# Register now to access 7 million high quality study materials (What's Course Hero?) Course Hero is the premier provider of high quality online educational resources. With millions of study documents, online tutors, digital flashcards and free courseware, Course Hero is helping students learn more efficiently and effectively. Whether you're interested in exploring new subjects or mastering key topics for your next exam, Course Hero has the tools you need to achieve your goals.

2 Pages

### chain2

Course: PHY 170, Fall 2009
School: DePaul
Rating:

Word Count: 170

#### Document Preview

worksheet This will allow you to do a numerical calculation of the acceleration of the glider pulled by a variable force. Enter your values for the mass of the glider and chain, number of links in your chain, and length of your chain. The proper equations have already been entered into the Table below. You will want to get the values of &quot;n&quot;, which are the number of links of the chain in the air,...

Register Now

#### Unformatted Document Excerpt

Coursehero >> Illinois >> DePaul >> PHY 170

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
worksheet This will allow you to do a numerical calculation of the acceleration of the glider pulled by a variable force. Enter your values for the mass of the glider and chain, number of links in your chain, and length of your chain. The proper equations have already been entered into the Table below. You will want to get the values of "n", which are the number of links of the chain in the air, to go from N to 0. Drag the second cell in the column "n" down until you see a value of "0". Then, go back to the other columns and complete the table. mass of glider mass of chain number of links mass of one link length of chain length of one link M= Mc = N= mL = L= l= kg kg #DIV/0! kg m #DIV/0! m ...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

DePaul - PHY - 170
Lab Partners: PHY 170 Lab # 6 WORK AND ENERGYPart 2. Work Done by a Constant Force. Please enter this data in both the group and individual reports. M, mass of glider: _ m, mass of &quot;small mass&quot;:_ 1.) [Group] Is the acceleration of the glider const
DePaul - PHY - 170
Lab Partners: PHY 170 Lab # 7 COLLISIONS: MOMENTUM AND ENERGYDATA COLLECTION AND ANALYSIS 3. [Group] Perform one final elastic collision, but this time for a case in which both gliders have nonzero initial velocities. Describe this elastic collis
DePaul - PHY - 170
Name _ Lab Partner(s) _ Physics 170 MATERIALS Beck brand ballistic pendulum with ball Ruler Fiberboard squares REFERENCES Giancoli, Chapter 9. Resource Guide for Physics 170, Appendix A (the &quot;gold&quot; handout) GOALS: The goal of the experiment is to det
DePaul - PHY - 170
Lab Partners: PHY 170 Lab # 9ROTATIONAL INERTIAPart II. Determination of the Retarding Frictional Torque. 1. [Group] Print out a copy of the graphs. Is the acceleration of the falling mass constant? Explain your answer by referring to your grap
Rutgers - MMS - 21578
Texas Tech - ECCWEB - 3318
By: Jennifer FaganThe planet is approximately 71% water. It contains 5 oceans, including the Arctic, Atlantic, Indian, Pacific and Southern.As water flows in rivers, it picks up small amounts of mineral salts from the rocks and soil of the rive
Table II Binomial Distribution Cumulative Tablesa. k n= 5 0.01 0.05 0.1 0.2 0 0.951 0.774 0.590 0.328 1 0.999 0.977 0.919 0.737 2 1.000 0.999 0.991 0.942 3 1.000 1.000 0.993 4 1.000 5 n= 6 0.01 0.05 0.1 0.2 0 0.941 0.735 0.531 0.262 1 0.999 0.967 0.
Table IV. Cumulative Poisson Distributionk 0 1 2 3 4 5 6 0.1 0.905 0.995 1.000 1.000 0.2 0.819 0.982 0.999 1.000 0.3 0.741 0.963 0.996 1.000 0.4 0.670 0.938 0.992 0.999 1.000 Lambda 0.5 0.607 0.910 0.986 0.998 1.000 0.6 0.549 0.878 0.977 0.997 1.000
Table I Standard Normal Distributionarea ZZ 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 3.1 3.20.00 0.0000 0.0398 0.0793 0.1179 0.1554 0.1915 0.2257 0.2580 0.2881 0.
Future value of \$1 compounded annuallyYears to Maturity1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Rate in Percent4.0 1.0400 1.0816 1.1249 1.1699 1.2167 1.2653 1.3159 1.3686 1.4233 1.4802 1.5395 1.6010 1.6651
Present value of a dollar in n years, compounded annuallyYears to Maturity1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Rate in Percent4.0 0.9615 0.9246 0.8890 0.8548 0.8219 0.7903 0.7599 0.7307 0.7026 0.6756 0.
Future value of \$1 compounded monthlyYears to Maturity1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Rate in Percent4.0 1.0407 1.0831 1.1273 1.1732 1.2210 1.2707 1.3225 1.3764 1.4325 1.4908 1.5516 1.6148 1.6806 1
Present value of a dollar in n years, compounded monthlyYears to Maturity1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Rate in Percent4.0 0.9609 0.9232 0.8871 0.8524 0.8190 0.7869 0.7561 0.7265 0.6981 0.6708 0.6
Future value of \$1 annual Sinking Fund compounded annuallyYears to Maturity1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Rate in Percent4.0 1.0000 2.0400 3.1216 4.2465 5.4163 6.6330 7.8983 9.2142 10.5828 12.0061
Present Value of \$1 Annuity at Rate r for n Years Interest Rate in percentn\r 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 40 50 1 0.9901 1.9704 2.9410 3.9020 4.8534 5.7955 6.7282 7.6517 8.5660 9.4713 10.3676 11.2
Future value of \$1 monthly Sinking Fund compounded monthlyYears to Maturity1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Rate in Percent4.0 12.2225 24.9429 38.1816 51.9596 66.2990 81.2226 96.7542 112.9185 129.74
Present Value of an annuity to pay \$1 per month.Years to Maturity1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Rate in Percent4.0 11.7831 23.1050 33.9837 44.4365 54.4801 64.1305 73.4031 82.3128 90.8737 99.0994 1
The annual payment on an installment loan (mortgage) of \$1 Interest Raten \ r 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 4.0% 1.0400 0.5302 0.3603 0.2755 0.2246 0.1908 0.1666 0.1485 0.1345 0.1233 0.1141 0.1066 0
The monthly payment on a \$1000 installment loan (mortgage) Interest Raten \ r 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 4.0% 85.1499 43.4249 29.5240 22.5791 18.4165 15.6452 13.6688 12.1893 11.0410 10.1245 9.376
Berkeley - CS - 150
University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Science (SOLUTIONS) EECS 150 Fall 2005 R. H. KatzProblem Set # 9 (Assigned 2 November, Due 18 November)1. Derive a table to show the cove
Boise State - EDTECH - 513
EDTECH 513 Module 2Wednesday, January 28 2009, 3:34 PM Hello everyone and welcome to another week of EdTech 513: Multimedia. This week you'll start reading from the textbook (I think you'll like it . . . it is pretty easy and interesting reading) an
Boise State - EDTECH - 513
International Journal of Educational Research 31 (1999) 611}623Chapter 5Multimedia aids to problem-solving transferRichard E. Mayer*Department of Psychology, University of California, Santa Barbara, CA 93106, USAAbstract How can students be h
Boise State - EDTECH - 513
twinIsles.dev&gt;ResearchLearning and the Impact of Technology twinIsles - http:/www.twinisles.com/dev - 2003Learning and the Impact of TechnologyAbstractThis paper begins by defining educational technology. It continues by considering what is
University of Texas - CS - 329
Pattern PracticeA. Given that \$x = &quot;A list of 12 short Computer Science homework problems&quot;; which of the following are true? 1) \$x =~ /computer/ 2)\$x =~ /science/i 3)\$x =~ /u.*u/B. What is the value of \$&amp; (the matched subs
University of Texas - CS - 329
#! /usr/bin/perlprint &quot;Content-type: text/html\n\n&quot;;if (\$ENV{&quot;REQUEST_METHOD&quot;} eq &quot;POST&quot;) { read(STDIN, \$datastring, \$ENV{&quot;CONTENT_LENGTH&quot;});}elsif (exists \$ENV{&quot;REQUEST_METHOD&quot;}) {# data from GET transaction (or HEAD or other) \$datastri
University of Texas - CS - 329
8:00 am,Tom Jacob,9:00 am,Nishay Sharma,10:00 am,k,11:00 am,12:00 pm,1:00 pm,2:00 pm,3:00 pm,4:00 pm,5:00 pm,
Uni. Westminster - NPH - 0215
FREEDOMLive Beyond Noah HatzungFREEDOM exemplifies the freedom of skiing in the open spaces and narrow places of Mountains across the world. FREEDOM provides riders from all cultures an opportunity to experience the Mountain s
Uni. Westminster - NPH - 0215
(Here's the first of two pages) ILUMA V-WorksTM and ILUMA V-Implant software are powerful 3D medical imaging and surgery simulation programs using CT and MR data. ILUMA V-Works Key Features in this innovative software package are patient/study databa
Uni. Westminster - NPH - 0215
Here's my revised text-idea direction. I think we should have a splash page. (Maybe a cool version of their logo) Then Ist page. Flag from pdf with the row of images from url will look good. I think the Kodak logo should be closer to the name I think
Uni. Westminster - NPH - 0215
It starts when you're a kid. Your parents bring you on a hike in the mountains in Yellowstone. In the winter your family goes to a resort in Utah called The Canyons. Your parents may like it, are impartial, or they hate it. Your parents end up really
Uni. Westminster - NPH - 0215
Uni. Westminster - NPH - 0215
BeerImported Keg Fresh Domestic Keg Fresh Pitcher Keg Fresh Imported Bottles Domestic Bottles4 4 15 3 3CocktailsMojito Margarita Manatee Mojo Blended Delights Your Cocktail Daily Drink6 6 6 6 6 6in the Begenning.Jamaican Wings Salsa and
Uni. Westminster - NPH - 0215
Uni. Westminster - NPH - 0215
SPLASH PAGE Quotes: &quot;IMTEC Imaging's ILUMATM is hands down the state-of-the-art CBCT with the Leading imaging hardware and software combination.&quot; James Meh, DDS, MSc, DMSc Clinical Professor USC &amp; UNLV&quot;The ILUMA Cone Beam CT by IMTEC Imaging is so
Uni. Westminster - NPH - 0215
The All in One Radiographic Scanner.Iluma CTContact UsIMTEC Imaging Corporate Office IMTEC Plaza 2401 North Commerce Ardmore, Oklahoma, USA73401 Phone: 580.223.4456 Toll Free: 866-ILUMACT (866.456.6228) Fax: 800.986.9574 (US) Fax: 580.223.4561 Int
Uni. Westminster - NPH - 0215
Uni. Westminster - NPH - 0215
American Ski Company, (ASC) has sold many ski and snowboard resorts on both sides of the nation to focus their resources on a special ski and snowboard resort nestled in the Wasatch mountain range in northeastern Utah. ASC decided that The Canyons Re
Uni. Westminster - NPH - 0215
Uni. Westminster - NPH - 0215
1st attempt at logo for Young Leaders Association By Noah HatzungY oung L eadersL e a dA ssociation
JMU - CS - 430
LISP(+23) This form adds the numbers 2 and 3. (+(*22)(*33) This form squares the number 2 and sends it as the first argument to the addition operator. The number 3 is squared and sent as the second argument. Then 4 and 9 are added. If you wanted to
JMU - CS - 239
Class Paradigm VisualDiagram1 for UML Standard Edition(James Madison University)GradeBook -name : String -categories : GradeCategory[] -students : Student[] -errNoCat() : String -errSameCat(name : String) : String -errNoStu() : String -errSameStu(na
JMU - CS - 239
Visual Paradigm for UML Standard Edition(James Madison University) Class Diagram1Ledger DukesFlukesRoot +main(args : String []) : void -ledger : Customer[] +Ledger(customers : Customer []) +addNewCustomer(aCustomer : Customer) : void +toString() : S
Uni. Westminster - NPH - 0215
ADOBE INDESIGN PRINTING INSTRUCTIONS FOR SERVICE PROVIDER REPORTPUBLICATION NAME: ones and zero mag.inddPACKAGE DATE: 3/22/2007 6:31 PMCreation Date: 3/13/2007Modification Date: 3/22/2007CONTACT INFORMATIONCompany Name: Contact: Address:
Uni. Westminster - NPH - 0215
taking you from bits to bytesm a rc h 2 0 0 7\$6.99which programing anguage should I learn?lmigrating to amac networkcloser than we thinkMRAM:interview with RUBY creator Yukihiro Matsumoto
NJIT - IE - 673
Total Quality ManagementIntroduction F.J. ReissIE673 Session 1 - Introduction 1Course Objectives Gain understanding of TQM initiative Foster analytical &amp; objective thinking Learn use of tools &amp; techniquesIE673Session 1 - Introduction2C
NJIT - IE - 673
Team DynamicsNGT, Leadership, FacilitationIE673Session 2 - Team Dynamics1NGT Step 1 Silent generation of ideas Review task statement with group Each member silently generates ideas Write each idea on a separate 3 x 5 card Limit to a 5 t
NJIT - IE - 673
Customer Relationships(The Voice of the Customer)IE673Session 4 - Customer Relationships1Supplier - Process - Customer ModelSupplierProcessCustomerIE673Session 4 - Customer Relationships2Two Approaches Customer Value Managemen
NJIT - IE - 673
Process ManagementIE673Session 5 - Process Management1Objectives To map a system's fundamental elements To select key processes for improvement To construct Deployment Flow Charts To determine meaningful measures To analyze flowcharts fo
NJIT - IE - 673
Process ImprovementIE 673Session 6 - Process Improvement1Problem Solving Problem finding Problem stating Option finding Deciding Taking Action Evaluating resultsSession 6 - Process Improvement 2IE 673Problem Finding You find it or
NJIT - IE - 673
Process Improvement(Continued)IE 673Session 7 - Process Improvement (Continued)1Introduction to Design of Experiments (DOE) Quickly optimize processes Reduce development time Reduce manufacturing costs Reduce scrap and rework Increas
NJIT - IE - 673
Business Process Reengineering(BPR)IE673Session 8 - BPR1Value Metrics Quality Service Cost Cycle TimeIE673Session 8 - BPR2Value MetricsQuality Value = CostXServiceX Cycle TimeIE673Session 8 - BPR3The Crisis Often
NJIT - IE - 673
Supply ManagementIE673Session 9 - Supply Management1Old Model Based on price Pit suppliers against each other Adversarial relationshipIE673Session 9 - Supply Management2New Model Awareness/acceptance of new model Raising the Mate
NJIT - IE - 673
Quality Management SystemISO 9000IE673Session 10 - ISO 90001What is ISO 9000?A series of standards that outline the requirements for a quality management system.IE673Session 10 - ISO 90002The ISO 9000 Series ISO 9000 - Quality Mana
NJIT - IE - 673
Total Quality Management This not a course on quality This course on Management. Management of the Process. -Quality is a dynamic state associated with products, services, people, processes and environments that meet or exceed expectations. -Qualit
Old Dominion - CS - 355
I have neither given nor received unauthorized aid on this examination, nor do I have reason to believe that anyone else has.Name (printed)SignatureC S 355 Principles of Programming Languages Final Exam Fall 2001Instructions: This is an close
Old Dominion - CS - 355
I have neither given nor received unauthorized aid on this examination, nor do I have reason to believe that anyone else has.Name (printed)SignatureC S 355 Principles of Programming Languages Midterm Exam Fall 2001Instructions: This is an clo
Washington - STAT - 217
What statistical tests should you include in Should you your portfolio assignment? include SPSS output? Single-sample tests z-test for means No t-test for means* Yes z-test for proportions No t-test for correlations No z-test for correlations No 2 t
Washington - STAT - 217
Psych 218 (W 2001): Portfolio Assignment Q. Why? A. The importance of developing a mastery of the various statistical techniques you've learned in class and of learning the appropriate circumstances in which to apply these techniques cannot be ove
Washington - STAT - 217
Sample Portfolio Entry: One-sample t-test for means This test is used when the standard deviation of the population is not known. The standard error of the t statistic is based on an estimate of the population standard deviation. Example (Equity the
Washington - STAT - 217
Source table for a oneway ANOVA. Group1 5.82 26 0.59 Group2 5.41 19 0.50The formulas for the ANOVA table are in the cells. Group3 5.70 23 0.65 Group4 5.23 16 0.51Mean n SDN number of grps Overall Mean84 4 5.58Computed Anova Summary Table So
Washington - STAT - 217
Psych 218 Third SPSS Tutorial Multiple ComparisonsYou are researching treatments for substance abuse, and your main outcome of interest is the number of days in which participants use substances (per month). You randomly assign 40 participants to 4