Institute of Quality & Reliability

Dear friends, This is Hemant Urdhwareshe! I am uploading this video, which is different from our other videos! In this video, I have explained the “Confusion Matrix” and related terms such as Sensitivity, Specificity, Accuracy with reference to RT-PCR Test to detect Covid-19 infection. I and my son were isolated for Covid-19 as I was detected Covid-19 positive before my return travel and then isolated for about a fortnight in Egypt! This video is a result of my experience and review of travel rules! I am sure you will find this interesting and thought-provoking!

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Concepts and Application with Minitab Software

Institute of Quality and Reliability is happy to release this video on Power and Sample Size in the context of hypothesis testing. The video also contains application examples of power and sample size calculation for one-sample z-test using Minitab software.

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Dear friends, I am happy to release our 59th video on Exponential Distribution! Exponential Distribution is an appropriate mathematical model when failure or hazard rate is constant. It is often known as “Memoryless” as reliability in any time interval is same! Exponential Distribution has many applications in Reliability Engineering such as electronic components. Many reliability procedures in MIL Standards assume constant failure rate and Exponential Distribution! Hope you find the video interesting and useful! Your feedback is welcome! Do subscribe to our channel to get updates on our new videos and programs!

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Dear All, This is our fourth video on Accelerated Life Testing (ALT). Some of the viewers had requested for procedure to determine the Activation Energy used in Arrhenius Model. This video explains experimental procedure to determine Activation Energy. Hope you find this useful! If you like the video, click on the “Thumbs-up icon” and subscribe to our channel for more videos on Quality and Reliability!

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Institute of Quality and Reliability is happy to release this second video on ANOVA! Viewers need to watch our video ANOVA Part-1 before watching this video. In this video, Hemant Urdhwareshe explains One-way ANOVA calculations using Sum of Squares on Excel. Hemant is a Fellow of ASQ and is certified by ASQ as Six Sigma Master Black Belt, CQE, CRE and CMQ/OE.

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Institute of Quality and Reliability (IQR) is happy to release this first video on Analysis of Variance (ANOVA). In this video, Hemant Urdhwareshe, Director of IQR and Fellow of ASQ, explains basic concepts of ANOVA and F-test of equal variances.

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Dear friends, we are happy to release this seventh video in our series on hypothesis testing. In this video, Hemant Urdhwareshe explains the applicability of proportion tests, procedure to perform these tests and interpretation of results. The concept is explained with application examples. Do let us know your feedback and subscribe if you like!

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Dear friends, we are happy to released this sixth video in our series on hypothesis testing! In tis video Hemant Urdhwareshe has explained procedure to perform chi-square test in case of contingency tables. Our objective is to compare different groups to assess whether these are independent or related.

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Dear friends, we are happy to released this fifth video in our series on Hypothesis Testing! In this video, Hemant Urdhwareshe explains the applicability of Chi-square test of one variance with an illustration! Hemant is Fellow of ASQ and is one of the few Certified Six Sigma Master Black Belts from ASQ having six certifications from ASQ.

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Dear friends, we are happy to release our fourth video in our series on Hypothesis Testing! In this video, Hemant Urdhwareshe explains the application of Student’s t-test for paired t-test using tables of t-distribution and using Microsoft Excel Add-ins. The concept is illustrated with an application example of comparing assessment of answer papers by two professors!

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Dear friends, we are happy to release our third video in our series on Hypothesis Testing! In this video, Hemant Urdhwareshe explains the application of Student’s t-test for comparison of two independent samples using tables of t-distribution and also using Microsoft Excel Add-ins. The concept is illustrated with an application example of comparing tire life of two makes.

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