Sample of Math Ia Essay - 2543 Words

Plan of Investigation While watching National Hockey League (NHL) games, I often heard the play-by-play announcer mention at the start of the third and final period how it would be tough for a team to come back from a one goal deficit. This led me to wonder just how difficult it was mathematically, and how much previous periods affected the final one. In this project, I will investigate whether the scores at the end of the first period affect the final score of NHL games. I will gather the scores of 200 hockey games between 2005-2008 from the nhl.com website. I chose these years because the type of hockey before and after the new Collective Bargaining Agreement is different in terms of goals scored per game, with more goals scored per†¦show more content†¦The trendline, known as the line of best fit or the least squares regression line, shows the linear equation which best explains the sums up the data’s trend. The formula on the right is the formula of the line of best fit. As can be observed from these plots, teams who win at the end of the first period have a much larger range of data, with 26 separate points versus 14 separate points on Team B’s graph. Since the scatter plot does not use a thicker dot when numerous teams share one place on the plot, this suggests that teams who lose at the end of the first period tend to have similar scores, as they have twelve fewer points than teams who win. If a team loses in the first period, this means that its X-range must be smaller than that of the winning team. Since 9/26, or almost 35%, of Team A’s points are on 3 or 4 on the X-axis, it is logical for Team A to have a larger range. However, even disregarding 3 and 4 on the X-axis, Team A’s range is still larger than that of Team B’s. There is a greater spread of data on the Y-axis of Team A, as well. Note that when Team A scores one goal in the first period, there are instances of them ending the third period with five or six goals. However, when Team B scores one goal in the first period, the most goals they ended up with is only four. This pattern is repeated when the teams score two goals in the first period. With Team A, there are instance(s) when they end up with seven; withShow MoreRelatedGary Dessler Human Resource Management 14th Edition1672 Words   |  7 PagesGARY DESSLER HUMAN RESOURCE MANAGEMENT 14TH EDITION.PDF NOW Other ebooks PDF you can access on our library: Trigonometry Answers Online, Answers Nims 700, Answers In Hsa Algebra 2014 Answer Key, American Red Cross First A Test Answers, Grade 11 Maths Literacy Exam Papers Answers, Advanced Thermodynamics For Engineers Wark Solution Manual, Mcdougal Biology Chapter Review Answers, Electrostatics Class 12 Ncert Solutions, Solution Of Quantum Mechanics By Liboff, Everfi Module Taxes And Insurance AnswersRead MoreIs Capital Punishment a Deterrent? Murder Rates Compared with Execution Rates in Texas, and on a National Level1486 Words   |  6 PagesIB Math Studies IA Is Capital Punishment a Deterrent? | Murder Rates compared with Execution Rates in Texas, and on a National Level | | The United States of America is one of the only democratic countries that still use capital punishment. This has raised a rather extensive debate, especially over the last 4 decades. I became interested in this issue in 2011 after the controversy surrounding the execution of Troy Davis, and the issue has remained. In my research, one argumentRead MoreGrowth Of China s Population Over Time : Will China Explode Or Become Bankrupt First?1833 Words   |  8 PagesGrowth of China’s Population Over Time: Will China Explode or Become Bankrupt First? Natalee Jamerson IB SL Math IA 24 May 2016 It is known that China is extremely overpopulated with its 1,354,040,000 citizens as of January 2013 and â€Å" as of September 2013, that number had grown even further to 1,360,720,000†. There’s â€Å"363.3 people per square mile!† (WPR). I’ve been interested in the future of our world and what will happen as we continue to grow. Knowing that â€Å"China represents 19.48 percent of theRead MoreA Study Based on Rosenbergs Research1764 Words   |  8 Pagesenvironmental interaction and personal experiences. James (1982) suggested that identity development starts when children recognize their existence in environment is separate from others, this development is called the existential-self (referred as à ¢Ã¢â€š ¬Ã‹Å"Ià ¢Ã¢â€š ¬Ã¢â€ž ¢). This existential-self further develops into categorical-self (referred as à ¢Ã¢â€š ¬Ã‹Å"meà ¢Ã¢â€š ¬Ã¢â€ž ¢), which involves the recognition of oneà ¢Ã¢â€š ¬Ã¢â€ž ¢s physical characteristics. Bannister and Agnew (1977) observed that childrenà ¢Ã¢â€š ¬Ã¢â€ž ¢s self-awareness developed with age. YoungerRead Moreme I and me7467 Words   |  30 Pagestion. Provide  an  appropriate  response. 8) A  survey  of  1602  American  households  found  that  32%  of  the  households  own  a  DVD  recorder.  Identify  the population,  the  sample,  and  the  individuals  in  the  study. 9) A  survey  of  1015  American  households  found  that  78%  of  the  households  own  at  least  two  bicycles.  Identify the  population,  the  sample,  and  the  individuals  in  the  study. Page  1 MULTIPLE  CHOICE.  Ã‚  Choose  the  one  alternative  that  best  completes  the  statement  or  answers  the  question. 10) Parking  aRead MoreIB EE GUIDE9051 Words   |  37 Pagesyou can’t think of any keywords, start with your question: e.g. Does the addition of e-learning systems improve the performance of students in mathematics? Then add any other words you think are important, e.g. online, digital, school, grades, maths. Easy! Choose the correct sources Your essay must include a mixture of sources from: websites, books, journals, news items, primary sources, your own research. You will lose marks for over-using Wikipedia. You will lose marks if you only haveRead More_x000C_Introduction to Statistics and Data Analysis355457 Words   |  1422 Pagesand Data Analysis This page intentionally left blank Introduction to Statistics and Data Analysis Third Edition Roxy Peck California Polytechnic State University, San Luis Obispo Chris Olsen George Washington High School, Cedar Rapids, IA Jay Devore California Polytechnic State University, San Luis Obispo Australia †¢ Brazil †¢ Canada †¢ Mexico †¢ Singapore †¢ Spain †¢ United Kingdom †¢ United States Introduction to Statistics and Data Analysis, Third Edition Roxy Peck, Chris OlsenRead MoreAll the Mathematics You Missed but Need to Know for Graduate School17996 Words   |  72 PagesAlgorithms 16.1 Algorithms and Complexity . 16.2 Graphs: Euler and Hamiltonian Circuits 16.3 Sorting and Trees. . . . . . . . . . .. 16.4 P=NP? . 16.5 Numerical Analysis: Newton s Method 16.6 Books .. 16.7 Exercises . A Equivalence Relations Preface Math is Exciting. We are living in the greatest age of mathematics ever seen. In the 1930s, there were some people who feared that the rising abstractions of the early twentieth century would either lead to mathematicians working on sterile, silly intellectualRead MoreEssay about Gendered Media9688 Words   |  39 Pagesmales (Craft, 1988; Sanders Rock, 1988). Despite educators’ criticism of self-fulfilling prophecies that discourage girls from success in math and science, that stereotype was dramatically reiterated in 1992 when Mattel offered a new talking Barbie doll. What did she say? â€Å"Math class is tough,† a message that reinforces the stereotype that women cannot do math (â€Å"Mattel Offers Trade-In,† 1992). From children’s programming in which the few existing female characters typically spend their time watchingRead MoreUsing Stata for Principles of Econometrics73612 Words   |  295 Pagesmodels 381 16.5 Models for count data 384 16.6 Cens ored data models 389 16.6.1 Simulated data example 389 16.6.2 Mroz data example 392 16.7 Selection bias 395 KeyTerms 401 Chapter 16 Do-file 401 Appendix A Review of Math Essentials 406 A.l Stata math and logical operators 406 A.2 Math functions 407 A.3 Extensions to generate operations 408 AA The calculator 409 A.5 Scientific notation 409 Key Terms 410 Appendix B Review of Probability , Concepts 411 B.1 Stata probability functions 411 B_2 Binomial