18 Pages

forecasting_assignment_answers_sheet_Solutions

Course: H ADM 301, Fall 2007
School: Cornell
Rating:
 
 
 
 
 

Word Count: 663

Document Preview

A Q1 B2 C D E Forecast for October 2006 Nave Moving Average (four periods) Weighted moving average (0.7, 0.3) Weighted moving average (0.5, 0.3, 0.2) Exponential smoothing (alpha = 0.65) Forecast 702 636 724.5 702.7 698.8 BIAS 13 34 20 25 19 MAD 134 172 133 140 129 MSE 24,784 40,342 24,800 29,041 24,760 Q2 A B C Q3 A B Q4 Best method If biis is the criteria: Nave method if MAD is the criteria: Exponential...

Register Now

Unformatted Document Excerpt

Coursehero >> New York >> Cornell >> H ADM 301

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.
A Q1 B2 C D E Forecast for October 2006 Nave Moving Average (four periods) Weighted moving average (0.7, 0.3) Weighted moving average (0.5, 0.3, 0.2) Exponential smoothing (alpha = 0.65) Forecast 702 636 724.5 702.7 698.8 BIAS 13 34 20 25 19 MAD 134 172 133 140 129 MSE 24,784 40,342 24,800 29,041 24,760 Q2 A B C Q3 A B Q4 Best method If biis is the criteria: Nave method if MAD is the criteria: Exponential smoothing if MSE is the criteria: Exponential smoothing Best weights Best alpha = 0.670 W1 = 1; W2 = 0, W3 = 0 Regression Regression Equation Revenue = -2585.98 + 79.04 (Room Nights) The model is very good. Adjusted R-Square is 0.928 which means 92.8% of variation is revenue is explained by Ro Prediction for 675 room-nights sold $50,766.02 iation is revenue is explained by Room Nights sold Data Month 2005 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2007 January February March April May June July August Room-Nights Sold 307 257 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 Revenue $20,492 $19,275 $23,925 $23,983 $30,919 $35,782 $67,037 $52,565 $29,624 $53,288 $41,846 $40,384 $22,481 $16,616 $20,064 $26,910 $32,361 $34,935 $56,702 $46,389 $29,295 $57,443 $39,563 $45,990 $21,804 $15,437 $22,815 $23,865 $31,506 $49,812 $61,189 $45,806 Page 3 Naive Month 2005 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2007 January February March April May June July August September RoomNights Sold Nave A-F ABS(A-F) 307 257 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 -50 33 33 102 164 202 -148 -189 271 -178 58 -330 -66 95 8 157 79 186 -76 -238 270 -197 91 -268 -65 87 32 102 121 184 -75 50 33 33 102 164 202 148 189 271 178 58 330 66 95 8 157 79 186 76 238 270 197 91 268 65 87 32 102 121 184 75 A-F)^2 2500 1089 1089 10404 26896 40804 21904 35721 73441 31684 3364 108900 4356 9025 64 24649 6241 34596 5776 56644 72900 38809 8281 71824 4225 7569 1024 10404 14641 33856 5625 307 257 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 BIAS 13 MAD 134 MSE 24,784 Page 4 MA4 Month 2005 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2007 January February March April May June July August September RoomNights Sold Moving Average 4 Time Periods A-F ABS(A-F) A-F)^2 307 257 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 294 324 407 532 612 619 653 592 583 538 409 348 275 324 408 516 602 590 626 565 547 521 411 372 319 358 443 553 636 131 265 384 111 -158 106 -106 13 -308 -329 -105 -36 194 225 326 142 -182 100 -133 19 -231 -270 -73 -2 153 235 334 149 130.8 265.3 384.3 111.0 158.0 105.8 106.3 12.8 307.8 329.0 105.0 36.3 194.0 224.5 325.8 142.3 182.3 100.0 132.5 18.8 230.8 269.8 73.0 2.3 153.3 235.3 333.8 149.0 17095.6 70357.6 147648.1 12321.0 24964.0 11183.1 11289.1 162.6 94710.1 108241.0 11025.0 1314.1 37636.0 50400.3 106113.1 20235.1 33215.1 10000.0 17556.3 351.6 53245.6 72765.1 5329.0 5.1 23485.6 55342.6 111389.1 22201.0 BIAS 34 MAD 172 MSE 40,342 Page 5 WMA2 Month 2005 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2007 January February March April May June July August September RoomNights Sold 307 257 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 Wt moving average (0.7, 0.3) A-F ABS(A-F) A-F)^2 272 280 313 394 540 730 687 511 644 600 588 374 229 276 310 422 524 678 681 491 609 552 557 396 271 312 360 441 557 722 725 18 43 112 195 251 -87 -233 214 -97 5 -313 -165 75 37 159 126 210 -20 -261 199 -116 32 -241 -145 68 58 112 152 220 -20 18.0 42.9 111.9 194.6 251.2 87.4 233.4 214.3 96.7 4.6 312.6 165.0 75.2 36.5 159.4 126.1 209.7 20.2 260.8 198.6 116.0 31.9 240.7 145.4 67.5 58.1 111.6 151.6 220.3 19.8 324.0 1840.4 12521.6 37869.2 63101.4 7638.8 54475.6 45924.5 9350.9 21.2 97718.8 27225.0 5655.0 1332.3 25408.4 15901.2 43974.1 408.0 68016.6 39442.0 13456.0 1017.6 57936.5 21141.2 4556.3 3375.6 12454.6 22982.6 48532.1 392.0 BIAS 20 MAD 133 MSE 24,800 Page 6 WMA2 WT1 WT2 0.7 0.3 Page 7 WMA3 Month 2005 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2007 January February March April May June July August September RoomNights Sold 307 257 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 Wt moving average (0.5, 0.3, 0.2) A-F ABS(A-F) A-F)^2 284 300 367 487 657 677 578 627 582 612 428 308 270 289 389 477 625 659 554 538 603 578 432 337 308 337 415 512 661 703 40 125 222 304 -14 -223 147 -80 23 -337 -219 -4 42 180 159 257 33 -239 136 -110 47 -262 -181 1 63 135 178 265 41 39.5 1560.3 125.1 15650.0 221.6 49106.6 304.4 92659.4 14.2 201.6 222.6 49550.8 146.9 21579.6 80.3 6448.1 23.2 538.2 336.6 113299.6 219.4 48136.4 4.0 16.0 42.3 1789.3 180.0 32400.0 159.1 25312.8 256.9 65997.6 32.8 1075.8 238.8 57025.4 135.8 18441.6 109.6 12012.2 46.5 2162.3 261.9 68591.6 180.8 32688.6 0.9 0.8 62.5 3906.3 135.4 18333.2 178.4 31826.6 264.9 70172.0 41.2 1697.4 BIAS 25 MAD 140 MSE 29,041 Page 8 WMA3 WT1 WT2 WT3 0.5 0.3 0.2 Page 9 ES Month 2005 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2007 January February March April May June July August September RoomNights Sold 307 257 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 Exponential smoothing A-F ABS(A-F) 307 307 275 285 310 385 517 695 661 527 656 585 598 388 272 293 305 412 500 652 656 503 624 539 568 404 305 326 355 431 536 693 699 -50 16 38 115 204 274 -52 -207 198 -109 20 -323 -179 32 19 164 136 234 6 -236 187 -131 45 -252 -153 33 44 117 162 241 9 A-F)^2 50.0 2500.0 15.5 240.3 38.4 1476.5 115.4 13328.4 204.4 41782.2 273.5 74825.5 52.3 2731.1 207.3 42969.6 198.4 39381.7 108.5 11781.6 20.0 400.4 323.0 104326.8 179.0 32058.5 32.3 1045.4 19.3 373.1 163.8 26817.6 136.3 18582.1 233.7 54620.7 5.8 33.6 236.0 55682.0 187.4 35122.6 131.4 17267.6 45.0 2025.7 252.2 63628.7 153.3 23496.8 33.3 1112.2 43.7 1907.3 117.3 13755.9 162.0 26260.2 240.7 57944.9 9.3 85.6 BIAS 19 MAD 129 MSE 24,760 Page 10 ES Alpha 0.65 Page 11 ES_BEST Month 2005 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2007 January February March April May June July August September RoomNights Sold 307 257 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 Exponential smoothing A-F ABS(A-F) 307 307 274 285 310 387 522 702 663 523 658 584 598 382 266 291 305 415 504 658 658 499 627 537 569 399 300 325 355 433 540 699 701 -50 16 38 115 202 269 -59 -209 202 -111 21 -323 -173 38 21 164 133 230 0 -238 191 -134 47 -253 -148 38 45 117 160 237 3 A-F)^2 50.0 2500.0 16.5 271.5 38.4 1478.0 114.7 13157.0 201.9 40765.2 268.7 72209.9 59.2 3504.9 208.6 43498.6 202.1 40836.5 111.2 12370.5 21.2 451.4 323.0 104315.5 172.7 29835.0 37.9 1438.1 20.5 421.5 163.8 26825.4 133.1 17721.6 230.0 52895.5 0.0 0.0 238.0 56644.0 191.4 36616.0 133.8 17893.8 46.8 2189.9 252.5 63774.5 148.5 22037.5 37.9 1439.8 44.5 1983.7 116.7 13623.0 159.6 25462.4 236.7 56040.9 3.2 10.4 BIAS 19 MAD 128 MSE 24,587 Page 12 ES_BEST Alpha 0.670 Page 13 WMA3_BEST Month 2005 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2007 January February March April May June July August September RoomNights Sold 307 257 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 Wt moving average (0.5, 0.3, 0.2) A-F ABS(A-F) A-F)^2 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 33 102 164 202 -148 -189 271 -178 58 -330 -66 95 8 157 79 186 -76 -238 270 -197 91 -268 -65 87 32 102 121 184 -75 33.0 1089.0 102.0 10404.0 164.0 26896.0 202.0 40804.0 148.0 21904.0 189.0 35721.0 271.0 73441.0 178.0 31684.0 58.0 3364.0 330.0 108900.0 66.0 4356.0 95.0 9025.0 8.0 64.0 157.0 24649.0 79.0 6241.0 186.0 34596.0 76.0 5776.0 238.0 56644.0 270.0 72900.0 197.0 38809.0 91.0 8281.0 268.0 71824.0 65.0 4225.0 87.0 7569.0 32.0 1024.0 102.0 10404.0 121.0 14641.0 184.0 33856.0 75.0 5625.0 BIAS 14 MAD 140 MSE 26,370 Page 14 WMA3_BEST WT1 WT2 WT3 Sum Wts 1 0 0 1 Page 15 REGRESSION Month 2005 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2007 January February March April May June July August Room-Nights Sold 307 257 290 323 425 589 791 643 454 725 547 605 275 209 304 312 469 548 734 658 420 690 493 584 316 251 338 370 472 593 777 702 Revenue $20,492 $19,275 $23,925 $23,983 $30,919 $35,782 $67,037 $52,565 $29,624 $53,288 $41,846 $40,384 $22,481 $16,616 $20,064 $26,910 $32,361 $34,935 $56,702 $46,389 $29,295 $57,443 $39,563 $45,990 $21,804 $15,437 $22,815 $23,865 $31,506 $49,812 $61,189 $45,806 Page 16 REGRESSION SUMMARY OUTPUT Regression Statistics Multiple R 0.96 R Square 0.93 Adjusted R Square 0.93 Standard Error 3850.35 Observations 32 ANOVA df Regression Residual Total 1 30 31 SS ### ### ### MS ### ### F Significance F 402.56 0 Intercept Room-Nights Sold Coefficients Standard Error t Stat P-value Lower 95%Upper 95% Lower 95.0% -2585.98 2022.59 -1.28 0.21 -6716.67 1544.7 -6716.67 79.04 3.94 20.06 0 71 87.09 71 Page 17 REGRESSION Upper 95.0% 1544.7 87.09 Page 18
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:

Cornell - H ADM - 243
HA301: Forecasting Assignment Due Date: September 21 Please refer to forecasting.xls file posted on Blackboard site (under course documents folder excel file sub-folder). I. Use the following methods to forecast demand for room-nights for the month
Cornell - H ADM - 301
DataMonth 2005 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2007 January February March April May June July August
Cornell - GOVT - 3181
The Behavioral Foundations of the Midterm EffectJohn Wiggs Patty Department of Social and Decision Sciences Carnegie Mellon University April 8, 2004Abstract In this paper, we provide a general theory of political participation based on behavioral
Cornell - GOVT - 3181
mondaymay12th911:30am 5IDs 2Essays ExtraCreditPaper:duelastdayofclassdoublespaced57pages goseeTAinofficehouseB11whitehall Wednesday4:305:00 MondaybeforeclassLobbying Direct Social Grassroots: Coalition:groupspoolresourcestogethertoinfluencecongress
Cornell - GOVT - 3181
The Do-Nothing 109th Congress: The Days in Session for the 109th Congress Compared to Previous Congresses from 1947-2006Paul Blumenthal The Sunlight FoundationIntroduction: The second session of the 109th Congress is set to spend the least amount
Cornell - GOVT - 3181
Organized labor Public policy can enhance or diminish power of organized groups Dems drew upon campain assistance of the body of liberal college students and college educated people Publicpolicy reflected the interests of the most organized social gr
Cornell - GOVT - 3181
The 2006 midterm election were characterized by an all out democratic takeover. Democrats won the majority of the seats in both the house and the senate, taking 233 seats in the house and 51 in the senate, assuming we count both independents as democ
Cornell - GOVT - 3181
Iraqwasmostimportantconsideration:largemajoritysupportedwithdrawaloftroopsor disapprovalofwar nationallyorientedratherthanlocally ExitpollsshowedthatalargechunkoftheelectoratehadvotedforDemocratsorfor thirdpartiesspecificallybecauseofpersonaloppositi
Cornell - GOVT - 3181
CongressandThePresident:DomesticPolicy Shefter's1stlaw:AccountabilityProducesResponsibility Shefter's2ndLaw:RegimewillPursuepublicpolicythatservesinterests.InterestswhichhelpedestablishtheNewDealandthenwerestrengthenedbyit: Labourmovement Elderly:g
Cornell - AEM - 2220
Energizer Case Analysis 4/14/2006 Problem: Proctor and Gamble has recently conducted an acquisition of Gillette for 57 billion dollars. This act has taken Energizers primary competitor, Gillette, and placed it in the arms of an extremely powerful and
Cornell - AEM - 2220
Dominion Motors & Controls, Ltd. 2/3/2006 Problem: Dominion Motors & Controls Ltd. has had a relatively stable and significant holding in the market for Oil Pumping in Northern Canada through the early 1980s. However, recent field tests have yielded
Cornell - AEM - 2220
Kristens Cookie Company 2/16/2006 Problem: Kristens Cookie Company has the potential to generate profit however it lacks a business plan necessary for success. Furthermore, the company idea currently has little to no room for growth. Possible Solutio
Cornell - AEM - 2220
Holding Fast 2/24/2006 Problem: Crescordia is a company that has established a strong hold in the market for medical hardware, including artificial hips, scalpels, and screws. Their lofty reputation has been developed partly through top tier products
Cornell - AEM - 2220
Lands End Case Analysis March 10, 2006Problem: Lands End is at a crossroad along its lifes course which has spanned almost fifty years. Over the last few years it has struggled in maintaining positive growth in profits, although recently it has beg
Cornell - AEM - 2220
Dynashears Incorporated Case Analysis 3/31/2006 Problem: Dynashears had recently become affiliated with Wellington National Bank of New York sometime in early 1990. At the time the company had been consistently making profits and growing since 1958.
Cornell - AEM - 3200
AEM 320; NBA 560 Business Law I Fall, 2006 Property and Agency Review Problems 1. Dave, a computer science professor at Cornell, used the inheritance he received from his uncle to buy the Colonial Building on the Commons in downtown Ithaca. He entere
Cornell - AEM - 2220
Business Law I Property/Agency Review Answers Fall, 20061.a. New York Labor Law 240 makes an owner liable without fault for injuries sustained by third parties during construction projects. If there is no reference to the statute, than Dave will
Cornell - AEM - 3240
Return, risk, and portfolio theory Return, where Pt is the stock price at time t, D1 is the dividend paid at time 1 Return = (Ending Value Beginning Value)/Beginning Value Return = [(D1 + P1) P0]/P0 Return = (Ending Value/Beginning Value) 1 Return
Cornell - AEM - 3240
Capital Budgeting As agents of the owners, managers should seek to increase stock price; however cash flows are even more important -as an expression of economic value of the shareholders stake in the firm, the stock price represents the markets cons
Cornell - AEM - 3240
Debt Financing Definitions, provisions, variations 1. Asset based financing -many small and medium sized companies that do not have a good enough credit standing to permit unsecured borrowing use this mode of financing -a bank or commercial finance c
Cornell - AEM - 3240
Chapter 18 Dividends and dividend policy Dividends: cash paid out of earnings; direct payment by corporation to its shareholders o If cash is paid out of sources besides current or accumulated retained earnings, it is called distribution (also known
Cornell - AEM - 3240
Equity Financing Definitions 1. Initial public offering (IPO) -a corporations first offering of stock to the public -almost invariably an opportunity for the existing investors and participating venture capitalists to make big profits, since for the
Cornell - AEM - 3240
Chapter 17 Financial Leverage and Capital Structure Policy Choosing a capital structure that alters the debt-equity ratio in order to maximize the value of a share of stock o Essentially maximizing the value of the firm as a whole The value of
Cornell - AEM - 3240
Chapter 25 Mergers and acquisitions General problems that come up in the area of finance regarding mergers and acquisitions o Benefits of acquisitions depend on such things as strategic fits Difficult to precisely define o There can be complex acco
Cornell - AEM - 4140
Problem Set 2 1. The article discusses the amazing winning streak that a major league baseball team, the Colorado Rockies went on heading into the playoffs this year. It also talks about hypothetical playoff success based on such a streak. This is ob
Cornell - AEM - 4140
Lecture I Introduction Standard economic theory predicts behavior based upon rational choices. A simple definition of a rational choice might be: a choice calculated to maximize the well-being (utility) of the individual. As a model of behavior, thi
Cornell - AEM - 4140
Auctions The Vickrey auction (also called a second price sealed bid auction) is designed as follows: Each individual has some certain private value. None of the participants knows the value given to any of the other participants. However, we usually
Cornell - AEM - 4140
Winners Curse Robert Wilson introduced us to this phenomenon in the 1970s. He had sat in at a meeting of executives at a major oil company. The government runs Mineral Lease Auctions, or auctions to sell temporary rights to extract certain resources.
Cornell - AEM - 4140
Overconfidence Socrates is credited with saying that the only thing he knew for certain was that he knew nothing. Unfortunately this is a truth that very few of us can come to grips with. In fact, if we are not forced to use rigorous statistical anal
Cornell - AEM - 4140
Assignment 3 A record-setting contract for the ages: The arena of professional sports has always created opportunities for the media and for capitalists, playing host to some of the most well-known and talented athletes throughout the world. During t
Cornell - AEM - 4140
Problem Set 1 AEM 414 1. a. The rational bid to make in a Vickrey Auction is the private value that you are given. In this case, your bid would be at 45,000 dollars. The rational bid to make in an English Auction is also the private value that you ha
Cornell - AEM - 4370
AEM437 Exam 2 Short Answers: 1. Firms can protect the value of their intellectual assets through four primary methods, namely patents, trademarks, copyrights, and trade secrets. Patents are essentially property rights that protect a process, machine
Cornell - AEM - 4370
AEM 437: Assignment 3 Herman March 25, 2008 CASE ANALYSIS: MILLER SQA1. In 1982, Miller SQA sought to recycle the used furniture of its parent company, Herman Miller, in order to allow its customers to trade in old furniture for new furniture. With
Cornell - AEM - 4370
AEM437 Innovation Strategy Case 1 1. The product ran into a lot of problems along its path to fruition, and was ultimately not developed commercially after a year of work. This occurred for many reasons. One of which is the fact that the initial ide
Cornell - AEM - 4370
AEM437 Innovation Strategy Case 21. In order to assess the commercial opportunity available in a market, many different factors need to be analyzed. First, demographic information needs to be looked at very closely. A densely populated area is alw
Cornell - AEM - 4370
AEM437 Innovation Strategy: Kodak 1. Kodak started to develop technologies for digital imaging in the year 1983. The CEO at the time, Colby Chandler, made the decision to have a new division created. This division was a photographic and information
Cornell - AEM - 4370
AEM437 Innovation Strategy BancZero1. Innovation as a whole in the financial services industry is very different than that in other businesses throughout the world. To start, the financial innovation cycle is very fast. New product development do
Cornell - COMM - 2010
COMM 201 Speech Contest Evaluations Speaker 1: Introduction: The speaker definitely grabbed the attention of the audience at the immediate start of his speech. Furthermore, he established credibility through his vast personal experience in baseball
Cornell - COMM - 2010
1. Intro There is something that all of us do or at least have done at some point. No matter how hard we try to avoid it or beat it, it usually gets the best of us. And although it seems like such a simple entity to defeat, we all seem to give in to
Cornell - COMM - 2010
SPEECH OUTLINEACTUATE SPEECHBeating ProcrastinationSUBJECT: 1. 2. PURPOSE: General subject: Procrastination Specific subject: The benefits of not procrastinatingTo convince my audience that procrastinating is bad and to motivate my listeners to
Cornell - COMM - 2010
Communications 201 Alternative Paper At first, I thought that taking this class would be merely completing another one of the many requirements established by the department of Applied Economics and Management. I did not expect to get much out of it
Cornell - COMM - 2010
SPEECH OUTLINECONVINCE SPEECH File Sharing and the Music Industry SUBJECT: 1. 2. General subject: Music File Sharing Specific subject: The effect of music file sharing on album sales, specifically in the United StatesPURPOSE: To convince my audienc
Cornell - COMM - 2010
Dial-Up Modem Cable ModemDSL Modem
Cornell - COMM - 2010
I never think of the future - it comes soon enough. Patience is the companion of Wisdom. It's a dangerous business, going out your door. You step onto the road, and if you don't keep your feet, there's no knowing where you might be swept off to The p
Cornell - COMM - 2010
How to make peanut butter and jelly: Good morning, my name is Adam Schulman, and today I will be sharing with all of you how to make one of the greatest creations known to man a PB and J or for any of you amateurs, a peanut butter and jelly sandwich.
Cornell - COMM - 2010
SPEECH OUTLINE-INFORMATIVE SPEECH Michael Jordan and his legacy SUBJECT: 1. 2. PURPOSE: To convey information about the early years of Michael Jordans life all the way up until the present day and his living legacy. MAIN POINTS: I.Michael Jordan grew
Cornell - COMM - 2010
http:/www.nbaloud.com/userimages/user1195_1152781808.jpghttp:/morningcup.wordpress.com/files/2006/08/jordan.jpghttp:/www.torsten1.de/images/Basketball/Micheal%20Jordan's %20Famous%20Dunk.jpghttp:/web2.tmu.edu.tw/b101090057/Exercise/Jordan2.jpg
Cornell - COMM - 2010
I never think of the future - it comes soon enough. Patience is the companion of Wisdom. It's a dangerous business, going out your door. You step onto the road, and if you don't keep your feet, there's no knowing where you might be swept off to The p
Cornell - COMM - 2010
SPEECH OUTLINECONVINCE SPEECH TITLE SUBJECT: 1. 2. PURPOSE: MAIN POINTS: I. II. III. CENTRAL IDEA INTRODUCTION BODY I. TRANSITION: General subject: Specific subject:II. TRANSITION:III. CONCLUSION1BIBLIOGRAPHY2
Cornell - PHYS - 203
Homework 111. Two recent comets studied by the HST are Hale-Bopp and Hykutake. An observation about HaleBopp that particularly surprised astronomers was the activation of vents on the surface of the nucleus of the comet. A surprising observation of
Cornell - PHYS - 203
Homework 1 1. Thousands of years ago many cultures created and assigned gods to varying natural phenomena on Earth. There was a god of the sun, the moon, love, etc. Many people believed that Zeus, one of the most powerful gods of them all, could thro
Cornell - PHYS - 203
Homework 2 1. Aristotles observations to support the notion that the earth is a sphere included the shape of the earths shadow on the moon. He noticed that it was curved and so concluded that the earth had to be spherical. Furthermore, he observed th
Cornell - PHYS - 203
Homework 2 1. Aristotles observations to support the notion that the earth is a sphere included the shape of the earths shadow on the moon. He noticed that it was curved and so concluded that the earth had to be spherical. Furthermore, he observed th
Cornell - PHYS - 203
Homework 3 1. As a part of Aristotles theory of elements, he believed that each element could be transformed into another element through the similar qualities that they possess. He also believed that everything is made of matter, and that this matte
Cornell - PHYS - 203
Homework 4 1. Aristotelian professors were unimpressed with Galileos experiments because they chose to ignore the force of evidence. They had a set mentality regarding this area of physics because it had been engrained in them for a long time. The pr
Cornell - PHYS - 203
Homework 5 1. It is possible for a person to travel into the future of another person because say, for instance, that someone travel in space at around the speed of light, c. Upon, his/her return he/she would visit a friend. Now that friend would hav
Cornell - PHYS - 203
Homework 6 1. There is more daylight during the summer than during the winter because of the summer and winter solstices. During the winter solstice the sun travels a higher and longer arc, allowing its light to reach us for more hours of the day. Th
Cornell - PHYS - 203
Homework 8 6. Hipparchus and Tycho made many detailed maps and advancements in the field of astronomy. Tychos observations were definitely more accurate however. He came hundreds of years after Hipparchus and so was able to update old instruments as
Cornell - PHYS - 203
Homework 9 6. Many observations have been made about planetary motion that support the idea that the solar system formed from a rotating cloud of interstellar gas. On clear nights Ptolemy observed dim white patches of light and a rotating cloud of in
Cornell - PHYS - 203
Homework 10 1. Herschel classified nebulae into several categories as follows: I. Bright Nebulae II. Faint Nebulae III. Very faint Nebulae IV. Planetary Nebulae V. Very large Nebulae VI. Very compressed and rich star clusters VII. Compressed clusters