Dependency of a Boxer’s Win rate on Reach and Gender Antonio Paolo Gomez Candidate No. 003902-006 Northbridge International School Cambodia Math Studies Internal Assessment Word Count: 1655 Statement of Task 3 Plan 3 Data 4 Math Processes 5 Simple math processes: 5 Pearson’s Correlation Coefficient r: 7 Chi-Square 8 Discussion/Validity 10 Conclusion 10 Works Cited 11 Statement of Task Boxing is a very well known sport around the world‚ where two disciplined athletes face off in a ring
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Chemistry SL Internal Assessment: Enthalpy Change Design Lab Experiment: Reaction of distilled water and solid sodium hydroxide RESEARCH QUESTION How does the heat released during the reaction between distilled water and Group 1 elements (lithium‚ sodium and potassium) vary as one goes down the group? OBJECTIVE The objective of the experiment is to measure the heat change during the reactions with minimal heat loss to the surroundings. MATERIALS The materials to be used in this experiment
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1 1 1 32 1 1 64 64 1 1 107 106 107 1 1 1511 159 159 1511 1 The aim of this task is to find the general statement for En(r). Let En(r) be the element in the nth row‚ starting with r = 0. First to find the numerator of the sixth row‚ the pattern for the numerator for the first five rows is observed. Since the numerator is the same in each row (not counting
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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
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SL Math Internal Assessment: Stellar Numbers 374603 Mr. T. Persaud Due Date: March 07‚ 2011 Part 1: Below is a series of triangle patterned sets of dots. The numbers of dots in each diagram are examples of triangular numbers. Let the variable ‘n’ represent the term number in the sequence. n=1 n=2 n=3 n=4 n=5 1 3 6
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LOG INVESTIGATION 1. INTRODUCTION The following assessment aims to investigate logarithms and several different expressions. The following sequences (from now on referred to as P roblem1 ) is in the form of an = logmn mk ‚ where n represents the term number and an represents the given answer. 1. a1 = log2 8‚ a2 = log4 8‚ a3 = log8 8‚ a4 = log16 8‚ a5 = log32 8‚ ... 2. a1 = log3 81‚ a2 = log9 81‚ a3 = log27 81‚ a4 = log81 81‚ ... 3. a1 = log5 25‚ a2 = log25 25‚ a3 = log125 25‚ a4 = log625
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Lacsap’s Fractions The aim if this IA is to investigate Lacsap’s Fractions and to come up with a general statement for finding the terms. When I noticed that Lacsap was Pascal spelt backwards I decided to look for a connection with Pascal’s triangle. Pascal’s triangle is used to show the numbers of ‘n’ choose ‘r’(nCr). The row number represents the value of ‘and the column number represents the ‘r’ value. Eg. Row 3‚ colomn 2 = 3C2 =
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This portfolio is an investigation into how the median Body Mass Index of a girl will change as she ages. Body Mass Index (BMI) is a comparison between a person’s height (in meters) and weight (in kilograms) in order to determine whether one is overweight or underweight based on their height. The goal of this portfolio is to prove of disprove how BMI as a function of Age (years) for girls living in the USA in 2000 can be modeled using one or more mathematical equations. This data can be used for
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N10/5/MATME/SP1/ENG/TZ0/XX/M This markscheme is confidential and for the exclusive use of examiners in this examination session. It is the property of the International Baccalaureate and must not be reproduced or distributed to any other person without the authorization of IB Cardiff. –3– N10/5/MATME/SP1/ENG/TZ0/XX/M Instructions to Examiners Abbreviations M (M) A (A) R N AG Marks awarded for attempting to use a correct Method; working must be seen. Marks awarded for Method; may be implied by correct subsequent
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Orange County has seen its population grow older and more diverse since the turn of the millennium‚ a trend expected to continue for the foreseeable future. The county’s median age was 37.8 in 2016‚ 1.5 years older than the median age of 36.3 in 2010 and 4.5 years older than the median age of 33.3 in 2000. This trend is driven by two primary factors: the aging of the Baby Boomers‚ America’s second largest generation‚ a national trend that will have an especially significant impact on Orange County
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