Your Reliability Engineering Professional Development Site
Institute of Quality and Reliability (IQR) was established in Nov. 2005, with primary objective to help Industries for improving their quality and business performance. IQR also supports individuals aspiring to improve their knowledge and skills in Quality and Reliability.
This article series (videos) is dedicated to all those who want to learn and contribute to quality and reliability improvement to make this world better! Videos are created by Hemant Urdhwareshe and team. Hemant is a Fellow of American Society for Quality (ASQ) and is certified by ASQ as Six Sigma Master Black Belt, Reliability Engineer (CRE), Quality Manager (CMQ/OE) and Quality Engineer (CQE). He has 42 years of experience and wants to share his knowledge and experience with those who wish to acquire it!
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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Dear friends, we are happy to release this second video on Hypothesis Testing! In this video, Hemant Urdhwareshe explains One Sample t-test along with illustrations of Student’s t-distribution. Hemant has also explained the concept of degrees of freedom and p-value in this video.
We recommend viewers to watch Hypothesis Testing, Part-1 video before this video.
We are sure, you will find this useful!
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Dear friends, Our best wishes to all for a great Quality Month and Year Ahead for your Quality Initiatives! In this Quality Month, we are starting a new series of videos on Hypothesis Testing in our Channel! we are happy to release our first video on Hypothesis Testing! We will be releasing a complete series of videos on Hypothesis Tests! In this first video on the subject, Hemant Urdhwareshe explains the basic concepts and discusses an illustration of One-Sample Z-Test!
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Dear friends, we are happy to release this video on Acceptance Sampling plans for Attributes. In the video, Hemant Urdhwareshe explains how to select appropriate sample size using Sampling Plans such as MIL-STd-105E, ANSI/ASQ Z1.4, IS 2500 Part-1 (or ISO2959 -1). The video also explains interpretation of Operating Characteristics from the standards and in Microsoft Excel. Additionally, Hemant also illustrates how to generate a Sampling Plan in Minitab software.
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Dear friends, I am happy to share our first video on Quality Control Acceptance Sampling Plans! In this video, I have explained some basic concepts and terminology of sampling plans. I have also illustrated use of Microsoft Excel to construct Operating Characteristic Curve and AOQ Curve of a sampling plan It is not possible to inspect 100% parts received from suppliers. Obviously, processes need to be capable to produce consistently good quality parts that conform to the specifications. However, there are quite a few processes where the capabilities are either marginal or low. Also, controls at suppliers may not be adequate due to many reasons. Therefore there is still a need for statistical Acceptance Sampling Plans.
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Dear friends, I am happy to release this video on reliability analysis of life data with multiple failure modes. The analysis procedure is illustrated fully in Minitab software with a real-life case study with six failure modes. The concept is that when a system fails for one failure mode at time t, this data of time is right censored data for other failure modes! Analysis in Minitab can be performed in one single command!
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Dear Friends, I am happy to release this video on a very important and fundamental statistical concept of Central Limit Theorem (CLT). The CLT forms basic for statistical control charts, hypothesis tests, ANOVA etc. I am sure, you will find the video useful!
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Dear friends, In this video, Hemant Urdhwareshe explains the concepts of linearity, center point and orthogonality in Experimental Designs! The video is created to understand these concepts with simple illustrations! We are sure, you will find this video useful!
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Dear friends, Hemant Urdhwareshe explains concepts of statistical degrees of freedom and replication in Design of Experiments (DOE). Hope you find this interesting and useful.
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Dear friends, this video illustrates how to create and analyze a fractional factorial design using Minitab software with an application example. You can watch our other video on basic concepts in Fractional Factorial Designs: DOE-5: Fractional Factorial Designs, Confounding and Resolution Codes. You can watch all our videos on DOE by clicking here to see the playlist: DOE-2: Application of Design of Experiments. We hope you are finding our videos useful!
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Dear friends, many of you have requested for more videos about Design of Experiments. In this video, Hemant Urdhwareshe explains basic terms and definitions in DOE. These include OFAT vs DOE, Types of Factors, Levels, treatments, steps in DOE, nuisance or noise factors, blocking, randomization, covariates, etc. Hope you find this video useful to understand these basic concepts.
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Dear friends, some of the participants in our training programs requested me to make a video on how to use Excel to plot histograms and descriptive statistics using Analysis ToolPak. This video illustrates how to do this for a sample data of admit time of patients in a hospital. Hope you find this useful.
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