The centreline (CL) on a Run Chart is the Median

Slides:

Advertisements

Similar presentations

Interpreting Run Charts and Shewhart Charts

Advertisements

Interpreting Run Charts and Shewhart Charts

Measurement for Improvement. Why we look at data graphed over time Change Made Change to process made in June.

1 Vol. 01. p Vol. 01. p Vol. 01. p.20.

6-1 Is Process Stable ? The Quality Improvement Model Use SPC to Maintain Current Process Collect & Interpret Data Select Measures Define Process Is Process.

Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall8-1 Chapter 8: Statistical Quality Control.

1. NAVIGATING/CRUISING IN WORKBOOK. 2. TIME & DATE FUNCTIONS.

1 Vol. 03. p Vol. 03. p Vol. 03. p.21.

1 Vol. 02. p Vol. 02. p Vol. 02. p.19.

1 Vol. 03. p Vol. 03. p Vol. 03. p.16.

1 Vol. 02. p Vol. 02. p Vol. 02. p.30.

1 Vol. 03. p Vol. 03. p Vol. 03. p.35.

1 Vol. 02. p Vol. 02. p Vol. 02. p.10.

1 Vol. 01. p Vol. 01. p Vol. 01. p.14.

Monitoring Improvement Using a Run Chart Priscilla Swanson, RN, CCM, CHC, CPHQ Nancy Siegel, MPH, PA-C June 10, 2013 QHOC meeting.

1 Financial Mathematics Clicker review session, Final.

I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=

I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=

T T20-06 Control Chart (with Runs Tests) Purpose Allows the analyst create and analyze a "Control Chart". A visual analysis of the control time.

Runcharts 101 Geoff Schierbeck Quality Leader Surgery BCPSQC.

Rev. 09/06/01SJSU Bus David Bentley1 Chapter 10 – Quality Control Control process, statistical process control (SPC): X-bar, R, p, c, process capability.

8/4/2015IENG 486: Statistical Quality & Process Control 1 IENG Lecture 16 P, NP, C, & U Control Charts (Attributes Charts)

Statistical Process Control (SPC) By Zaipul Anwar Business & Advanced Technology Centre, Universiti Teknologi Malaysia.

Solve for y when x = 1, 2, 3 and 4. 1.) y = x ) y = 5x 4 3.) y = 3x Solve for y when x is -2, -1, 0, 1. Patterns and Functions Day 2.

Case Study – Gumbel Distribution

Measurement and Data Display QA Residency 2 Melanie Rathgeber, Merge Consulting.

Nonparametric or Distribution-free Tests

Objective: Differentiate between metals, non- metals and metalloids in properties and in location on the periodic table Catalyst: Find the electron configuration.

14 Elements of Nonparametric Statistics

Understanding Variation in Your Charts Module 5. What is the state of Statistical Control? A stable mean over time with only random variation about that.

QuEST Mental Health Data for Improvement Network Run Charts Alison Pickering Senior Information Analyst.

Nonparametric Hypothesis tests The approach to explore the small-sized sample and the unspecified population.

Statistics for the Behavioral Sciences Second Edition Copyright © 2012 by Worth Publishers Susan A. Nolan and Thomas E. Heinzen Chapter 8 Confidence Intervals,

11/23/2015ENGM 720: Statistical Process Control1 ENGM Lecture 08 P, NP, C, & U Control Charts.

What is Your Data Telling You? Clara Ballantine, SIA Ontario Falls VLC Team Call January 11, 2011.

Acceptance Sampling Systems For Continuous Production and Variables

1 A Focus on Measurement Part II. 2 Objectives  Explain the difference between common cause and special cause variation  Explain the purpose of a run.

10 March 2016Materi ke-3 Lecture 3 Statistical Process Control Using Control Charts.

INTERPRETING CONTROL CHARTS Chapter 10. Random Distribution of Points Characteristics of a normally distributed random pattern of points includes:  The.

12 FURTHER MATHEMATICS Modelling growth and decay using recursion.

Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.

ПЕЧЕНЬ 9. Закладка печени в период эмбрионального развития.

Run Charts ﹝趨勢圖、推移圖﹞ 彰化基督教醫院陶阿倫部長.

and Statistics, 2016, Vol. 4, No. 1, 1-8. doi: /ajams-4-1-1

Bonds and Lewis Dot Structures

Scottish Improvement Skills

Theoretical Basis for Statistical Process Control (SPC)

Approaching NELA data.

Scottish Improvement Skills

10 Quality Control.

10 Quality Control.

Scottish Improvement Skills

QI Tools: Run Charts.

ФОНД ЗА РАЗВОЈ РЕПУБЛИКЕ СРБИЈЕ

QUALITY CONTROL AND QUALITY ASSURANCE (Contd.)

Process Capability Process capability For Variables

Statistics Process Control

مديريت موثر جلسات Running a Meeting that Works

Group Moving Average Template Instructions

'III \-\- I ', I ,, - -

Robert C. Lloyd, PhD Clinics in Perinatology

Objectives Discuss advantages of a control chart over a run chart Describe how to set limits and revise limits on a control chart.

Module 5 Part 2 Interpreting Baseline Data Using Run Charts

Chapter 7: Sampling and Sampling Distributions

Basic Training for Statistical Process Control

SPC (Statistical Process Control)

Run chart 1 shows medicines reconciliation initiation data collected monthly on ward A6 of hospital A between October 2013 (national roll-out of the Medication.

Compressive Strength difference at 1 week (MPa)

The rules of run chart for determining nonrandom change.

Presentation transcript:

The centreline (CL) on a Run Chart is the Median Elements of a Run Chart The centreline (CL) on a Run Chart is the Median Measure ~ X (CL) Time Four simple run rules are used to determine if special cause variation is present

Source: Swed, F. and Eisenhart, C Source: Swed, F. and Eisenhart, C. (1943) “Tables for Testing Randomness of Grouping in a Sequence of Alternatives.” Annals of Mathematical Statistics. Vol. XIV, pp. 66-87, Tables II and III.

Non-Random Rules for Run Charts A Shift: 6 or more A Trend 5 or more Too many or too few runs An astronomical data point Source: The Data Guide by L. Provost and S. Murray, Jossey-Bass Publishers, 2011.