T20-03 - 1 T20-03 P Chart Control Limit Calculations Purpose Allows the analyst to calculate the proportion "P-Chart" 3-sigma control limits. Inputs Sample.

Slides:



Advertisements
Similar presentations
Statistical Process Control
Advertisements

ArrivalsServiceWaiting line Exit Processing order System Queuing Systems: basic elements.
Quality Assurance (Quality Control)
1 © The McGraw-Hill Companies, Inc., 2006 McGraw-Hill/Irwin Technical Note 9 Process Capability and Statistical Quality Control.
To Accompany Russell and Taylor, Operations Management, 4th Edition,  2003 Prentice-Hall, Inc. All rights reserved. Chapter 15 Statistical Quality Control.
1 DSCI 3123 Statistical Process Control Take periodic samples from a process Plot the sample points on a control chart Determine if the process is within.
Copyright 2006 John Wiley & Sons, Inc. Beni Asllani University of Tennessee at Chattanooga Statistical Process Control Operations Management - 5 th Edition.
Statistical Process Control. 4-2 Lecture Outline  Basics of Statistical Process Control  Control Charts  Control Charts for Attributes  Control Charts.
Nursing Home Falls Control Chart Problem Statement: Assume that following data were obtained about number of falls in a Nursing Home facility. Produce.
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall8-1 Chapter 8: Statistical Quality Control.
Peta Kontrol (data Atribute). Peta Kontrol ( data atribute ) Attribute control charts arise when items are compared with some standard and then are.
T T06-02 Normal & Standard Normal Templates Purpose T06-02 is an all in one template combining the features of the two templates T06-02.N and.
T T18-03 Exponential Smoothing Forecast Purpose Allows the analyst to create and analyze the "Exponential Smoothing Average" forecast. The MAD.
Copyright 2006 John Wiley & Sons, Inc. Beni Asllani University of Tennessee at Chattanooga Statistical Process Control Operations Management - 5 th Edition.
originally developed by Walter A. Shewhart
T T20-01 Mean Chart (Known Variation) CL Calculations Purpose Allows the analyst calculate the "Mean Chart" for known variation 3-sigma control.
T T02-06 Histogram (6 SD) Purpose Allows the analyst to analyze quantitative data by summarizing it in sorted format, scattergram by observation,
CHAPTER 8TN Process Capability and Statistical Quality Control
T T Population Sampling Distribution Purpose Allows the analyst to determine the mean and standard deviation of a sampling distribution.
T T20-05 Forecast Control Limit Calculations Purpose Allows the analyst to calculate the “Forecast Control Chart” 3-sigma control limits based.
T T18-04 Linear Trend Forecast Purpose Allows the analyst to create and analyze the "Linear Trend" forecast. The MAD and MSE for the forecast.
Irwin/McGraw-Hill 1 TN7: Basic Forms of Statistical Sampling for Quality Control Acceptance Sampling: Sampling to accept or reject the immediate lot of.
T T18-05 Trend Adjusted Exponential Smoothing Forecast Purpose Allows the analyst to create and analyze the "Trend Adjusted Exponential Smoothing"
ESAP T T02-01 Quick Graphs (Line Plot, Bar Graph, Pie Chart) Purpose Allows the analyst to create line plots, bar graphs and pie charts from data,
T T07-01 Sample Size Effect – Normal Distribution Purpose Allows the analyst to analyze the effect that sample size has on a sampling distribution.
T T02-04 Histogram (User Selected Classes) Purpose Allows the analyst to analyze quantitative data by summarizing it in sorted format, scattergram.
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.
T T Population Variance Confidence Intervals Purpose Allows the analyst to analyze the population confidence interval for the variance.
T T18-09 Line Plot (by Observation) Purpose Allows the analyst to visually analyze up to 5 time series plots on a single graph data samples by.
T T20-00 Range Chart Control Limit Calculations Purpose Allows the analyst to calculate the "Range Chart" 3- sigma control limits based on table.
Control Charts are tools for tracking variation based on the principles of probability and statistics SPC: Statistical Process Control.
T T18-06 Seasonal Relatives Purpose Allows the analyst to create and analyze the "Seasonal Relatives" for a time series. A graphical display of.
1 Doing Statistics for Business Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer Chapter 16 Improving.
Significance Tests for Proportions Presentation 9.2.
10-1 McGraw-Hill Ryerson Operations Management, 2 nd Canadian Edition, by Stevenson & Hojati Copyright © 2004 by The McGraw-Hill Companies, Inc. All rights.
10-1 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved.
Process Capability and SPC
Welcome to MM305 Unit 8 Seminar Prof Greg Statistical Quality Control.
Process Capability and SPC
Control Charts.
T T20-04 C Chart Control Limit Calculations Purpose Allows the analyst to calculate the defectives per unit "C-Chart" 3-sigma control limits.
T T03-01 Calculate Descriptive Statistics Purpose Allows the analyst to analyze quantitative data by summarizing it in sorted format, scattergram.
Managing Quality CHAPTER SIX McGraw-Hill/Irwin Statistical Process control.
By: Samah Tout and Bing Liu Team Potassium Sigma Nov. 20,2007.
Statistical Process Control
Statistical Quality Control/Statistical Process Control
T06-02.S - 1 T06-02.S Standard Normal Distribution Graphical Purpose Allows the analyst to analyze the Standard Normal Probability Distribution. Probability.
Statistical Quality Control
T T Population Confidence Intervals Purpose Allows the analyst to analyze the difference of 2 population means and proportions for sample.
1 Six Sigma Green Belt Introduction to Control Charts Sigma Quality Management.
T T Population Sample Size Calculations Purpose Allows the analyst to analyze the sample size necessary to conduct "statistically significant"
T T18-07 Seasonally Adjusted Linear Trend Forecast Purpose Allows the analyst to create and analyze a "Seasonally Adjusted Linear Trend" forecast.
1 Slides used in class may be different from slides in student pack Technical Note 8 Process Capability and Statistical Quality Control  Process Variation.
Return To Index Excel Microsoft Excel Basics Lesson 13 Working With Built In Functions Descriptive StatisticsDescriptive Statistics - 2 Excel Built.
SESSION 39 & 40 Last Update 11 th May 2011 Continuous Probability Distributions.
Using Total Quality Management Tools to Improve the Quality of Crash Data John Woosley Louisiana State University.
Quality Control  Statistical Process Control (SPC)
T T Population Hypothesis Tests Purpose Allows the analyst to analyze the results of hypothesis testing of the difference of 2 population.
T T14-01 XY Scattergram with Prediction Line Purpose Allows the analyst to visually analyze an XY Scattergram with the superimposed "Least Squares.
T T05-01 Binomial Distribution Purpose Allows the analyst to analyze a Binomial Distribution with up to 50 trials. Probability Scenario's, Expected.
T T05-02 Poisson Distribution Purpose Allows the analyst to analyze a Poisson Distribution. Probability Scenario's, Expected Value, Variance and.
T T18-02 Weighted Moving Average Forecast Purpose Allows the analyst to create and analyze the "Weighted Moving Average" forecast for up to 5.
X AND R CHART EXAMPLE IN-CLASS EXERCISE
Variable Control Charts
P-Chart Farrokh Alemi, Ph.D..
Control Charts - SPC Types of Control Charts:
Statistics for Business and Economics
T18-08 Calculate MAD, MSE Purpose Allows the analyst to create and analyze the MAD and MSE for a forecast. A graphical representation of history and.
Lab 6 TA: Dorji Pelzom.
T20-02 Mean Chart (Unknown Variation) CL Calculations
Presentation transcript:

T T20-03 P Chart Control Limit Calculations Purpose Allows the analyst to calculate the proportion "P-Chart" 3-sigma control limits. Inputs Sample Size Centerline (Phat) Outputs P (Proportion) Control Chart LCL & UCL

T The P-Chart measures the proportions in a process. The Proportion Chart Centerline, UCL and LCL are calculated by the following formula. Standard Error P-Chart (Proportion Chart)

T The proportion of 20 samples each containing 100 observations are shown here. The average proportion (Phat) can now be calculated. This can be done by using the Descriptive Statistics Template or more quickly by using the EXCEL built in AVERAGE function on this set of numbers. Calculate the Control Limits for the Mean Control Chart. Example Average Proportion

T Input the Sample Size, and Average Proportion (Phat) in the light green cells. The LCL, UCL are automatically calculated

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.