more informed decisions in their chosen fields, particularly when dealing with<em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<h2>Exam Strategy: Tips for Minimizing Type I and Type II errors For CSIR NET<\/h2>\n<p>Students can minimize <strong>Type I and Type II errors For CSIR NET <\/strong>by understanding the concept of hypothesis testing and its associated errors. A Type I error occurs when a true null hypothesis is rejected, while a Type II error occurs when a false null hypothesis is accepted. Familiarity with these concepts, specifically <em>Type I and Type II errors For CSIR NET<\/em>, is <em>necessary <\/em>for accurately answering statistical inference questions.<\/p>\n<p>Careful study and practice are essential for achieving accurate results. <em>Statistical inference <\/em>is a frequently tested subtopic in CSIR NET, IIT JAM, and GATE exams. Students should focus on practicing questions related to hypothesis testing, confidence intervals, and p-values, with an emphasis on <em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<p>VedPrep provides comprehensive study materials to help students prepare for exams like CSIR NET and IIT JAM. With expert guidance and well-structured study resources, students can develop a strong grasp of statistical concepts, including <strong>Type I and Type II errors For CSIR NET<\/strong>. By <em>employing <\/em>VedPrep&#8217;s resources, students can improve their problem-solving skills and boost their confidence in statistical inference related to <em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<p>Key subtopics to focus on include:<\/p>\n<ul>\n<li>Null and alternative hypotheses<\/li>\n<li>Test statistics and p-values<\/li>\n<li>Confidence intervals and error probabilities<\/li>\n<\/ul>\n<p>By mastering these concepts and practicing consistently, students can minimize errors and achieve success in their exams, particularly in questions related to<em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<h2>Reducing Type I and Type II errors For CSIR NET: Study Tips and Resources<\/h2>\n<p>Type I and Type II errors are <em>key <\/em>concepts in statistical hypothesis testing, frequently tested in CSIR NET, IIT JAM, and GATE exams. A <strong>Type I error <\/strong>occurs when a true null hypothesis is rejected, while a <strong>Type II error <\/strong>occurs when a false null hypothesis is not rejected. Understanding these concepts and their applications, specifically <em>Type I and Type II errors For CSIR NET<\/em>, is <em>essential <\/em>for making informed decisions in research and data analysis.<\/p>\n<p>To approach this topic, students should focus on the most frequently tested subtopics, including <em>hypothesis testing, confidence intervals, and statistical power related to Type I and Type II errors For CSIR NET<\/em>. A recommended study method involves starting with the basics of probability and statistics, then moving on to more advanced topics. VedPrep provides comprehensive study materials and practice questions, along with expert guidance to help students grasp these complex concepts, including <em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<p>Students can supplement their studies with online resources and textbooks, such as <code>statistical analysis software <\/code>and <em>statistical theory textbooks<\/em>. By combining these resources with VedPrep&#8217;s study materials, students can effectively reduce Type I and Type II errors For CSIR NET and improve their overall performance. A well-structured study plan and consistent practice are key to mastering these concepts and achieving success in the exams, especially when focusing on <em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<h2>Type I and Type II errors For CSIR NET<\/h2>\n<p>In statistical hypothesis testing, a <em>critical <\/em>aspect is the possibility of making errors. <strong>Type I error <\/strong>occurs when a true null hypothesis is rejected. This is also known as a &#8220;false positive&#8221; finding. The probability of making a Type I error is denoted by<em>\u03b1<\/em>(alpha), and understanding <em>Type I and Type II errors For CSIR NET <\/em>is <em>essential<\/em>.<\/p>\n<p>On the other hand, a <strong>Type II error <\/strong>occurs when a false null hypothesis is not rejected. This is also known as a &#8220;false negative&#8221; finding. The probability of making a Type II error is denoted by<em>\u03b2<\/em>(beta). Students must understand <em>Type I and Type II errors For CSIR NET <\/em>to accurately interpret results in exams like CSIR NET and IIT JAM.<\/p>\n<p>Understanding Type I and Type II errors For CSIR NET is <em>essential <\/em>for achieving success in these exams. Hypothesis testing is a <em>central <\/em>component of statistical analysis, and applying knowledge of <em>Type I and Type II errors For CSIR NET <\/em>is vital. A\u00a0<code>null hypothesis <\/code>is a statement of no effect or no difference, and researchers aim to reject or fail to reject it based on sample data.<\/p>\n<ul>\n<li>Type I error: Rejecting a true null hypothesis (false positive).<\/li>\n<li>Type II error: Failing to reject a false null hypothesis (false negative).<\/li>\n<\/ul>\n<p>By grasping these fundamental concepts, students can enhance their statistical analysis skills and perform well in CSIR NET and IIT JAM exams, particularly when dealing with<em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<h2>Conclusion: Mastering <strong>Type I and Type II errors For CSIR NET <\/strong>is Key to Success<\/h2>\n<p>Mastering <strong>Type I and Type II errors For CSIR NET <\/strong>is <em>essential <\/em>for success in exams like CSIR NET and IIT JAM. A <em>Type I error <\/em>occurs when a true null hypothesis is rejected, while a <em>Type II error <\/em>occurs when a false null hypothesis is not rejected. Understanding these concepts and applying them effectively, specifically <em>Type I and Type II errors For CSIR NET<\/em>, is <em>vital <\/em>for making accurate decisions in statistical hypothesis testing.<\/p>\n<p>Students must grasp the concept of <strong>Type I and Type II errors For CSIR NET <\/strong>to excel in their exams. A strong foundation in these topics enables students to analyze data, identify patterns, and make informed decisions, particularly when considering <em>Type I and Type II errors For CSIR NET<\/em>. <a href=\"https:\/\/www.vedprep.com\/\">VedPrep<\/a> provides comprehensive study materials, including detailed explanations, examples, and practice questions, to help students achieve their goals, with a focus on <em>Type I and Type II errors For CSIR NET<\/em>.<\/p>\n<p>VedPrep&#8217;s study materials are designed to help students develop a deep understanding of statistical concepts, including Type I and Type II errors. By mastering these topics, students can boost their confidence and perform well in their exams, especially when dealing with questions related to<em>Type I and Type II errors For CSIR NET<\/em>. With VedPrep&#8217;s support, students can overcome their weaknesses and achieve success in CSIR NET, IIT JAM, and other competitive exams.<\/p>\n<section class=\"vedprep-faq\">\n<h2>Frequently Asked Questions<\/h2>\n<h3>Core Understanding<\/h3>\n<div class=\"faq-item\">\n<h4>What are Type I and Type II errors?<\/h4>\n<p>Type I error occurs when a true null hypothesis is rejected, while Type II error occurs when a false null hypothesis is not rejected. These errors are crucial in statistical hypothesis testing.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>How are Type I and Type II errors related?<\/h4>\n<p>Type I and Type II errors are inversely related. As the probability of Type I error (\u03b1) increases, the probability of Type II error (\u03b2) decreases, and vice versa.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>What is the null hypothesis?<\/h4>\n<p>The null hypothesis is a statement of no effect or no difference. It is denoted by H0 and is tested against an alternative hypothesis (H1) in statistical hypothesis testing.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>What is the significance level?<\/h4>\n<p>The significance level, denoted by \u03b1, is the maximum probability of Type I error. It is set before conducting a test and is usually 0.05 or 0.01.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>What is the power of a test?<\/h4>\n<p>The power of a test is its ability to detect a false null hypothesis. It is 1 &#8211; \u03b2, where \u03b2 is the probability of Type II error.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>How do Type I and Type II errors impact research?<\/h4>\n<p>Type I and Type II errors can lead to incorrect conclusions in research. Type I errors can result in false positives, while Type II errors can result in false negatives, both of which can have serious consequences.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>What are the consequences of Type I and Type II errors?<\/h4>\n<p>Type I errors can lead to unnecessary interventions or actions, while Type II errors can lead to missed opportunities or failure to address a real effect.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>Can Type I and Type II errors occur together?<\/h4>\n<p>While Type I and Type II errors are mutually exclusive in a single test, they can occur together across multiple tests or studies.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>What role do prior probabilities play in Bayesian hypothesis testing?<\/h4>\n<p>Prior probabilities reflect initial beliefs about the hypotheses before observing the data and can influence the posterior probability of the hypotheses.<\/p>\n<\/div>\n<h3>Exam Application<\/h3>\n<div class=\"faq-item\">\n<h4>How are Type I and Type II errors tested in CSIR NET?<\/h4>\n<p>In CSIR NET, candidates are tested on their understanding of Type I and Type II errors through questions on statistical hypothesis testing, significance levels, and power of a test.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>What types of questions are asked about Type I and Type II errors in CSIR NET?<\/h4>\n<p>Questions may include identifying Type I and Type II errors, calculating probabilities of these errors, and interpreting results in the context of statistical hypothesis testing.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>How can I prepare for Type I and Type II error questions in CSIR NET?<\/h4>\n<p>Candidates can prepare by practicing statistical hypothesis testing problems, reviewing concepts of Type I and Type II errors, and familiarizing themselves with the exam format.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>How do I choose between a one-tailed and two-tailed test?<\/h4>\n<p>The choice between a one-tailed and two-tailed test depends on the research question and the direction of the effect being studied.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>How can I apply Type I and Type II error concepts to real-world problems?<\/h4>\n<p>Understanding Type I and Type II errors can help in making informed decisions in various fields, including medicine, social sciences, and business, by evaluating the risks of incorrect conclusions.<\/p>\n<\/div>\n<h3>Common Mistakes<\/h3>\n<div class=\"faq-item\">\n<h4>What are common mistakes in identifying Type I and Type II errors?<\/h4>\n<p>Common mistakes include confusing Type I and Type II errors, misinterpreting the null and alternative hypotheses, and incorrectly calculating probabilities of these errors.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>How can I avoid mistakes in Type I and Type II error problems?<\/h4>\n<p>To avoid mistakes, carefully read and understand the problem, clearly define the null and alternative hypotheses, and accurately calculate probabilities of Type I and Type II errors.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>What is the difference between a Type I error and a false positive?<\/h4>\n<p>A Type I error is the incorrect rejection of a true null hypothesis, which can result in a false positive finding.<\/p>\n<\/div>\n<h3>Advanced Concepts<\/h3>\n<div class=\"faq-item\">\n<h4>What is the relationship between Type I and Type II errors and sample size?<\/h4>\n<p>Increasing the sample size can decrease both Type I and Type II errors, but it also increases the cost and time required for the study.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>How do Type I and Type II errors relate to effect size?<\/h4>\n<p>A larger effect size can decrease the probability of Type II error, making it easier to detect a real effect, but it does not directly affect Type I error.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>What are some strategies for minimizing Type I and Type II errors?<\/h4>\n<p>Strategies include using appropriate sample sizes, selecting the correct significance level, and using techniques like Bonferroni correction for multiple testing.<\/p>\n<\/div>\n<div class=\"faq-item\">\n<h4>How do Bayesian methods approach Type I and Type II errors?<\/h4>\n<p>Bayesian methods provide an alternative approach to hypothesis testing, focusing on posterior probabilities rather than p-values and Type I error rates.<\/p>\n<\/div>\n<\/section>\n<p>https:\/\/www.youtube.com\/watch?v=B4SzJ-sOdbw<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Type I and Type II errors For CSIR NET are false conclusions drawn from hypothesis testing, affecting exam scores. Understanding these errors and their implications is critical for students aiming to crack exams like CSIR NET and IIT JAM. Probability and Statistics is a required unit in the CSIR NET and IIT JAM syllabus, also relevant for CUET PG and GATE exams.<\/p>\n","protected":false},"author":10,"featured_media":11319,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","rank_math_seo_score":90},"categories":[29],"tags":[2923,6378,6379,6380,2922],"class_list":["post-11320","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-csir-net","tag-competitive-exams","tag-type-i-and-type-ii-errors-for-csir-net","tag-type-i-and-type-ii-errors-for-csir-net-notes","tag-type-i-and-type-ii-errors-for-csir-net-questions","tag-vedprep","entry","has-media"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/posts\/11320","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/comments?post=11320"}],"version-history":[{"count":3,"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/posts\/11320\/revisions"}],"predecessor-version":[{"id":23075,"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/posts\/11320\/revisions\/23075"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/media\/11319"}],"wp:attachment":[{"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/media?parent=11320"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/categories?post=11320"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vedprep.com\/exams\/wp-json\/wp\/v2\/tags?post=11320"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}