The document analyzes student performance data from an engineering branch to identify factors affecting poor results in the Electrical Engineering subject. It begins by presenting the performance data in tables and charts. It then performs a root cause analysis using a cause-and-effect diagram to identify potential factors influencing results, categorizing them as controlled, noise, or critical factors. These include student attributes, teaching quality, infrastructure, and evaluation methods. Finally, it lists various assessment criteria such as attendance, test scores, assignments that could be further analyzed to understand performance. The aim is to identify actionable factors to improve academic excellence.
This document contains the results of a student opinion survey of teaching for three courses - CCS*3061, GER*1001, and GER*2001. It shows the percentage of students in each course that strongly disagreed, disagreed, were neutral, agreed, or strongly agreed with 22 statements about various aspects of the courses and instructors. Overall, most students agreed or strongly agreed that the instructors were effective teachers who clearly explained concepts and planned classes well, while showing enthusiasm and concern for students. A minority of students in CCS*3061 disagreed or were neutral on some questions.
The document describes an activity where students form a circle and are each assigned numbers. They then have to follow two different numbers while maintaining the same distance from them for 3-5 minutes. As the activity progresses, the circles get smaller. At the end, it's explained that this relates to how everyone has an impact on others, whether positive or negative, big or small.
UPT Perpustakaan, sebagai jantung informasi di Universitas Andalas terus melakukan pembenahan dan perbaikan. Perbaikan tersebut dimulai dari perbaikan fisik yang dilakukan bertahap dan terus menerus, upgrade sistem manajemen perpustakaan yang semakin terautomatisasi, termasuk penambahan jumlah koleksi bacaan yang sesuai dengan kebutuhan sivitas akademika Unand.
Selama tahun 2013, UPT Perpustakaan Universitas Andalas telah melakukan pengadaan koleksi berupa buku teks sebanyak 1.547 judul dengan jumlah total 9.032 eksemplar. Dana yang dikucurkan untuk pengadaan sebesar Rp 2,4 milyar yang bersumber dari Bantuan Operasional Perguruan Tinggi Negeri (BOPTN) Universitas Andalas.
Jumlah tersebut merupakan yang terbesar untuk pengadaan buku teks di Perpustakaan Unand dibanding tahun-tahun sebelumnya. Hal tersebut membuktikan perhatian dan keseriusan pimpinan universitas terhadap pengembangan Perpustakaan.
Penambahan koleksi perpustakaan merupakan salah satu upaya untuk mewujudkan perpustakaan sesuai “Standar Nasional Indonesia (SNI) 7330 : 2009 Bidang Perpustakaan dan Kepustakawanan Perguruan Tinggi”. Pemilihan judul buku dilakukan melalui permintaan daftar usulan buku yang dibutuhkan program studi dari berbagai Fakultas yang ada di lingkungan Universitas Andalas. Hal ini sesuai dengan aturan standar SNI yang mencantumkan bahwa dari segi koleksi, Perpustakaan perguruan tinggi menyediakan bahan bacaan mata kuliah yang ditawarkan di PT tersebut.
Perpustakaan PT juga harus menyediakan bahan bacaan wajib dan bahan bacaan pengaya. Jumlah penambahan koleksi sekurang-kurangnya 2% dari jumlah judul atau minimal dua ratus judul per tahun dipilih mana yang paling besar.
Saat ini, pemustaka telah dapat mengakses data buku tersebut di katalog daring Perpustakaan Unand: http://katalog.pustaka.unand.ac.id/.
sumber; http://pustaka.unand.ac.id
The document provides statistical analysis of marks data from 250 students of a class. It includes:
1) Calculation of measures of central tendency like arithmetic mean (39.4), median (41.27), and mode (41.23) from the raw marks data.
2) Construction of a frequency distribution table and associated graphs like bar graph and frequency polygon.
3) Calculation of measures of dispersion like variance (92.93) and standard deviation (9.64).
4) Mention of other statistical measures like skewness (-0.19553) and kurtosis to analyze the shape of the distribution.
This document provides attendance details for a Computer Networks Laboratory course with 41 faculty members and slots. It shows the total number of students registered for each slot, and categorizes the attendance percentages into 5 ranges: 0-20%, 21-50%, 51-65%, 66-75%, and above 75%. Over half (55.27%) of students had an attendance above 75%, while approximately 6-14% fell into each of the lower attendance ranges.
Role of technology to make teaching, learning & assessment convenientAshish Jain
This document discusses the role of technology in making teaching, learning, and assessment more convenient. It contains 13 sections that cover topics like how learning is transformed with new technologies, various teaching, learning and assessment tools, sample data from colleges used in a study, how different ranks are weighted for marks, contributions of individual factors to learning in two parts with charts, a list of individual learning factors with total scores, how performance is evaluated for technological vs traditional learning, the future of technological learning environments based on a survey, and various technological barriers identified in another survey.
- The document contains attendance and performance data from weekly tests in Class 12 Design, CLAT, JEE Physics and Chemistry subjects.
- In JEE Physics, the median score was 22 and the target was 17. The 80th percentile scores varied widely by district and week, from 7 to 80.
- In JEE Chemistry, the median score was lower at 9 and the target higher at 29. The 80th percentile scores also varied significantly.
- Overall attendance was high but performance varied, indicating the need for targeted intervention in lower performing districts and subjects.
This document summarizes an assessment test given to 30 tenth grade students to measure their reading comprehension skills. It includes specifications of the test purpose and language skills being tested. It provides details of test construction and administration, including scoring methods. Results include measures of central tendency, frequency distribution, reliability, validity, and difficulty level analysis. The test showed generally high scores with a mean of 71.8, and high reliability and validity. Item difficulty levels ranged from easy to difficult.
This document contains the results of a student opinion survey of teaching for three courses - CCS*3061, GER*1001, and GER*2001. It shows the percentage of students in each course that strongly disagreed, disagreed, were neutral, agreed, or strongly agreed with 22 statements about various aspects of the courses and instructors. Overall, most students agreed or strongly agreed that the instructors were effective teachers who clearly explained concepts and planned classes well, while showing enthusiasm and concern for students. A minority of students in CCS*3061 disagreed or were neutral on some questions.
The document describes an activity where students form a circle and are each assigned numbers. They then have to follow two different numbers while maintaining the same distance from them for 3-5 minutes. As the activity progresses, the circles get smaller. At the end, it's explained that this relates to how everyone has an impact on others, whether positive or negative, big or small.
UPT Perpustakaan, sebagai jantung informasi di Universitas Andalas terus melakukan pembenahan dan perbaikan. Perbaikan tersebut dimulai dari perbaikan fisik yang dilakukan bertahap dan terus menerus, upgrade sistem manajemen perpustakaan yang semakin terautomatisasi, termasuk penambahan jumlah koleksi bacaan yang sesuai dengan kebutuhan sivitas akademika Unand.
Selama tahun 2013, UPT Perpustakaan Universitas Andalas telah melakukan pengadaan koleksi berupa buku teks sebanyak 1.547 judul dengan jumlah total 9.032 eksemplar. Dana yang dikucurkan untuk pengadaan sebesar Rp 2,4 milyar yang bersumber dari Bantuan Operasional Perguruan Tinggi Negeri (BOPTN) Universitas Andalas.
Jumlah tersebut merupakan yang terbesar untuk pengadaan buku teks di Perpustakaan Unand dibanding tahun-tahun sebelumnya. Hal tersebut membuktikan perhatian dan keseriusan pimpinan universitas terhadap pengembangan Perpustakaan.
Penambahan koleksi perpustakaan merupakan salah satu upaya untuk mewujudkan perpustakaan sesuai “Standar Nasional Indonesia (SNI) 7330 : 2009 Bidang Perpustakaan dan Kepustakawanan Perguruan Tinggi”. Pemilihan judul buku dilakukan melalui permintaan daftar usulan buku yang dibutuhkan program studi dari berbagai Fakultas yang ada di lingkungan Universitas Andalas. Hal ini sesuai dengan aturan standar SNI yang mencantumkan bahwa dari segi koleksi, Perpustakaan perguruan tinggi menyediakan bahan bacaan mata kuliah yang ditawarkan di PT tersebut.
Perpustakaan PT juga harus menyediakan bahan bacaan wajib dan bahan bacaan pengaya. Jumlah penambahan koleksi sekurang-kurangnya 2% dari jumlah judul atau minimal dua ratus judul per tahun dipilih mana yang paling besar.
Saat ini, pemustaka telah dapat mengakses data buku tersebut di katalog daring Perpustakaan Unand: http://katalog.pustaka.unand.ac.id/.
sumber; http://pustaka.unand.ac.id
The document provides statistical analysis of marks data from 250 students of a class. It includes:
1) Calculation of measures of central tendency like arithmetic mean (39.4), median (41.27), and mode (41.23) from the raw marks data.
2) Construction of a frequency distribution table and associated graphs like bar graph and frequency polygon.
3) Calculation of measures of dispersion like variance (92.93) and standard deviation (9.64).
4) Mention of other statistical measures like skewness (-0.19553) and kurtosis to analyze the shape of the distribution.
This document provides attendance details for a Computer Networks Laboratory course with 41 faculty members and slots. It shows the total number of students registered for each slot, and categorizes the attendance percentages into 5 ranges: 0-20%, 21-50%, 51-65%, 66-75%, and above 75%. Over half (55.27%) of students had an attendance above 75%, while approximately 6-14% fell into each of the lower attendance ranges.
Role of technology to make teaching, learning & assessment convenientAshish Jain
This document discusses the role of technology in making teaching, learning, and assessment more convenient. It contains 13 sections that cover topics like how learning is transformed with new technologies, various teaching, learning and assessment tools, sample data from colleges used in a study, how different ranks are weighted for marks, contributions of individual factors to learning in two parts with charts, a list of individual learning factors with total scores, how performance is evaluated for technological vs traditional learning, the future of technological learning environments based on a survey, and various technological barriers identified in another survey.
- The document contains attendance and performance data from weekly tests in Class 12 Design, CLAT, JEE Physics and Chemistry subjects.
- In JEE Physics, the median score was 22 and the target was 17. The 80th percentile scores varied widely by district and week, from 7 to 80.
- In JEE Chemistry, the median score was lower at 9 and the target higher at 29. The 80th percentile scores also varied significantly.
- Overall attendance was high but performance varied, indicating the need for targeted intervention in lower performing districts and subjects.
This document summarizes an assessment test given to 30 tenth grade students to measure their reading comprehension skills. It includes specifications of the test purpose and language skills being tested. It provides details of test construction and administration, including scoring methods. Results include measures of central tendency, frequency distribution, reliability, validity, and difficulty level analysis. The test showed generally high scores with a mean of 71.8, and high reliability and validity. Item difficulty levels ranged from easy to difficult.
This academic record summarizes the results for Koh Chee P'ng, student number 15103046, who completed a Bachelor of Engineering (Chemical Engineering) with First Class Honours. It details the units completed between 2010-2014, including course codes, titles, credits, grades, and marks. It also notes the student's course weighted average of 77.28, academic status of good standing, and date the course was completed as 17-Jul-2014.
This item analysis summarizes test results for a Science 10 class of 131 students. It identifies the most learned and least learned competencies based on student performance on individual test items. The most learned competency was enumerating evidence for plate tectonics, while the least learned competencies involved describing plate boundaries and processes. Overall, 58% of students achieved or exceeded the minimum proficiency level on the test.
The document provides information about the JEE-Main 2014 exam, including statistics, dates, and analysis. Over 13.5 lakh applicants applied throughout India, with 1.22 lakh from Andhra Pradesh. The exam was offered online on various dates in April 2014 and in various offline centers across cities in India in May 2014. A detailed analysis of the exam difficulty level by topic is provided for physics, chemistry, and mathematics. State board and CBSE board syllabi are also analyzed topic-wise.
This document contains course evaluations for MIS4330.5U1.13U - Systems Analysis and Design taught in the 2013 Summer term. Based on a 5-point Likert scale, students generally found the course objectives to be clearly defined (average rating of 3.17) and the course to be well organized (average rating of 3.5). The instructor, Anwesha Bhattacharjee, received above average ratings across categories and an overall excellent rating of 4.0. Students also felt their performance was evaluated fairly (average of 3.91) and that the course inspired them to learn more (average of 3.42).
This document contains course evaluations for MIS4330.5U1.13U - Systems Analysis and Design taught in the 2013 Summer term. Based on a 5-point Likert scale, students generally found the course objectives to be clearly defined (average rating of 3.17) and the course to be well organized (average rating of 3.5). The instructor, Anwesha Bhattacharjee, received above average ratings across categories and an overall excellent rating of 4.0. Students also felt their performance was evaluated fairly (average of 3.91) and that the course inspired them to learn more (average of 3.42).
This document provides an overview of relational database concepts including the relational model, domain constraints, key constraints, referential integrity constraints, data types, operators, functions and more. It uses examples like the Student relation to illustrate domain and key constraints. Logical, comparison and arithmetic operators are defined. Common SQL functions for date, numeric, and string conversions are also listed. Contact information is provided at the end for any additional queries.
Distinguish between Parameter and Statistic.
Calculate sample variance and sample standard deviation.
Visit the website for more services: https://cristinamontenegro92.wixsite.com/onevs
This academic record summarizes Dylan Williams' results for the Bachelor of Engineering degree at the University. It shows that in semester 1 of 2014, Dylan passed two courses but failed Engineering Mathematics. In semester 2, Dylan passed five courses including Engineering Mathematics, achieving a course weighted average of 65.06 and remaining in good academic standing. The record reflects results as on the university's student records system.
2016-17_BE Electronics Engineering-Course Book 2016 RCOEM.pdfMarshalsubash
The document provides details about the Department of Electronics Engineering at Shri Ramdeobaba College of Engineering and Management in Nagpur, India. It includes information about the department's establishment, accreditation, programs offered, vision, mission, facilities, teaching scheme and syllabus for the Bachelor of Engineering in Electronics Engineering program. The department aims to provide state-of-the-art technical education and facilitate research in electronics engineering. It has 15 labs with over Rs. 2 crores invested in equipment and software. The teaching scheme outlines the courses, credits and examination scheme for each semester of the 4-year B.E. Electronics Engineering program.
This document contains the results of a survey about lecturer quality and service at a university. It includes:
- An introduction to the survey about evaluating important elements like a lecturer's teaching delivery to students.
- The survey method involved distributing questionnaires to get responses without needing an interviewer present for efficiency.
- The survey results in a table showing responses about Satisfaction (S), Knowledge (KK), Attitude (J), and Teaching Performance (TP).
- Charts show the percentage of responses for categories like Tangible, Reliability, Responsiveness, Assurance, and Empathy variables.
- It concludes by asking for conclusions and suggestions based on the survey results.
Presentation of result Analysis for 25.1.2012.pptxSrini Vasan
The document provides a summary of university exam results for civil engineering students from Dr. MAHALINGAM COLLEGE OF ENGINEERING AND TECHNOLOGY for the years 2010, 2009, and 2008. It analyzes pass percentages by subject, compares results to previous years, and identifies students with multiple failures. Overall pass percentages were 61.43% for 2010, 78.78% for 2009, and 68.18% for 2008. Results were also compared to a neighboring college, finding MCET performed similarly or slightly better across subjects and years.
1. The document provides examples and exercises on different sampling techniques including simple random sampling, systematic random sampling, stratified sampling, and cluster sampling.
2. It also covers topics in biostatistics like measures of central tendency, measures of dispersion, normal distribution, t-test, and the effect of phototherapy on bilirubin levels in jaundiced newborns.
3. The exercises are answered step-by-step showing calculations and analyses conducted in Excel and SPSS to test hypotheses and determine if means are significantly different between groups.
Dialog prestasi upsr 2015 dan penentuan tov & etr upsr 2016habibah yusoff
1. The document analyzes student achievement data from several national examinations in Malaysia from 2012-2016, including UPSR (primary school exam), PMR (lower secondary exam), and SPM (upper secondary exam).
2. It shows data on the percentages of students who achieved distinctions, passes, and failures for various subjects like English, math, and science. Overall pass rates were between 80-100% for most exams and years.
3. Graphs analyze trends over time, identifying sometimes increasing and sometimes decreasing performance in different subjects and exam types from year to year. Achievement generally remained high but declined slightly for some newer exam formats.
Mangalore University Library Orientation 2010badamikk
This document provides an overview of the library at Mangalore University. It includes sections on the entrance, catalogues, reading areas, collections, services and facilities. Statistics are given on the library's budget, collections, members and usage of databases. Charts show the university's research output, publications of top Indian universities and Mangalore University's rankings and citation metrics compared to other universities.
This document contains a summary of survey results for teacher Theo Economos for the 2015-2016 school year. It shows the teacher's ratings on a 4-point scale for 20 different standards related to instructional practice, differentiation, learning environment, and academic challenge. For each standard, it provides the percentage of students who strongly agreed, agreed, disagreed, or strongly disagreed as well as the mean rating for the individual teacher, school, district, and state. Overall, the teacher received above average ratings across all standards compared to other teachers in the school, district, and state.
NPTEL is the National Coordinator for Engineering MOOCs on the SWAYAM platform. It offers online courses from top IITs and other institutions. Some key points:
- Over 3,496 courses have been completed so far across various disciplines. The majority are from IIT Madras and Kanpur.
- Courses have proctored final exams available in over 170 cities for certification. Certificates are e-verifiable with QR codes.
- Passing requires an average assignment score of over 10/25 and exam score over 30/75, with an overall score of 40+. Certificate levels are based on final scores.
- Over 98,000 students have registered for exams.
9 2016 ncae results - national career assessment examinationjhaymz02
The document provides results from the 2015 National Career Assessment Examination (NCAE) in the Philippines. It shows the number of examinees that took the exam from public and private schools. It also outlines the mean performance scores in various domains like General Scholastic Aptitude, Technical-Vocational Aptitude, and Non-Verbal Ability. The results are broken down by aptitude level and region. The document also examines students' immediate plans after graduating junior high school and their performance in occupational interest inventories.
This document contains survey results for teacher Theonomos evaluating their instructional practice in grades 9-12. It summarizes the results of 15 student surveys across 4 standards of instructional practice. Overall, the majority of students either agreed or strongly agreed that Theonomos met most standards, with mean scores ranging from 2.47 to 2.58 out of 3. Theonomos' scores were higher than the school, district and state averages for all standards.
OCCUPATIONAL SAFETY AND RISK ASSESSMENT OF HUMAN BEINGS IN MANUFACTURING INDU...Mohammad Wasi
This document is a project report submitted for the partial fulfillment of a Bachelor of Engineering degree. It examines occupational safety and risk assessment of human beings working in manufacturing industries. The report was conducted under the guidance of a professor in the Mechanical Engineering department. It includes an abstract, introduction on risk assessment and occupational safety, literature review, research methodology, company profile, questionnaires, analysis of questionnaire responses, results, conclusions and future scope. The overall aim is to assess risks to workers in manufacturing and identify appropriate control measures to improve occupational safety.
The document is a dissertation report submitted by Parmod Kumar that examines the behavioural analysis of P22 and P91 steels after TIG welding and post weld heat treatment (PWHT) processes. It includes an introduction to the materials, literature review on welding of P22 and P91 steels, identified research gaps, methodology adopted for the experimental plan, findings from the experiments, results and discussion, and plans for future work. The experimental plan involves TIG welding of P22 and P91 steel samples, analyzing hardness and microstructure after welding, conducting PWHT at varying hold times, and assessing the impact of PWHT on hardness and microstructure.
This document presents a SWOT analysis comparing the strengths and weaknesses of different quality strategies, including JIT, Lean, LSS, Six Sigma, TQM, and others. Tables of data on strengths and weaknesses are provided. Statistical analyses were conducted to determine if there are significant differences in the means for strengths and weaknesses among the different methods. Both analyses found significant differences, indicating at least one method has a mean strength or weakness that is different from the others.
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Similar to Benchmarking academics through sustainable assessment criteria
This academic record summarizes the results for Koh Chee P'ng, student number 15103046, who completed a Bachelor of Engineering (Chemical Engineering) with First Class Honours. It details the units completed between 2010-2014, including course codes, titles, credits, grades, and marks. It also notes the student's course weighted average of 77.28, academic status of good standing, and date the course was completed as 17-Jul-2014.
This item analysis summarizes test results for a Science 10 class of 131 students. It identifies the most learned and least learned competencies based on student performance on individual test items. The most learned competency was enumerating evidence for plate tectonics, while the least learned competencies involved describing plate boundaries and processes. Overall, 58% of students achieved or exceeded the minimum proficiency level on the test.
The document provides information about the JEE-Main 2014 exam, including statistics, dates, and analysis. Over 13.5 lakh applicants applied throughout India, with 1.22 lakh from Andhra Pradesh. The exam was offered online on various dates in April 2014 and in various offline centers across cities in India in May 2014. A detailed analysis of the exam difficulty level by topic is provided for physics, chemistry, and mathematics. State board and CBSE board syllabi are also analyzed topic-wise.
This document contains course evaluations for MIS4330.5U1.13U - Systems Analysis and Design taught in the 2013 Summer term. Based on a 5-point Likert scale, students generally found the course objectives to be clearly defined (average rating of 3.17) and the course to be well organized (average rating of 3.5). The instructor, Anwesha Bhattacharjee, received above average ratings across categories and an overall excellent rating of 4.0. Students also felt their performance was evaluated fairly (average of 3.91) and that the course inspired them to learn more (average of 3.42).
This document contains course evaluations for MIS4330.5U1.13U - Systems Analysis and Design taught in the 2013 Summer term. Based on a 5-point Likert scale, students generally found the course objectives to be clearly defined (average rating of 3.17) and the course to be well organized (average rating of 3.5). The instructor, Anwesha Bhattacharjee, received above average ratings across categories and an overall excellent rating of 4.0. Students also felt their performance was evaluated fairly (average of 3.91) and that the course inspired them to learn more (average of 3.42).
This document provides an overview of relational database concepts including the relational model, domain constraints, key constraints, referential integrity constraints, data types, operators, functions and more. It uses examples like the Student relation to illustrate domain and key constraints. Logical, comparison and arithmetic operators are defined. Common SQL functions for date, numeric, and string conversions are also listed. Contact information is provided at the end for any additional queries.
Distinguish between Parameter and Statistic.
Calculate sample variance and sample standard deviation.
Visit the website for more services: https://cristinamontenegro92.wixsite.com/onevs
This academic record summarizes Dylan Williams' results for the Bachelor of Engineering degree at the University. It shows that in semester 1 of 2014, Dylan passed two courses but failed Engineering Mathematics. In semester 2, Dylan passed five courses including Engineering Mathematics, achieving a course weighted average of 65.06 and remaining in good academic standing. The record reflects results as on the university's student records system.
2016-17_BE Electronics Engineering-Course Book 2016 RCOEM.pdfMarshalsubash
The document provides details about the Department of Electronics Engineering at Shri Ramdeobaba College of Engineering and Management in Nagpur, India. It includes information about the department's establishment, accreditation, programs offered, vision, mission, facilities, teaching scheme and syllabus for the Bachelor of Engineering in Electronics Engineering program. The department aims to provide state-of-the-art technical education and facilitate research in electronics engineering. It has 15 labs with over Rs. 2 crores invested in equipment and software. The teaching scheme outlines the courses, credits and examination scheme for each semester of the 4-year B.E. Electronics Engineering program.
This document contains the results of a survey about lecturer quality and service at a university. It includes:
- An introduction to the survey about evaluating important elements like a lecturer's teaching delivery to students.
- The survey method involved distributing questionnaires to get responses without needing an interviewer present for efficiency.
- The survey results in a table showing responses about Satisfaction (S), Knowledge (KK), Attitude (J), and Teaching Performance (TP).
- Charts show the percentage of responses for categories like Tangible, Reliability, Responsiveness, Assurance, and Empathy variables.
- It concludes by asking for conclusions and suggestions based on the survey results.
Presentation of result Analysis for 25.1.2012.pptxSrini Vasan
The document provides a summary of university exam results for civil engineering students from Dr. MAHALINGAM COLLEGE OF ENGINEERING AND TECHNOLOGY for the years 2010, 2009, and 2008. It analyzes pass percentages by subject, compares results to previous years, and identifies students with multiple failures. Overall pass percentages were 61.43% for 2010, 78.78% for 2009, and 68.18% for 2008. Results were also compared to a neighboring college, finding MCET performed similarly or slightly better across subjects and years.
1. The document provides examples and exercises on different sampling techniques including simple random sampling, systematic random sampling, stratified sampling, and cluster sampling.
2. It also covers topics in biostatistics like measures of central tendency, measures of dispersion, normal distribution, t-test, and the effect of phototherapy on bilirubin levels in jaundiced newborns.
3. The exercises are answered step-by-step showing calculations and analyses conducted in Excel and SPSS to test hypotheses and determine if means are significantly different between groups.
Dialog prestasi upsr 2015 dan penentuan tov & etr upsr 2016habibah yusoff
1. The document analyzes student achievement data from several national examinations in Malaysia from 2012-2016, including UPSR (primary school exam), PMR (lower secondary exam), and SPM (upper secondary exam).
2. It shows data on the percentages of students who achieved distinctions, passes, and failures for various subjects like English, math, and science. Overall pass rates were between 80-100% for most exams and years.
3. Graphs analyze trends over time, identifying sometimes increasing and sometimes decreasing performance in different subjects and exam types from year to year. Achievement generally remained high but declined slightly for some newer exam formats.
Mangalore University Library Orientation 2010badamikk
This document provides an overview of the library at Mangalore University. It includes sections on the entrance, catalogues, reading areas, collections, services and facilities. Statistics are given on the library's budget, collections, members and usage of databases. Charts show the university's research output, publications of top Indian universities and Mangalore University's rankings and citation metrics compared to other universities.
This document contains a summary of survey results for teacher Theo Economos for the 2015-2016 school year. It shows the teacher's ratings on a 4-point scale for 20 different standards related to instructional practice, differentiation, learning environment, and academic challenge. For each standard, it provides the percentage of students who strongly agreed, agreed, disagreed, or strongly disagreed as well as the mean rating for the individual teacher, school, district, and state. Overall, the teacher received above average ratings across all standards compared to other teachers in the school, district, and state.
NPTEL is the National Coordinator for Engineering MOOCs on the SWAYAM platform. It offers online courses from top IITs and other institutions. Some key points:
- Over 3,496 courses have been completed so far across various disciplines. The majority are from IIT Madras and Kanpur.
- Courses have proctored final exams available in over 170 cities for certification. Certificates are e-verifiable with QR codes.
- Passing requires an average assignment score of over 10/25 and exam score over 30/75, with an overall score of 40+. Certificate levels are based on final scores.
- Over 98,000 students have registered for exams.
9 2016 ncae results - national career assessment examinationjhaymz02
The document provides results from the 2015 National Career Assessment Examination (NCAE) in the Philippines. It shows the number of examinees that took the exam from public and private schools. It also outlines the mean performance scores in various domains like General Scholastic Aptitude, Technical-Vocational Aptitude, and Non-Verbal Ability. The results are broken down by aptitude level and region. The document also examines students' immediate plans after graduating junior high school and their performance in occupational interest inventories.
This document contains survey results for teacher Theonomos evaluating their instructional practice in grades 9-12. It summarizes the results of 15 student surveys across 4 standards of instructional practice. Overall, the majority of students either agreed or strongly agreed that Theonomos met most standards, with mean scores ranging from 2.47 to 2.58 out of 3. Theonomos' scores were higher than the school, district and state averages for all standards.
OCCUPATIONAL SAFETY AND RISK ASSESSMENT OF HUMAN BEINGS IN MANUFACTURING INDU...Mohammad Wasi
This document is a project report submitted for the partial fulfillment of a Bachelor of Engineering degree. It examines occupational safety and risk assessment of human beings working in manufacturing industries. The report was conducted under the guidance of a professor in the Mechanical Engineering department. It includes an abstract, introduction on risk assessment and occupational safety, literature review, research methodology, company profile, questionnaires, analysis of questionnaire responses, results, conclusions and future scope. The overall aim is to assess risks to workers in manufacturing and identify appropriate control measures to improve occupational safety.
Similar to Benchmarking academics through sustainable assessment criteria (20)
The document is a dissertation report submitted by Parmod Kumar that examines the behavioural analysis of P22 and P91 steels after TIG welding and post weld heat treatment (PWHT) processes. It includes an introduction to the materials, literature review on welding of P22 and P91 steels, identified research gaps, methodology adopted for the experimental plan, findings from the experiments, results and discussion, and plans for future work. The experimental plan involves TIG welding of P22 and P91 steel samples, analyzing hardness and microstructure after welding, conducting PWHT at varying hold times, and assessing the impact of PWHT on hardness and microstructure.
This document presents a SWOT analysis comparing the strengths and weaknesses of different quality strategies, including JIT, Lean, LSS, Six Sigma, TQM, and others. Tables of data on strengths and weaknesses are provided. Statistical analyses were conducted to determine if there are significant differences in the means for strengths and weaknesses among the different methods. Both analyses found significant differences, indicating at least one method has a mean strength or weakness that is different from the others.
The document discusses multi response optimization of friction stir welding (FSW) parameters for aluminum alloy AA6105 using the Taguchi method. It first provides background on welding processes including FSW. It then discusses factors that affect FSW quality like rotational speed, welding speed, and tilt angle. The document proposes using an L9 orthogonal array experiment with three control factors and mechanical properties and microstructure as response variables. The methodology involves conducting experiments, applying Taguchi analysis and ANOVA to optimize parameters for properties like tensile strength and hardness. The research aims to minimize defects and improve joint quality of AA6105. Equipment for FSW and response testing is also detailed.
The document proposes optimizing the mechanical properties of AA1100 metal matrix composites (MMCs) through mixture design of experiments (DoE). AA1100 alloy will be reinforced with silicon, copper and magnesium particles via stir casting. Response variables like hardness and compressive strength will be measured. Mixture DoE will then be used to optimize compositional and process parameters like percentage of reinforcements, stirring speed and time to achieve the required mechanical property ranges for car bodies. The methodology involves preparing composite samples, testing them, and analyzing the results to optimize the formulation and processing of AA1100 MMCs.
This document provides a synopsis for a presentation on integrating Lean Six Sigma and Industry 4.0 tools to manage quality in the Indian textile industry. It includes an introduction, literature review, identified research gaps, problem formulation, research objectives, proposed methodology, and research plan. The proposed methodology involves developing an integrated Lean Six Sigma and Industry 4.0 model called LSS 4.0 to address limitations of existing quality management techniques and help textile SMEs improve operational performance. A case study would validate and test the LSS 4.0 model in an Indian textile company. The research is expected to take 38 months to complete.
This document describes a project to reduce scrap rates in piston casting at a foundry from 7% to 2% over 4 months using optimization techniques. The foundry casts pistons for Tata trucks. Testing of process parameters like cooling time, gate size, water temperature and metal temperature identified relationships to reduce scrap. Statistical modeling determined the optimal settings were a cooling time of 47 seconds, gate size of 132 mm^2, water temperature of 32°C and metal temperature of 792°C to minimize scrap to an estimated 5.28%. The document recommends applying fuzzy logic, genetic algorithms or artificial intelligence to further improve the optimization model.
This document describes a study conducted to analyze factors that affect student admission rates at engineering institutes. A quantitative strategy called Box-Behnken design was used to examine the effects of 9 factors and their interactions on student response percentage. Statistical analysis found that brand name, location, fees, placement percentage, and certifications had significant positive effects, while factors like location and fees had negative effects. Response surface methodology and contour plots are presented to show relationships between factors and student response. The analysis provides insights for engineering institutes to optimize admission rates.
0000. the blockchain-revolution-an-analysis-of-regulation-and-technoloDr. Bikram Jit Singh
This document provides an overview of blockchain technology and its potential applications and regulatory landscape. It defines key concepts like distributed ledger technology and differentiates digital currencies from blockchain. Blockchain allows for the decentralized verification and recording of transactions through a peer-to-peer network. The technology has applications beyond digital currencies, including for smart contracts that can automate transactions. Regulators globally are assessing how to oversee blockchain to support innovation while mitigating risks.
The document summarizes the application of Six Sigma's DMAIC approach to improve the process capability of PVC pipe extrusion. It analyzes critical process parameters like feeder RPM, barrel zone temperatures, die zone temperatures, and haul off RPM using tools like correlation, regression, ANOVA, and t-tests. Significant parameters identified are feeder RPM, BZ3T, DZ2T, and DZ3T. The document proposes using Taguchi's method of parametric optimization to improve the process by setting control factor levels for the significant parameters.
This document discusses measurement system analysis (MSA), which is used to evaluate statistical properties of process measurement systems. MSA determines if current measurement systems provide representative, unbiased and minimal variability measurements. The document outlines the MSA process, including preparing for a study, evaluating stability, accuracy, precision, linearity, and repeatability and reproducibility. Accuracy looks at bias while precision considers repeatability and reproducibility. MSA is required for certification and helps identify process variation sources and minimize defects.
The document discusses methods to enhance RAM (reliability, availability, maintainability) of systems. It provides a regression equation that models availability percentage as a function of reliability and maintainability percentages, based on analysis of data from different machines. Various graphs and statistical analyses are also presented to compare mean time between failures (MTBF) of the machines and identify differences between them.
Tensile strength and hardness tests were conducted on aluminum alloy welded specimens using a UTM and Vickers hardness tester located at CITCO, IDFC, Chandigarh. The tensile test used an UTM machine to apply loads to specimens based on ASTM standards and record the stress-strain curves to evaluate tensile strength and elongation. Hardness tests used a Vickers hardness tester to indent specimens with a 1 kgf load and record the impression values to determine material hardness. Test certificates in the appendices provide hardness and tensile strength data for the base aluminum alloys and welded samples tested.
This document discusses measurement system analysis (MSA) and gauge repeatability and reproducibility (R&R) studies. MSA is used to evaluate different aspects of a measurement system like bias, linearity, stability, repeatability and reproducibility. R&R studies focus specifically on repeatability and reproducibility. Key terms are defined, including bias, repeatability, reproducibility, stability, linearity, attribute R&R parameters like effectiveness, misses, false alarms, and bias, and how to analyze variable measurement data using analysis of variance. Guidelines for acceptable levels of R&R parameters are also provided.
Keywords: six sigma; foundry SMEs; small and medium-sized enterprises; design of experiments; DOE; measurement system analysis; MSA; failure mode and effects analysis; FMEA; non-conforming products; cost of poor quality; hypothesis testing; defects per million opportunities; DPMO; process capability; DMAICS; analysis of variance; ANOVA; India; make-to-order foundries; scrap reduction; productivity.
Keywords: six sigma, DMAIC project, scrap, rework, analysis of variance, ANOVA, design of experiments, DOE, process audit sheets, India, foundries, foundry industry, SMEs, small and medium–sized enterprises, die casting
The document summarizes research on optimizing machining parameters for CNC turning of aluminum alloy 7020 using Response Surface Methodology (RSM). It provides background on CNC turning, tool materials, workpiece material (Al 7020), and machining parameters to be optimized (cutting speed, feed rate, depth of cut). The document also reviews previous literature on optimizing machining parameters for aluminum alloys and describes the methodology used in the present study.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
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Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Benchmarking academics through sustainable assessment criteria
1. Six Sigma’s Statistical Approach to Draw Inferences for Academic
Excellence : A Case of an Engineering Branch
By
Dr. Bikram Jit Singh
Professor
MMDU, Mullana
9. 544536271890-9
LSL (24 Marks) USL (60 Marks)
Total N 53
Subgroup size 1
Mean 9.4151
StDev (overall) 7.6270
StDev (within) 7.7571
Process Characterization
Cp 0.77
Cpk -0.63
Z.Bench -1.88
% Out of spec (expected) 97.00
PPM (DPMO) (expected) 969960
Actual (overall)
Pp 0.79
Ppk -0.64
Z.Bench -1.91
% Out of spec (observed) 90.57
% Out of spec (expected) 97.21
PPM (DPMO) (observed) 905660
PPM (DPMO) (expected) 972080
Potential (within)
Capability Statistics
3
9
25
9
10
0
0
0
30
15
Capability Histogram
Are the data inside the limits?
Actual (overall) capability is what the customer experiences.
shifts and drifts were eliminated.
Potential (within) capability is what could be achieved if process
Capability Analysis for Electrical E
Process Performance Report
Distribution of Marks in External of EE Subject
10. 60
HighLow
Z.Bench = -1.91
544536271890-9
LSL USL
Actual (overall) capability is what the customer experiences.
spec limits.
percentage of parts from the process that are outside the
-- The defect rate is 97.21%, which estimates the
Conclusions
Upper Spec 60
Target *
Lower Spec 24
Customer Requirements
Mean 9.4151
Standard deviation 7.6270
Actual (overall) capability
Pp 0.79
Ppk -0.64
Z.Bench -1.91
% Out of spec 97.21
PPM (DPMO) 972080
Process Characterization
Actual (overall) Capability
Are the data inside the limits?
Comments
Capability Analysis for Electrical E
Summary Report
How capable is the process?
Conclusion from EE Result
12. Comparison of Internal and External Marks in EE Subject
4035302520151050-5
4035302520151050-5
35
30
25
20
15
10
5
0
-5
-10
35
30
25
20
15
10
5
0
-5
-10
Internal marks
Externalmarks Scatterplot of External marks vs Internal marks
Pearson Correlation in between External marks and Internal marks is 0.761
It implies Internal marks secured by students are strongly influencing the
performance in end semester exams. Hence “Internal Criteria of giving Marks” is
highly related with External result. It must be optimized (factors affecting
external result more, should have high weightages in terms of marks) to further
lure and motivate the students for good result in External exams…..
13. 1st
(12 marks)
2nd
(12 marks)
1 75114029 Mandeep Sood 37 12 8 6 7 18 37
2 75114041 Raj Kumar Munda 68 19 5 7 6 18 43
3 75114050 Sanjeet 69 19 10 6 8 20 47
4 75114052 Shabbar Hussain Khan 0 0 0 0 0 0 0
5 75114053 Shahid Ansari 82 24 11 9 10 22 56
TOTAL
(60 marks)
MAHARISHI MARKANDESHWAR UNIVERSITY,SADOPUR(AMBALA)
Subject Name: Sem & Branch: Session: Subject Code:
S.No. ROLL NO. NAME % Lab Attd
Attd. Marks
(40%)
(24 marks)
Viva Voice
Avg. Viva
Marks
(20%)
(12 marks)
Practical File
(40%)
(24 marks)
INTERNAL CRITERIA FOR PRACTICALS
Subject Name: Electrical Engg. Sem & Branch: 1st A group Subject Code: EE-101
1st 2nd 3rd
1 75114001 Abhinav Das 50 10 2 a 0 1 3 14
2 75114002 Achhru Kant 81 16 14 15 14 6 6 28
3 75114003 Alok Kumar 77 14 13 10 0 3 6 23
4 75114004 Amit Kanga 77 14 27 25 25 10 6 30
5 75114005 Amit Kumar Singh 88 16 13 21 10 6 2 24
MAHARISHI MARKANDESHWAR UNIVERSITY,SADOPUR(AMBALA)
Mid Term Tests
TOTAL (40 marks)
CLASS WORK
(Assignments/
Tutorials)
(20%)
(8 marks)
Best of two
AVG MARKS
(40%)
(16 marks)
Attd.
Marks
(40%)
(16 marks)
% Lecture
Attendance
NAMEROLL NO.S.No.
INTERNAL MARKS CRITERIA FOR THEORY
15. Root Cause Analysis of Poor Result in EE
Result
Poor
Motivation
Material
Attendance
Evaluation
Method
Infra structure
Personnel
Instructors
Quality of Teachers
IQ Level of Students
Library with study Room
Sports Facilities
Extra Curricular Activities
Labs with Equipments
Tutorial Rooms
Class Rooms
College Campus
Lectures
Guest or Expert
Audio-Visual Aids
Studies with
Experimental
Communication
Effective
Interaction
Student-Teacher
Students
Listening Skills of
Teaching Style
Practicals or Lab work
Class Room Behaviour
Assignments / Tutorials
Quiz and surprise Tests
Mid Semester Tests
Sports Activities
Attendance in
Extra Curricular
Attendance in
Lab work
Attendance in
MST Attendance
Attendance
Lecture / Tutorial
Self Study Hours
Material
Out of Syllabus Teaching
Lecture Notes
Old Edition Books /
Free Lectures
Policies
Management
Workmanship
Lab Instructors's
Students Interest
Willingness
Teacher's
Cause-and-Effect Diagram
16. Controlled Factors Noise Factors Critical Factors
1. IQ Level of Students
2. Quality of Teachers
3. Instructors
4. College Campus
5. Class Rooms
6. Tutorial Rooms
7. Labs with Equipments
8. Library with study Room
9. Student-Teacher Interaction
10. Effective Communication
11. Experimental Studies with theory
12. Audio-Visual Aids
13. Guest or Expert Lectures
14. Old Edition Books / Lecture Notes
15. Out of Syllabus Teaching Material
16. Self Study Hours
17. Free Lectures
18. Extra Curriculum Activities
1. Teaching Style
2. Listening Skills of Students
3. Student-Teacher Interaction
4. Effective Communication
5. Quiz and surprise Tests
6. Attendance in Extra
7. Curricular Activities
8. Attendance in Sports Activities
9. Teacher's Willingness
10. Students Interest
11. Lab Instructors's Workmanship
12. Management Policies
- MST Attendance
- Lecture Attendance
- Lab Attendance
- MST-1
- MST-2
- MST-3
- Assignments /
Tutorials
- Practical Files
- Viva-Voice during
Practicals
Brainstorming Session (without ignoring the real constraints)
25. Group Name Critical Factors Tool / Technique
Used
Attendance MST Attendance Multi- Regression
AnalysisLecture Attendance
Lab Attendance
Mid Semester Tests MST-1 One Way ANOVA for
inter MST analysis
and then
Orthogonal
Regression for
average MST marks
MST-2
MST-3
Written & Oral
Submissions
Assignments/
Tutorials
Stepwise Regression
(Backward Step
Method)
Practical Files
Viva-Voice
Analytical Plan
28. Regression Analysis: External Reslt Vs MST Attd., Lecture & Lab Attd.
Predictor Coef SE Coef T P
Constant -10.482 4.365 -2.40 0.020
MST Attendance 0.07080 0.04808 1.47 0.048
Lecture Attendance 0.22756 0.08185 2.78 0.008
Lab Attendance -0.03769 0.05680 -0.66 0.510
S = 6.36405 R-Sq = 33.0% R-Sq(adj) = 28.7%
Analysis of Variance
Source DF SS MS F P
Regression 3 937.07 312.36 7.71 0.000
Residual Error 47 1903.55 40.50
Total 50 2840.63
29. Attendance is statistically significant (p < 0.05).
The relationship between External Result and MST
> 0.50.10.050
NoYes
P = 0.001
accounted for by the regression model.
17.39% of the variation in External Result can be
100%0%
R-sq (adj) = 17.39%
increase.
MST Attendance increases, External Result also tends to
The positive correlation (r = 0.44) indicates that when
10-1
0.44
1007550250
30
20
10
0
MST Attendance
ExternalResult
causes Y.
A statistically significant relationship does not imply that X
a desired value or range of values for External Result.
or find the settings for MST Attendance that correspond to
to predict External Result for a value of MST Attendance,
If the model fits the data well, this equation can be used
Y = - 3.268 + 0.1490 X
relationship between Y and X is:
The fitted equation for the linear model that describes the
Y: External Result
X: MST Attendance
Is there a relationship between Y and X?
Fitted Line Plot for Linear Model
Y = - 3.268 + 0.1490 X
Comments
Regression for External Result vs MST Attendance
Summary Report
% of variation accounted for by model
Correlation between Y and X
Negative No correlation Positive
30. Attendance is statistically significant (p < 0.05).
The relationship between External Result and Lecture
> 0.50.10.050
NoYes
P = 0.000
accounted for by the regression model.
27.79% of the variation in External Result can be
100%0%
R-sq (adj) = 27.79%
to increase.
Lecture Attendance increases, External Result also tends
The positive correlation (r = 0.54) indicates that when
10-1
0.54
1007550250
30
20
10
0
Lecture Attendance
ExternalResult
causes Y.
A statistically significant relationship does not imply that X
External Result.
that correspond to a desired value or range of values for
Attendance, or find the settings for Lecture Attendance
to predict External Result for a value of Lecture
If the model fits the data well, this equation can be used
Y = - 7.791 + 0.2426 X
relationship between Y and X is:
The fitted equation for the linear model that describes the
Y: External Result
X: Lecture Attendance
Is there a relationship between Y and X?
Fitted Line Plot for Linear Model
Y = - 7.791 + 0.2426 X
Comments
Regression for External Result vs Lecture Attendance
Summary Report
% of variation accounted for by model
Correlation between Y and X
Negative No correlation Positive
31. Attendance is statistically significant (p < 0.05).
The relationship between External Result and Lab
> 0.50.10.050
NoYes
P = 0.024
accounted for by the regression model.
8.17% of the variation in External Result can be
100%0%
R-sq (adj) = 8.17%
increase.
Lab Attendance increases, External Result also tends to
The positive correlation (r = 0.32) indicates that when
10-1
0.32
806040200
30
20
10
0
Lab Attendance
ExternalResult
causes Y.
A statistically significant relationship does not imply that X
desired value or range of values for External Result.
find the settings for Lab Attendance that correspond to a
to predict External Result for a value of Lab Attendance, or
If the model fits the data well, this equation can be used
Y = 2.821 + 0.1084 X
relationship between Y and X is:
The fitted equation for the linear model that describes the
Y: External Result
X: Lab Attendance
Is there a relationship between Y and X?
Fitted Line Plot for Linear Model
Y = 2.821 + 0.1084 X
Comments
Regression for External Result vs Lab Attendance
Summary Report
% of variation accounted for by model
Correlation between Y and X
Negative No correlation Positive
37. Orthogonal Regression Analysis: External marks versus MST Marks
Error Variance Ratio (External marks/MST Marks): 1.42
Coefficients
Predictor Coef SE Coef Z P Approx 95% CI
Constant -5.46468 2.14562 -2.5469 0.011 (-9.67001, -1.25935)
MST Marks 2.21093 0.28104 7.8668 0.000 ( 1.66009, 2.76176)
Error Variances
Variable Variance
External marks 7.43182
MST Marks 5.23368