MCM Data Report Aloysius Chan Eddie Lim Tan Yu Xiang Yap Jun Lin Lee Bing Qian.

Slides:

Advertisements

Similar presentations

Task Conventional control charts are to be used on a process manufacturing small components with a specified length of 60 ± 1.5mm. Two identical machines.

Advertisements

An Introduction to Statistical Process Control Charts (SPC) Steve Harrison Monday 15 th July – 1pm Room 6 R Floor RHH.

Warm UP 1) Name the following parent graph: 2) Where is a point of inflection(s) for the function y=cos(x) on the interval [0 o, 360 o ]? 3) On what subinterval(s)

Making a frequency distribution and histogram. The Data Make sure the data is quantitative Sort the data from smallest to largest Count how many.

The Bell Shaped Curve By the definition of the bell shaped curve, we expect to find certain percentages of the population between the standard deviations.

1. Statistics 2. Frequency Table 3. Graphical Representations  Bar Chart, Pie Chart, and Histogram 4. Median and Quartiles 5. Box Plots 6. Interquartile.

Starter 1.Find the median of Find the median of Calculate the range of Calculate the mode.

Statistics 300: Introduction to Probability and Statistics Section 2-2.

FINDINGS PRESENTATION By Guo Yulong, Lee Jit Ping, Lim An Guan, Yap Kang Zheng.

1.3 Psychology Statistics AP Psychology Mr. Loomis.

Chapter 3 Descriptive Statistics: Numerical Methods Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.

Histograms A histogram is a type of frequency table. However, instead of the x-axis representing a single value it represents a range of values. For instance.

HISTOGRAMS AND OGIVES A histogram is a visual display of a frequency table. In these graphs we will use bars to represent the frequency of each class.

Statistics Measures Chapter 15 Sections

Descriptive Statistics

Measures of Variation For Example: The 11 Workers at a company have the following ages: 27, 39, 40, 22, 19, 25, 41, 58, 53, 49, 51 Order data from least.

Box and Whisker Plots Measures of Central Tendency.

CMC Afternoon Meeting 10 th March Agenda 1.Consent forms 2.New Secondary 1 Probates 3.Secondary 4 PTM 4.Camp Packing List 5.Secondary 1 Stay Back.

Worked examples and exercises are in the text STROUD PROGRAMME 27 STATISTICS.

The Mean : A measure of centre The mean (often referred to as the average). Mean = sum of values total number of values.

Inference Concepts Confidence Regions. Inference ConceptsSlide #2 Confidence Regions What is the next logical question when H 0 is rejected?

Warm Up for 8/4 Make Sure to Get a Calculator Calculate the measures of central tendency for the data set above. 2. Determine.

Copyright © 2005 Pearson Education, Inc. Slide 6-1.

Assignment: Use these raw TMI data from near Yellowstone Lakeraw TMI data clean them up separate sources make professional final images Write a report.

Statistics topics from both Math 1 and Math 2, both featured on the GHSGT.

DO NOW1/29/14 Use the gas price data to answer the following questions. {$4.79, $4.60, $4.75, $4.66, $4.60} 1.Find the mean of the data (hint: average)

Psychology 202a Advanced Psychological Statistics October 20, 2015.

Frequency and Histograms. Vocabulary:  Frequency: The number of data values in an interval.  Frequency Table: A table that groups a set of data values.

Introductory Statistics Lesson 2.5 A Objective: SSBAT find the first, second and third quartiles of a data set. SSBAT find the interquartile range of a.

Do Now 1)Construct a box and whisker plot: 10, 13, 14, 16, 16, 18, 20, 23, 24, 24, 27, 34 2)For a set of data, the interquartile range is 22 and the upper.

November 2015 – IAG/IAL % Greater Than 1% of Enrollments 1,302 Total IAG+IAL Total IAG+IAL % of Total Enrollments 0.99% IAG/IAL % Less Than 1% of Enrollments.

Introduction Previous lessons demonstrated the use of the standard normal distribution. While distributions with a mean of 0 and a standard deviation of.

Measures of Central Tendency. The Big Three – Mean, Median & Mode Mean Most common measure Arithmetic average Statistical symbols PopulationSample μ Nn.

Margin of Error S-IC.4 Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation.

10-1 人生与责任淮安工业园区实验学校连芳芳 “ 自我介绍 ” “ 自我介绍 ” 儿童时期的我.

Percent of Enrollments Resulting in IAG/IAL

Figure 2-7 (p. 47) A bar graph showing the distribution of personality types in a sample of college students. Because personality type is a discrete variable.

بسم الله الرحمن الرحيم 1.

Add a 3rd column and do a running total of the frequency column

Calculating Median and Quartiles

Cumulative Frequency Diagrams

1st Semester Final Review Day 1: Exploratory Data Analysis

Statistical Reasoning in Everyday Life

Yahoo Mail Customer Support Number

Most Effective Techniques to Park your Manual Transmission Car

How do Power Car Windows Ensure Occupants Safety

Servicenumber.org/internet-explorer. Resolve Issue Internet Explorer.

Descriptive Statistics

Measures of Central Tendency

Chapter 2 Describing Variables

Unit 3: Statistics Final Exam Review.

Unit 2: Statistics Final Exam Review.

Draw a cumulative frequency table.

Cumulative Frequency.

مديريت موثر جلسات Running a Meeting that Works

Quantitative Methods PSY302 Quiz Normal Curve Review February 6, 2017

Cumulative Frequency.

Rounded Off Values Upper and Lower Bounds.

Statistics and Data (Algebraic)

Click the mouse button or press the Space Bar to display the answers.

Functions and Their Properties II

Making Sense of Statistics:

Finding upper and lower outliers Using the 1.5 x IQR Criterion

Unit 2: Descriptive Statistics

Basic Biostatistics Measures of central tendency and dispersion

Presentation transcript:

MCM Data Report Aloysius Chan Eddie Lim Tan Yu Xiang Yap Jun Lin Lee Bing Qian

Upper Control Limit Centre Line Findings - Parameters 1, 2, 3 Anomaly above

Upper Control Limit Findings - Parameters 12, 13, 14 Centre Line Lower Control Limit

Findings - Parameters 15, 16, 17, 18 Upper Control Limit Centre Line Lower Control Limit Anomaly frequency increases

Upper Control Limit Findings - Parameter 19 Centre Line Lower Control Limit Fluctuation

Anomalies Anomaly frequency increase 4000 onwards

Anomalies Run below centre line Run above centre line

Anomalies Fluctuation

Recommendations Tighten control limits Anomalies greatly skew moving range Most points lie near to the centre line

Final Thoughts Explore topic deeper Deeper exploration of statistical analysis Different types of charts Better understanding of data Meaning of each individual parameter Significance of findings

Thank You!