PTC Thermistor: Time Interval to Trip Study
|
|
- Solomon Wiggins
- 7 years ago
- Views:
Transcription
1 PTC Thermistor: Time Interval to Trip Study by by David C. C. Wilson Owner Owner // Principal Principal Consultant Consultant Wilson Consulting Services, LLC April 5, 5, 5 Page 1-19
2 Table of Contents Description Page 1.: Introduction : Summary : Statistical Analysis : Graph of Real Time Data (Lab) Page 2-19
3 Introduction 1.: Introduction Objective To determine how long it takes a PTC thermistor to trip after reaching the experimental threshold current. Information Sources Tyco Electronics Data Sheet RXE11-2 Literature on PTC Thermistors by Bowthrope Thermometrics, Thermometrics & Keystone Thermometrics Laboratory Equipment Volt-ohm meters Meter S/W Temperature Chamber Statistical Tools Minitab Excel Product under study PTC (xx327) Sample size = 6 Page 3-19
4 + Laboratory Test Circuit Set-up V PTC Thermistor 1.1A Voltage meter + Introduction cont d Variable resistor Vs Input voltage _ I A Experiment Data Load Current Time to Trip Amps Seconds _ NAC Circuit Current meter Page 4-19
5 2.: Summary Summary There were six PTC thermistors tested at the experimental threshold of 1.75 Amperes. The circuit application rating is 1. ampere and the MS-512 technical manual explicitly specifies 1. Amp load current. Laboratory Test Results Threshold current and time to trip confidence intervals (T-distribution model) Variables N Mean StDev SE Mean 95% CI Current (Amps) (1.742, ) Time (Seconds) (24.7, 69.3) Monte Carlo Simulation Test Results Threshold current and time to trip confidence intervals (T-distribution model) Variables N Mean StDev SE Mean 95% CI Current (Amps) ( , ) Time (seconds) (46.3,49.1) The Monte Carlo simulation results indicates a more accurate assessment of load current versus trip time. For example, the confidence intervals, particularly the time it takes to trip are much smaller. The load current passed normality test when the Kolmogorov-Smirnov model was applied to the data. The the time to trip passed normality test when the Anderson-Darling model was applied to the data. Once normality was confirmed, parametric statistics models were applicable. Page 5-19
6 summary cont d Statistical Graphs Various plots of the data are on the following pages. There is no correlation between threshold current and time to trip. However, an attempt was made to use the exponential model anyway and it showed what was expected, a linear line for threshold load current versus time to trip. This device is a switching PTC thermistor and is intended to protect the board from an external short that might occur across the output NAC circuit. See figure 1 for the exponential graph. Additionally, see figures 3 and 4 for the correlation study. Additional statistical graphs are shown in figures 6 thru 14. The Monte Carlo simulation test results infer that if 1, PTC thermistors were tested at threshold current, 95% of the time, the time to trip will be between 46 and 49 seconds. Real Time Technical Graphs These graphs indicate the interval time period from trip current threshold to trip. The trip is where the avalanche takes place. There is a graph for each sample component. See figures 13 thru 17. Conclusion of Study There is a reasonable degree of practical and statistical certainty that the 1.1 Amperes device will not trip unless the output is driven 75% over the MS-512 load specification of 1. Ampere. See additional studies for this device in RP-66 dated 3/31/5. Summary cont d Page 6-19
7 Summary cont d summary cont d PTC Thermistors Plot of Load Current (amperes) vs. Trip Time (seconds) Time Expon. (Time) Load Current (Am peres) Figure 1 Trip Time (Seconds) Page 7-19
8 Statistical Analysis 3.: Statistical Analysis Probability Chart for Trip Time Probability Plot of Trip Time for PTC Thermistor Percent Mean 47 StDev N 6 AD.324 P-Value Trip Time (seconds) 1 Figure 2 This graph also test for normality Page 8-19
9 Statistical Analysis cont d Empirical Data Correlation Plot Corrleation Plot of Amps vs. Trip Time Amps = (Time) Threshold Current (Amps) S R-Sq 1.8% R-Sq(adj).% Trip Time (seconds) 7 Figure 3 Comments: Although the linear line shows a slightly downward slope, the slope is statistically insignificant; therefore, there is no correlation between amps at threshold current and time to trip. Hence: R-squared is only 1.8%. Page 9-19
10 Statistical Analysis cont d Monte Carlo Simulation Data Correlation Plot Correlation Plot of Amps vs. trip Time Amps_1 = (Time) Threshold Current (Amps) S R-Sq.2% R-Sq(adj).1% Trip Time (seconds) Figure 4 Comments: Although the linear line shows a slightly upward slope, the slope is statistically insignificant; therefore, there is no correlation between amps at threshold current and time to trip. Hence: R-squared is only.296%. Page 1-19
11 Statistical Analysis - cont d Probability Chart for Trip Current Probability Plot of PTC Thermiser Trip Current Percent Mean StDev.9832 N 6 KS.151 P-Value > Load Current (Amperes) Figure 5 This graph also test normality Page 11-19
12 Empirical Data Statistical Analysis - cont d Density Curve for PTC Thermistors Trip Time Histogram of PTC Thermistors Mean 47 StDev N Mean 47 StDev N Frequency.6 Frequency Trip Time (seconds). 4 6 Trip Time (seconds) Figure 6 Figure 7 Density Curve for PTC Thermistors (Triip Current) Histogram of PTC Thermistors Trip Current 2.5 Mean StDev.9832 N 6 4 Mean StDev.9832 N Frequency Frequency Trip Current (A mps) Figure Trip Current (seconds) Figure 9 Page 12-19
13 Monte Carlo simulation data Statistical Analysis - cont d Density Ccurve for PTC Tehermistors Trip Time (Monte Carlo Simulation) Histogram of Trip Time for PTC Thermistor (Monte Carlo Simulation) 9 7 Mean StDev N 1 1 Mean StDev N 1 Frequency Frequency Trip Time (seconds) Trip Time (seconds) Figure 1 Figure Density Curve of PTC Trip Current (Monte Carlo Simulation) Mean StDev.125 N 1 Histogram of PTC Thermistor Trip Current (Monte Carlo S imulation) 9 Mean StDev.125 N 1 Frequency Frequency Trip Current (Amps) Figure 12 Figure 13 Trip Current (A mps) Page 13-19
14 4.: Graph of Real Time Data (Lab) Graph of Real Time Data Threshold current point PTC #1 Current (I) trip = 1.74 A Trip interval = 41 seconds Figure 14 Page 14-19
15 Graph of Real Time Data cont d PTC #2 Current (I) trip = 1.76 A Trip interval = 73 seconds Figure 15 Page 15-19
16 Graph of Real Time Data cont d PTC # 3 Current (I) trip =1.76 Trip interval = 61 seconds Figure 16 Page 16-19
17 Graph of Real Time Data cont d PTC# 4 Current (I) trip = 1.76A Trip interval = 25 seconds Figure 17 Page 17-19
18 Graph of Real Time Data cont d PTC # 5 Current (I) trip = 1.77A Trip interval = 21 seconds Figure 18 Page 18-19
19 Graph of Real Time Data cont d PTC # 6 Current (I) trip = 1.76 A Trip interval = 61 seconds Figure 19 Page 19-19
Regression Analysis: A Complete Example
Regression Analysis: A Complete Example This section works out an example that includes all the topics we have discussed so far in this chapter. A complete example of regression analysis. PhotoDisc, Inc./Getty
More informationMTH 140 Statistics Videos
MTH 140 Statistics Videos Chapter 1 Picturing Distributions with Graphs Individuals and Variables Categorical Variables: Pie Charts and Bar Graphs Categorical Variables: Pie Charts and Bar Graphs Quantitative
More informationHow To Test For Significance On A Data Set
Non-Parametric Univariate Tests: 1 Sample Sign Test 1 1 SAMPLE SIGN TEST A non-parametric equivalent of the 1 SAMPLE T-TEST. ASSUMPTIONS: Data is non-normally distributed, even after log transforming.
More informationUnit 7: Electrical devices LO2: Understand electrical sensors and actuators Sensors temperature the thermistor
Unit 7: Electrical devices LO2: Understand electrical sensors and actuators Sensors temperature the thermistor Instructions and answers for teachers These instructions should accompany the OCR resource
More informationStep Response of RC Circuits
Step Response of RC Circuits 1. OBJECTIVES...2 2. REFERENCE...2 3. CIRCUITS...2 4. COMPONENTS AND SPECIFICATIONS...3 QUANTITY...3 DESCRIPTION...3 COMMENTS...3 5. DISCUSSION...3 5.1 SOURCE RESISTANCE...3
More informationChapter 4 and 5 solutions
Chapter 4 and 5 solutions 4.4. Three different washing solutions are being compared to study their effectiveness in retarding bacteria growth in five gallon milk containers. The analysis is done in a laboratory,
More information1. The parameters to be estimated in the simple linear regression model Y=α+βx+ε ε~n(0,σ) are: a) α, β, σ b) α, β, ε c) a, b, s d) ε, 0, σ
STA 3024 Practice Problems Exam 2 NOTE: These are just Practice Problems. This is NOT meant to look just like the test, and it is NOT the only thing that you should study. Make sure you know all the material
More informationUse of Monte Carlo Simulation for a Peer Review Process Performance Model
Use of Monte Carlo Simulation for a Peer Review Process Performance Model Presenter: Emerald Russo, Systems Engineering US Combat Systems, BAE Systems Credit for photo references found at end of presentation.
More information2. Simple Linear Regression
Research methods - II 3 2. Simple Linear Regression Simple linear regression is a technique in parametric statistics that is commonly used for analyzing mean response of a variable Y which changes according
More informationLab 1: Introduction to PSpice
Lab 1: Introduction to PSpice Objectives A primary purpose of this lab is for you to become familiar with the use of PSpice and to learn to use it to assist you in the analysis of circuits. The software
More informationCase Study Call Centre Hypothesis Testing
is often thought of as an advanced Six Sigma tool but it is a very useful technique with many applications and in many cases it can be quite simple to use. Hypothesis tests are used to make comparisons
More informationTRINITY COLLEGE. Faculty of Engineering, Mathematics and Science. School of Computer Science & Statistics
UNIVERSITY OF DUBLIN TRINITY COLLEGE Faculty of Engineering, Mathematics and Science School of Computer Science & Statistics BA (Mod) Enter Course Title Trinity Term 2013 Junior/Senior Sophister ST7002
More informationPredictor Coef StDev T P Constant 970667056 616256122 1.58 0.154 X 0.00293 0.06163 0.05 0.963. S = 0.5597 R-Sq = 0.0% R-Sq(adj) = 0.
Statistical analysis using Microsoft Excel Microsoft Excel spreadsheets have become somewhat of a standard for data storage, at least for smaller data sets. This, along with the program often being packaged
More informationCurriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010
Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010 Week 1 Week 2 14.0 Students organize and describe distributions of data by using a number of different
More informationExperiment #11: LRC Circuit (Power Amplifier, Voltage Sensor)
Experiment #11: LRC Circuit (Power Amplifier, Voltage Sensor) Concept: circuits Time: 30 m SW Interface: 750 Windows file: RLC.SWS EQUIPMENT NEEDED Science Workshop Interface Power Amplifier (2) Voltage
More information(More Practice With Trend Forecasts)
Stats for Strategy HOMEWORK 11 (Topic 11 Part 2) (revised Jan. 2016) DIRECTIONS/SUGGESTIONS You may conveniently write answers to Problems A and B within these directions. Some exercises include special
More informationTesting Random- Number Generators
Testing Random- Number Generators Raj Jain Washington University Saint Louis, MO 63130 Jain@cse.wustl.edu Audio/Video recordings of this lecture are available at: http://www.cse.wustl.edu/~jain/cse574-08/
More informationAN105. Introduction: The Nature of VCRs. Resistance Properties of FETs
Introduction: The Nature of s A voltage-controlled resistor () may be defined as a three-terminal variable resistor where the resistance value between two of the terminals is controlled by a voltage potential
More informationSimple linear regression
Simple linear regression Introduction Simple linear regression is a statistical method for obtaining a formula to predict values of one variable from another where there is a causal relationship between
More informationCALIBRATION OF A THERMISTOR THERMOMETER (version = fall 2001)
CALIBRATION OF A THERMISTOR THERMOMETER (version = fall 2001) I. Introduction Calibration experiments or procedures are fairly common in laboratory work which involves any type of instrumentation. Calibration
More informationExperiment 4: Sensor Bridge Circuits (tbc 1/11/2007, revised 2/20/2007, 2/28/2007) I. Introduction. From Voltage Dividers to Wheatstone Bridges
Experiment 4: Sensor Bridge Circuits (tbc //2007, revised 2/20/2007, 2/28/2007) Objective: To implement Wheatstone bridge circuits for temperature measurements using thermistors. I. Introduction. From
More informationPHYSICS 111 LABORATORY Experiment #3 Current, Voltage and Resistance in Series and Parallel Circuits
PHYSCS 111 LABORATORY Experiment #3 Current, Voltage and Resistance in Series and Parallel Circuits This experiment is designed to investigate the relationship between current and potential in simple series
More informationLab 1: DC Circuits. Student 1, student1@ufl.edu Partner : Student 2, student2@ufl.edu
Lab Date Lab 1: DC Circuits Student 1, student1@ufl.edu Partner : Student 2, student2@ufl.edu I. Introduction The purpose of this lab is to allow the students to become comfortable with the use of lab
More informationSimulation Exercises to Reinforce the Foundations of Statistical Thinking in Online Classes
Simulation Exercises to Reinforce the Foundations of Statistical Thinking in Online Classes Simcha Pollack, Ph.D. St. John s University Tobin College of Business Queens, NY, 11439 pollacks@stjohns.edu
More informationExperiment #4 Sugar in Soft Drinks and Fruit Juices. Laboratory Overview CHEM 1361. August 2010
Experiment #4 Sugar in Soft Drinks and Fruit Juices Laboratory Overview CHEM 1361 August 2010 Gary S. Buckley, Ph.D. Department of Physical Sciences Cameron University Learning Objectives Relate density
More informationHOW TO USE MINITAB: DESIGN OF EXPERIMENTS. Noelle M. Richard 08/27/14
HOW TO USE MINITAB: DESIGN OF EXPERIMENTS 1 Noelle M. Richard 08/27/14 CONTENTS 1. Terminology 2. Factorial Designs When to Use? (preliminary experiments) Full Factorial Design General Full Factorial Design
More informationNONLINEAR RESISTORS, THERMISTORS, VARISTORS
NONLINEAR RESISTORS, THERMISTORS, VARISTORS 1. The purpose of the paper: Highlighting the characteristics of thermistors and varistor. Theoretical background:.1. Thermistors The thermistor is a resistor
More informationAnalysing Questionnaires using Minitab (for SPSS queries contact -) Graham.Currell@uwe.ac.uk
Analysing Questionnaires using Minitab (for SPSS queries contact -) Graham.Currell@uwe.ac.uk Structure As a starting point it is useful to consider a basic questionnaire as containing three main sections:
More informationSTART Selected Topics in Assurance
START Selected Topics in Assurance Related Technologies Table of Contents Introduction Some Statistical Background Fitting a Normal Using the Anderson Darling GoF Test Fitting a Weibull Using the Anderson
More informationCHAPTER 3 CALL CENTER QUEUING MODEL WITH LOGNORMAL SERVICE TIME DISTRIBUTION
31 CHAPTER 3 CALL CENTER QUEUING MODEL WITH LOGNORMAL SERVICE TIME DISTRIBUTION 3.1 INTRODUCTION In this chapter, construction of queuing model with non-exponential service time distribution, performance
More informationChapter 23. Inferences for Regression
Chapter 23. Inferences for Regression Topics covered in this chapter: Simple Linear Regression Simple Linear Regression Example 23.1: Crying and IQ The Problem: Infants who cry easily may be more easily
More informationThe Assumption(s) of Normality
The Assumption(s) of Normality Copyright 2000, 2011, J. Toby Mordkoff This is very complicated, so I ll provide two versions. At a minimum, you should know the short one. It would be great if you knew
More informationProcess Capability Analysis Using MINITAB (I)
Process Capability Analysis Using MINITAB (I) By Keith M. Bower, M.S. Abstract The use of capability indices such as C p, C pk, and Sigma values is widespread in industry. It is important to emphasize
More informationA) 0.1554 B) 0.0557 C) 0.0750 D) 0.0777
Math 210 - Exam 4 - Sample Exam 1) What is the p-value for testing H1: µ < 90 if the test statistic is t=-1.592 and n=8? A) 0.1554 B) 0.0557 C) 0.0750 D) 0.0777 2) The owner of a football team claims that
More informationPaired 2 Sample t-test
Variations of the t-test: Paired 2 Sample 1 Paired 2 Sample t-test Suppose we are interested in the effect of different sampling strategies on the quality of data we recover from archaeological field surveys.
More informationThe importance of graphing the data: Anscombe s regression examples
The importance of graphing the data: Anscombe s regression examples Bruce Weaver Northern Health Research Conference Nipissing University, North Bay May 30-31, 2008 B. Weaver, NHRC 2008 1 The Objective
More informationEXCEL Tutorial: How to use EXCEL for Graphs and Calculations.
EXCEL Tutorial: How to use EXCEL for Graphs and Calculations. Excel is powerful tool and can make your life easier if you are proficient in using it. You will need to use Excel to complete most of your
More informationEngineering Problem Solving and Excel. EGN 1006 Introduction to Engineering
Engineering Problem Solving and Excel EGN 1006 Introduction to Engineering Mathematical Solution Procedures Commonly Used in Engineering Analysis Data Analysis Techniques (Statistics) Curve Fitting techniques
More informationSAS R IML (Introduction at the Master s Level)
SAS R IML (Introduction at the Master s Level) Anton Bekkerman, Ph.D., Montana State University, Bozeman, MT ABSTRACT Most graduate-level statistics and econometrics programs require a more advanced knowledge
More informationFLOW MEASUREMENT 2001 INTERNATIONAL CONFERENCE DERIVATION OF AN EXPANSIBILITY FACTOR FOR THE V-CONE METER
FLOW MEASUREMENT 200 INTERNATIONAL CONFERENCE DERIVATION OF AN EXPANSIBILITY FACTOR FOR THE V-CONE METER Dr D G Stewart, NEL Dr M Reader-Harris, NEL Dr R J W Peters, McCrometer Inc INTRODUCTION The V-Cone
More informationAutomotive MOSFETs in Linear Applications: Thermal Instability
Application Note, V1.0, May 2005 Automotive MOSFETs in Linear Applications: Thermal Instability by Peter H. Wilson Automotive Power N e v e r s t o p t h i n k i n g. - 1 - Table of Content 1. Introduction...
More informationUNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010
UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 COURSE: POM 500 Statistical Analysis, ONLINE EDITION, Fall 2010 Prerequisite: Finite Math
More informationWaveforms and the Speed of Sound
Laboratory 3 Seth M. Foreman February 24, 2015 Waveforms and the Speed of Sound 1 Objectives The objectives of this excercise are: to measure the speed of sound in air to record and analyze waveforms of
More informationSimple Linear Regression Inference
Simple Linear Regression Inference 1 Inference requirements The Normality assumption of the stochastic term e is needed for inference even if it is not a OLS requirement. Therefore we have: Interpretation
More informationMultiple-Comparison Procedures
Multiple-Comparison Procedures References A good review of many methods for both parametric and nonparametric multiple comparisons, planned and unplanned, and with some discussion of the philosophical
More informationChapter 13 Introduction to Linear Regression and Correlation Analysis
Chapter 3 Student Lecture Notes 3- Chapter 3 Introduction to Linear Regression and Correlation Analsis Fall 2006 Fundamentals of Business Statistics Chapter Goals To understand the methods for displaing
More informationLab 1 Diode Characteristics
Lab 1 Diode Characteristics Purpose The purpose of this lab is to study the characteristics of the diode. Some of the characteristics that will be investigated are the I-V curve and the rectification properties.
More informationExperiment #3, Ohm s Law
Experiment #3, Ohm s Law 1 Purpose Physics 182 - Summer 2013 - Experiment #3 1 To investigate the -oltage, -, characteristics of a carbon resistor at room temperature and at liquid nitrogen temperature,
More informationLAB IV. SILICON DIODE CHARACTERISTICS
LAB IV. SILICON DIODE CHARACTERISTICS 1. OBJECTIVE In this lab you are to measure I-V characteristics of rectifier and Zener diodes in both forward and reverse-bias mode, as well as learn to recognize
More informationLAB VIII. BIPOLAR JUNCTION TRANSISTOR CHARACTERISTICS
LAB VIII. BIPOLAR JUNCTION TRANSISTOR CHARACTERISTICS 1. OBJECTIVE In this lab, you will study the DC characteristics of a Bipolar Junction Transistor (BJT). 2. OVERVIEW In this lab, you will inspect the
More informationExperiment #4, Ohmic Heat
Experiment #4, Ohmic Heat 1 Purpose Physics 18 - Fall 013 - Experiment #4 1 1. To demonstrate the conversion of the electric energy into heat.. To demonstrate that the rate of heat generation in an electrical
More informationModule 5: Statistical Analysis
Module 5: Statistical Analysis To answer more complex questions using your data, or in statistical terms, to test your hypothesis, you need to use more advanced statistical tests. This module reviews the
More informationEXPERIMENT 7 OHM S LAW, RESISTORS IN SERIES AND PARALLEL
260 7- I. THEOY EXPEIMENT 7 OHM S LAW, ESISTOS IN SEIES AND PAALLEL The purposes of this experiment are to test Ohm's Law, to study resistors in series and parallel, and to learn the correct use of ammeters
More informationLAB 7 MOSFET CHARACTERISTICS AND APPLICATIONS
LAB 7 MOSFET CHARACTERISTICS AND APPLICATIONS Objective In this experiment you will study the i-v characteristics of an MOS transistor. You will use the MOSFET as a variable resistor and as a switch. BACKGROUND
More informationLab Report No.1 // Diodes: A Regulated DC Power Supply Omar X. Avelar Omar de la Mora Diego I. Romero
Instituto Tecnológico y de Estudios Superiores de Occidente (ITESO) Periférico Sur Manuel Gómez Morín 8585, Tlaquepaque, Jalisco, México, C.P. 45090 Analog Electronic Devices (ESI038 / SE047) Dr. Esteban
More informationA Comparison of the Measured Magnetic Field Strength Using Ampere-Turns (AT) and millitesla (mt)
MEDER electronic AT vs. mt A Comparison of the Measured Magnetic Field Strength Using Ampere-Turns (AT) and millitesla (mt) With the advent of the Reed Switch, developed by Bell Labs in the 1940s, it was
More informationAGILE Burndown Chart deviation - Predictive Analysis to Improve Iteration Planning
AGILE Burndown Chart deviation - Predictive Analysis to Improve Iteration Planning A. Mr. Dhruba Jyoti Chaudhuri 1, B. Ms. Aditi Chaudhuri 2 1 Process Excellence Group, Tata Consultancy Services (TCS)
More informationSouth Carolina College- and Career-Ready (SCCCR) Probability and Statistics
South Carolina College- and Career-Ready (SCCCR) Probability and Statistics South Carolina College- and Career-Ready Mathematical Process Standards The South Carolina College- and Career-Ready (SCCCR)
More informationBowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition
Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition Online Learning Centre Technology Step-by-Step - Excel Microsoft Excel is a spreadsheet software application
More informationActivity P13: Buoyant Force (Force Sensor)
July 21 Buoyant Force 1 Activity P13: Buoyant Force (Force Sensor) Concept DataStudio ScienceWorkshop (Mac) ScienceWorkshop (Win) Archimedes Principle P13 Buoyant Force.DS P18 Buoyant Force P18_BUOY.SWS
More informationGENERAL SCIENCE LABORATORY 1110L Lab Experiment 6: Ohm s Law
GENERAL SCIENCE LABORATORY 1110L Lab Experiment 6: Ohm s Law OBJECTIVES: To verify Ohm s law, the mathematical relationship among current, voltage or potential difference, and resistance, in a simple circuit.
More informationAP Physics 1 and 2 Lab Investigations
AP Physics 1 and 2 Lab Investigations Student Guide to Data Analysis New York, NY. College Board, Advanced Placement, Advanced Placement Program, AP, AP Central, and the acorn logo are registered trademarks
More information2. What is the general linear model to be used to model linear trend? (Write out the model) = + + + or
Simple and Multiple Regression Analysis Example: Explore the relationships among Month, Adv.$ and Sales $: 1. Prepare a scatter plot of these data. The scatter plots for Adv.$ versus Sales, and Month versus
More informationFactors affecting online sales
Factors affecting online sales Table of contents Summary... 1 Research questions... 1 The dataset... 2 Descriptive statistics: The exploratory stage... 3 Confidence intervals... 4 Hypothesis tests... 4
More information1. What is the critical value for this 95% confidence interval? CV = z.025 = invnorm(0.025) = 1.96
1 Final Review 2 Review 2.1 CI 1-propZint Scenario 1 A TV manufacturer claims in its warranty brochure that in the past not more than 10 percent of its TV sets needed any repair during the first two years
More informationSimple Linear Regression
STAT 101 Dr. Kari Lock Morgan Simple Linear Regression SECTIONS 9.3 Confidence and prediction intervals (9.3) Conditions for inference (9.1) Want More Stats??? If you have enjoyed learning how to analyze
More informationBNG 202 Biomechanics Lab. Descriptive statistics and probability distributions I
BNG 202 Biomechanics Lab Descriptive statistics and probability distributions I Overview The overall goal of this short course in statistics is to provide an introduction to descriptive and inferential
More informationModule 1, Lesson 3 Temperature vs. resistance characteristics of a thermistor. Teacher. 45 minutes
Module 1, Lesson 3 Temperature vs. resistance characteristics of a thermistor 45 minutes Teacher Purpose of this lesson How thermistors are used to measure temperature. Using a multimeter to measure the
More informationExperiment 8 : Pulse Width Modulation
Name/NetID: Teammate/NetID: Experiment 8 : Pulse Width Modulation Laboratory Outline In experiment 5 we learned how to control the speed of a DC motor using a variable resistor. This week, we will learn
More informationCopyright 2010-2011 PEOPLECERT Int. Ltd and IASSC
PEOPLECERT - Personnel Certification Body 3 Korai st., 105 64 Athens, Greece, Tel.: +30 210 372 9100, Fax: +30 210 372 9101, e-mail: info@peoplecert.org, www.peoplecert.org Copyright 2010-2011 PEOPLECERT
More informationMeasuring Exchange Rate Fluctuations Risk Using the Value-at-Risk
Journal of Applied Finance & Banking, vol.2, no.3, 2012, 65-79 ISSN: 1792-6580 (print version), 1792-6599 (online) International Scientific Press, 2012 Measuring Exchange Rate Fluctuations Risk Using the
More informationChapter 3 RANDOM VARIATE GENERATION
Chapter 3 RANDOM VARIATE GENERATION In order to do a Monte Carlo simulation either by hand or by computer, techniques must be developed for generating values of random variables having known distributions.
More informationFairfield Public Schools
Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity
More informationPLOTTING DATA AND INTERPRETING GRAPHS
PLOTTING DATA AND INTERPRETING GRAPHS Fundamentals of Graphing One of the most important sets of skills in science and mathematics is the ability to construct graphs and to interpret the information they
More informationThe Time Constant of an RC Circuit
The Time Constant of an RC Circuit 1 Objectives 1. To determine the time constant of an RC Circuit, and 2. To determine the capacitance of an unknown capacitor. 2 Introduction What the heck is a capacitor?
More informationThe Effect of Three-way Catalyst Selection on Component Pressure Drop and System Performance
29-1-172 The Effect of Three-way Catalyst Selection on Component Pressure Drop and System Performance Jonathan D. Pesansky, Nathan A. Majiros, Charles M. Sorensen and David L. Thomas Corning Copyright
More informationTwo-sample inference: Continuous data
Two-sample inference: Continuous data Patrick Breheny April 5 Patrick Breheny STA 580: Biostatistics I 1/32 Introduction Our next two lectures will deal with two-sample inference for continuous data As
More informationStatistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013
Statistics I for QBIC Text Book: Biostatistics, 10 th edition, by Daniel & Cross Contents and Objectives Chapters 1 7 Revised: August 2013 Chapter 1: Nature of Statistics (sections 1.1-1.6) Objectives
More informationWhy Is EngineRoom the Right Choice? 1. Cuts the Cost of Calculation
What is EngineRoom? - A Web based data analysis application with an intuitive, drag-and-drop graphical interface. - A suite of powerful, simple-to-use Lean and Six Sigma data analysis tools that you can
More informationSTAT 350 Practice Final Exam Solution (Spring 2015)
PART 1: Multiple Choice Questions: 1) A study was conducted to compare five different training programs for improving endurance. Forty subjects were randomly divided into five groups of eight subjects
More informationComparison of EngineRoom (6.0) with Minitab (16) and Quality Companion (3)
Comparison of EngineRoom (6.0) with Minitab (16) and Quality Companion (3) What is EngineRoom? A Microsoft Excel add in A suite of powerful, simple to use Lean and Six Sigma data analysis tools Built for
More informationHYPOTHESIS TESTING WITH SPSS:
HYPOTHESIS TESTING WITH SPSS: A NON-STATISTICIAN S GUIDE & TUTORIAL by Dr. Jim Mirabella SPSS 14.0 screenshots reprinted with permission from SPSS Inc. Published June 2006 Copyright Dr. Jim Mirabella CHAPTER
More informationMinitab Tutorials for Design and Analysis of Experiments. Table of Contents
Table of Contents Introduction to Minitab...2 Example 1 One-Way ANOVA...3 Determining Sample Size in One-way ANOVA...8 Example 2 Two-factor Factorial Design...9 Example 3: Randomized Complete Block Design...14
More informationApplied Reliability Page 1 APPLIED RELIABILITY. Techniques for Reliability Analysis
Applied Reliability Page 1 APPLIED RELIABILITY Techniques for Reliability Analysis with Applied Reliability Tools (ART) (an EXCEL Add-In) and JMP Software AM216 Class 4 Notes Santa Clara University Copyright
More informationElectronics I - Laboratory 1 Diode I/V Characteristics
Electronics I - Laboratory 1 Diode I/V Characteristics I. Objectives 1. Develop I/V characteristics of a silicon diode. 2. Develop I/V characteristics of a germanium diode. 3. Develop I/V characteristics
More informationChallenges and Implementation of Effort Tracking System
Challenges and Implementation of Effort Tracking System Shalu Gupta Senior Technical Officer Nilesh Kumar Dokania Assistant Professor C-DAC Noida Guru Nanak Institute of Management C-56/1, Sector-62,Institutional
More informationEquipment: Power Supply, DAI, Transformer (8341), Variable resistance (8311), Variable inductance (8321), Variable capacitance (8331)
Lab 5: Single-phase transformer operations. Objective: to examine the design of single-phase transformers; to study the voltage and current ratios of transformers; to study the voltage regulation of the
More informationLABORATORY 2 THE DIFFERENTIAL AMPLIFIER
LABORATORY 2 THE DIFFERENTIAL AMPLIFIER OBJECTIVES 1. To understand how to amplify weak (small) signals in the presence of noise. 1. To understand how a differential amplifier rejects noise and common
More informationUnit 26: Small Sample Inference for One Mean
Unit 26: Small Sample Inference for One Mean Prerequisites Students need the background on confidence intervals and significance tests covered in Units 24 and 25. Additional Topic Coverage Additional coverage
More informationEXPERIMENT NUMBER 8 CAPACITOR CURRENT-VOLTAGE RELATIONSHIP
1 EXPERIMENT NUMBER 8 CAPACITOR CURRENT-VOLTAGE RELATIONSHIP Purpose: To demonstrate the relationship between the voltage and current of a capacitor. Theory: A capacitor is a linear circuit element whose
More informationA spreadsheet Approach to Business Quantitative Methods
A spreadsheet Approach to Business Quantitative Methods by John Flaherty Ric Lombardo Paul Morgan Basil desilva David Wilson with contributions by: William McCluskey Richard Borst Lloyd Williams Hugh Williams
More informationYou have data! What s next?
You have data! What s next? Data Analysis, Your Research Questions, and Proposal Writing Zoo 511 Spring 2014 Part 1:! Research Questions Part 1:! Research Questions Write down > 2 things you thought were
More informationElectricity & Electronics 5: Alternating Current and Voltage
Electricity & Electronics 5: lternating Current and Voltage lternating Current and Voltage IM This unit looks at several aspects of alternating current and voltage including measurement of frequency and
More informationSIMULATIONS OF PARALLEL RESONANT CIRCUIT POWER ELECTRONICS COLORADO STATE UNIVERSITY
SIMULATIONS OF PARALLEL RESONANT CIRCUIT POWER ELECTRONICS COLORADO STATE UNIVERSITY Page 1 of 25 PURPOSE: The purpose of this lab is to simulate the LCC circuit using MATLAB and ORCAD Capture CIS to better
More informationSpreadsheets and Laboratory Data Analysis: Excel 2003 Version (Excel 2007 is only slightly different)
Spreadsheets and Laboratory Data Analysis: Excel 2003 Version (Excel 2007 is only slightly different) Spreadsheets are computer programs that allow the user to enter and manipulate numbers. They are capable
More informationFREE FALL. Introduction. Reference Young and Freedman, University Physics, 12 th Edition: Chapter 2, section 2.5
Physics 161 FREE FALL Introduction This experiment is designed to study the motion of an object that is accelerated by the force of gravity. It also serves as an introduction to the data analysis capabilities
More informationAnalysis of Variance. MINITAB User s Guide 2 3-1
3 Analysis of Variance Analysis of Variance Overview, 3-2 One-Way Analysis of Variance, 3-5 Two-Way Analysis of Variance, 3-11 Analysis of Means, 3-13 Overview of Balanced ANOVA and GLM, 3-18 Balanced
More informationAnalytical Test Method Validation Report Template
Analytical Test Method Validation Report Template 1. Purpose The purpose of this Validation Summary Report is to summarize the finding of the validation of test method Determination of, following Validation
More informationCorrelation and Simple Linear Regression
Correlation and Simple Linear Regression We are often interested in studying the relationship among variables to determine whether they are associated with one another. When we think that changes in a
More informationBy Authority Of THE UNITED STATES OF AMERICA Legally Binding Document
By Authority Of THE UNITED STATES OF AMERICA Legally Binding Document By the Authority Vested By Part 5 of the United States Code 552(a) and Part 1 of the Code of Regulations 51 the attached document has
More information