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    INTRODUCTION

    APPRECIATION

    A BRIEF HISTORY OFSTATISTICS

    PART A

    PART B

    PART C

    FURTHER EXPLORATION

    REFLECTION

    CONCLUSION

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    We students taking Additional Mathematics are required to carry out a project work while we

    are in Form 5.This year the Curriculum Development Division, Ministry of Education hasprepared four tasks for us. We are to choose and complete only ONE task based on our area

    of interest. This project can be done in groups or individually, and I gladly choose to do this

    individually. Upon completion of the Additional Mathematics Project Work, we are to gain

    valuable experiences and able to:

    Apply and adapt a variety of problem solving strategies to solve routine and non-routine problems

    Experience classroom environments which are challenging, interesting andmeaningful and hence improve their thinking skills.

    Experience classroom environments where knowledge and skills areapplied in meaningful ways in solving real -life problems

    Experience classroom environments where expressing ones mathematical thinking,reasoning and communication are highly encouraged and expected

    Experience classroom environments that stimulates and enhanceseffective learning.

    Acquire effective mathematical communication through oral and writing,and to use the language of mathematics to express mathematical ideas correctl y and

    precis ely

    Enhance acquisition of mathematical knowledge and skills throughprob lem-solvi ng in ways that increase interes t and co nf iden ce

    Prepare ourselves for the demand of our future undertakings and in workplace Realize that mathematics is an important and powerful tool in solving real -

    life problems and hence develop positive attitude towards mathematics.

    Train ourselves not only to be independent learners but also to collaborate, tocooperate, and to share knowledge in an engaging and healthy environment

    Use technology especially the ICT appropriately and effectively Train ourselves to appreciate the intrinsic values of mathematics and to become more

    creative and innovative

    Realize the importance and the beauty of mathematics.We are expected to submit the project work within three weeks from the

    first day the task is being administered to us. Failure to submit the written report will result

    in us not receiving certificate.

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    First and foremost, I would like to thank my Additional Mathematics teacher as she

    gives us important guidance and commitment during this project work. She has been a very

    supportive figure throughout the whole project.

    I also would like to give thanks to all my friends for helping me and always

    supporting me to help complete this project work. They have done a great job at collecting

    form 4 end of year result for additional mathematics and sharing information with other

    people including me. Without them this project would never have had its conclusion.

    For their strong support, I would like to express my gratitude to my beloved parents.

    Also for helping me to find the mark to complete this project. They have always been by my

    side and i hope they will still be there in the future.

    Last but not least, i would also like to thank all the teacher and my friend for helping

    me collect the much needed data and statistics for this. Not forgetting too all the other people

    who were involved directly or indirectly towards making this project a reality.

    I thank you all ..

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    By the 18th century, the term "statistics" designated the systematic collection of demographic and

    economic data by states. In the early 19th century, the meaning of "statistics" broadened, thenincluding the discipline concerned with the collection, summary, and analysis of data. Today

    statistics is

    widely employed in government, business, and all the sciences. Electronic computers have

    expedited statistical computation, and have allowed statisticians to develop "computer-

    intensive" methods. The term "mathematical statistics" designates the mathematical theories

    of probability and statistical inference, which are used in statistical practice. The relation

    between statistics and probability theory developed rather late, however. In the 19th century,

    statistics increasingly used probability theory, whose initial results were found in the17th and

    18th centuries, particularly in the analysis of games of chance(gambling). By 1800,astronomy used probability models and statistical theories, particularly the method of least

    squares, which was invented by Legendre and Gauss

    Early probability theory and statistics was systematized and extended by Laplace; following

    Laplace, probability and statistics have been in continual development. In the19th century,

    social scientists used statistical reasoning and probability models to advance the new sciences

    of experimental psychology and sociology; physical scientists used statistical reasoning and

    probability models to advance the new sciences of thermodynamics and statistical mechanics.

    The development of statistical

    reasoning was closely associated with the development of inductive logic and the scientific

    method

    Statistics is not a field of mathematics but an autonomous mathematical science, like

    computer science or operations research. Unlike mathematics, statistics had its origins in

    public administration and maintains a special concern with demography and economics.

    Being concerned with the scientific method and inductive logic, statistical theory has close

    association with the philosophy of science; with its emphasis on learning from data and

    making best predictions, statistics has great overlap with the decision science and

    microeconomics. With its concerns with data, statistics has overlap with information science

    and computer science.

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    STATISTICS TODAY

    During the 20th century, the creation of precise instruments for agricultural research, public

    health concerns (epidemiology, biostatistics, etc.), industrial quality control, and economic

    and social purposes(unemployment rate, econometry, etc.) necessitated substantial advances

    in statistical practices.

    Today the used of statistic has broadened far beyond its origin. Individuals and organisations

    use statistics to understand data and make informed decisions throughout the natural and

    social sciences, medicines, business, and other area.

    Statistics are generally regarded not as the subfield of mathematics but rather as a distinct,

    allied, field. Many universities maintain separate mathematics and statistic departments.

    Statistic is also taught in department as diverse as psychology , education and public health.

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    The first reason is to be able to effectively conduct research. Without the use of statistics it

    would be very difficult to make decisions based on the data collected from a research project.

    For example, in the study cited in Chapter One, is the difference in recorded absenteeism

    between psychiatric and obstetrics nurses large enough to conclude that there is meaningful

    difference in absenteeism between the two units? There are two possibilities: The first

    possibility is that the difference between the two groups is a result of chance factors. In

    reality, the two jobs have approximately the same amount of absenteeism. The second

    possibility is that there is a real difference between the two units with the psychiatric unit

    being more nurses missing work. Without statistics we have no way of making an educateddecision between the two possibilities. Statistics, however, provides us with a tool to make an

    educated decision. We will be able to decide which of the two possibilities is more likely to

    be true. We will base this decision on our knowledge of probability and inferential statistics.

    A second point about research should be made. It is extremely important for a researcher to

    know what statistics they want to use before they collect their data. Otherwise data might be

    collected that is uninterpretable. Unfortunately, when this happens it results in a loss of data,

    time, and money.

    Now many a student may by saying to themselves: "But I never plan on doing any research."

    While you may never plan to be involved in research, it may find its way into your life.

    Certainly, it you decide to continue your education and work on a masters or doctoral degree,

    involvement in research will result from that decision. Secondly, more and more work places

    are conducting internal research or are becoming part of broader research studies. Thus, you

    may find yourself assigned to one of these studies. Finally, many classes on the

    undergraduate level may require you to conduct research (for example, a research methods or

    experimental psychology course). In each of these instances, a knowledge of measurements

    and statistics will be invaluable.

    The second reason to study statistics is to be able to read journals. Most technical journals

    you will read contain some form of statistics. Usually, you will find them in something called

    the results section. Without an understanding of statistics, the information contained in this

    section will be meaningless. An understanding of basic statistics will provide you with the

    fundamental skills necessary to read and evaluate most results sections. The ability to extract

    meaning from journal articles and the ability to critically evaluate research from a statistical

    perspective are fundamental skills that will enhance your knowledge and understanding in

    related coursework.

    The third reason is to further develop critical and analytic thinking skills. Most students

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    completing high school and introductory undergraduate coursework have at their disposal a

    variety of critical thinking and analytic skills. The study of statistics will serve to enhance and

    further develop these skills. To do well in statistics one must develop and use formal logical

    thinking abilities that are both high level and creative.

    The fourth reason to study statistics is to be an informed consumer. Like any other tool,

    statistics can be used or misused. Yes, it is true that some individuals do actively lie and

    mislead with statistics. More often, however, well meaning individuals unintentionally report

    erroneous statistical conclusions. If you know some of the basic statistical concepts, you will

    be in a better position to evaluate the information you have been given.

    The fifth reason to have a working knowledge of statistics is to know when you need to hire a

    statistician. Most of us know enough about our cars to know when to take it into the shop.

    Usually, we don't attempt the repair ourselves because we don't want to cause any irreparable

    damage. Also, we try to know enough to be able to carry on an intelligible conversation with

    the mechanic (or we take someone with us who can) to insure that we don't get a whole new

    engine (big bucks) when all we need is a new fuel filter (a few bucks). We should be the

    same way about hiring a statistician. Conducting research is time consuming and expensive.

    If you are in over your statistical head, it does not make sense to risk an entire project by

    attempting to compute the data analyses yourself. It is very east to compute incomplete or

    inappropriate statistical analysis of one's data. As with the mechanic discussed above, it is

    also important to have enough statistical savvy to be able to discuss your project and the data

    analyses you want computed with the statistician you hire. In other words, you want to be

    able to make sure that your statistician is on the right track.

    To summarize, the five reasons to study statistics are to be able to effectively conduct

    research, to be able to read and evaluate journal articles, to further develop critical thinking

    and analytic skills, to act a an informed consumer, and to know when you need to hire outside

    statistical help.

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    Class Frequency, f

    0 - 19 0

    20 - 29 5

    30 - 39 29

    40 - 49 57

    50 - 59 38

    60- 69 28

    70 - 79 15

    80 - 89 10

    90 - 99 2

    A. Line Graph

    B. Pie Chart

    05

    29

    57

    38

    28

    1510

    20

    10

    20

    30

    40

    50

    60

    0 -

    19

    20 -

    29

    30 -

    39

    40 -

    49

    50 -

    59

    60-

    69

    70 -

    79

    80 -

    89

    90 -

    99

    Number of student's additional

    mathematic TOV marks

    Number of student's

    additional mathematic

    TOV marks

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    C. Bar Chart

    Modal Class = 40 - 49

    Mode = 40

    Median = 50

    Mean = 52.652

    *The mean is a more suitable measure of central tendency because it reflects the central value

    around which the data seems to cluster. The mode is not suitable because the data does not

    seem to cluster about mode

    0 5

    29

    5738

    28

    1510 2

    Number of student's additional

    mathematic TOV marks

    0 - 19

    20 - 29

    30 - 39

    40 - 49

    50 - 59

    60- 69

    70 - 79

    05

    29

    57

    38

    28

    1510

    2

    0

    10

    20

    30

    40

    50

    60

    0 - 19 20 -

    29

    30 -

    39

    40 -

    49

    50 -

    59

    60-

    69

    70 -

    79

    80 -

    89

    90 -

    99

    Number of student's additional

    mathematic TOV marks

    Number of student's

    additional mathematic

    TOV marks

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    Range= midpoint of highest class-midpoint of lowest class

    When comparing the range of two sets of data, the set with a greater range is said have a

    greater variation or dispersion. Thus, the range of this overall data have a greater dispersion.

    Standard Deviation=

    =15.14

    The standard deviation answer is getting from the square root of a variance which is also a

    measure of dispersion that has same unit as each value of data.

    class frequency, f midpoint , x f(x) f(x

    0 - 19 0 4.5 0 0

    20 - 29 5 24.5 122.5 3001.2530 - 39 29 34.5 1000.5 34517.25

    40 - 49 57 44.5 2536.5 112874.25

    50 - 59 38 54.5 2071 112869.5

    60- 69 28 64.5 1806 116487

    70 - 79 15 74.5 1117.5 83253.75

    80 - 89 10 84.5 845 71402.5

    90 - 99 2 94.5 189 17860.5

    184 480.5 9688 552266

    (b) My TOV mark is higher than all three measure of central tendencies. So, my result is

    increase based on the comparison.

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    X 1 2 3 4 5 6 7 8 9 10Y 10 20 30 40 50 60 75 80 85 90

    (2)

    Based on the graph above, it is positive linear correlation which 0 < r < 1.

    (3)

    n X Y XY 1 1 10 10 1 100

    2 2 20 40 4 4003 3 30 90 9 900

    4 4 40 160 16 1600

    5 5 50 250 25 2500

    6 6 60 360 36 3600

    7 7 75 525 49 5625

    8 8 80 640 64 6400

    9 9 85 765 81 7225

    10 10 90 900 100 8100

    Total 55 540 3740 385 36450

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    100

    1 2 3 4 5 6 7 8 9 10

    Marks

    number each student spent in doing additional mathematics (h)

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    r

    =

    =0.992887

    The range of the correlation coefficient is from -1 to 1. Since our result is 0.992887, we can

    conclude that the strength of the linear relationship between x and y is strong.

    Based on data above, I am agreed if more time is taking to make revision in additional

    mathematics, more mark will get.

    B(1)

    x y xy1 1 10 1 10

    2 2 20 4 40

    3 3 30 9 90

    4 4 40 16 1605 5 50 25 250

    6 6 60 36 360

    7 7 75 49 525

    8 8 80 64 640

    9 9 85 81 765

    10 10 90 100 900

    Total 55 540 385 3740

    X = = 5.5 y-54=9.33(x-5.5)

    Y = = 54 y= 9.33x+2.69

    b=

    =

    = 9.33

    (2)

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    (3)(i)

    Prediction of score for student who spent 7 hours per week is 66%.

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    (ii)

    Regression analysis is widely used forprediction, where its use has substantial overlap with

    the field ofmachine learning. Regression analysis is also used to understand which among

    the independent variables are related to the dependent variable, and to explore the forms of

    these relationships. So, Im agreed that least square regression line is suitable in help me for

    prediction.

    http://en.wikipedia.org/wiki/Predictionhttp://en.wikipedia.org/wiki/Predictionhttp://en.wikipedia.org/wiki/Predictionhttp://en.wikipedia.org/wiki/Machine_learninghttp://en.wikipedia.org/wiki/Machine_learninghttp://en.wikipedia.org/wiki/Machine_learninghttp://en.wikipedia.org/wiki/Machine_learninghttp://en.wikipedia.org/wiki/Prediction
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    x 1.2 2.4 2.8 3.5 3.9 4.3

    y 9.13 3.23 2.56 1.83 1.56 1.35

    0.079 0.380 0.447 0.544 0.591 0.633

    0.96 0.51 0.41 0.26 0.19 0.13

    (1)

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    Series 1

    f(x)=-1.522341*x+1.09; R=0.9998

    2 (i) graphically

    Series 1

    f(x)=-1.522341*x+1.09; R=0.9998

    (ii) statistically

    y-

    intercept

    =1.09

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    a=

    a=-1.5

    -0.018 = 1.654+

    b=b=0.0213

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    Additional Mathematics...

    F rom The Day I Born...

    F rom The Day I Was Able To Holding Pencil ...

    F rom The Day I Start Learn ing...

    And..

    F rom The Day I H eard Your Name...

    I Always Thought That You Wi ll Be My Greatest Obstacle

    And

    Rival I n Excell ing I n My L if e...

    But Af ter Countless Of Hours...

    Coun tless Of Days...

    Countless Of Nights...

    Af ter Sacri fi cing M y Precious Time Just For You...

    Sacri f icing My Computer Games...

    Sacri fi cing My Video Games...

    Sacri fi cing M y Facebook...

    Sacr if icing My I nternet...

    Sacri fi cing My Anime...

    I Realized Something Really Important I n You...

    I Reall y Love You...

    You Are My Real F ri end...

    You My Partner...

    You Are My Soul Mate...

    I LOVE YOU ADDITIONAL MATHEMATICS.

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    After doing research, answering questions, drawing graphs and some

    problem solving, I saw that the usage of statistics is important in daily life. It

    is not just widely used in markets but also in interpreting the condition of

    the surrounding like the air or the water. Especially in conducting an air-

    pollution survey. In conclusion, statistics is a daily life necessity. Without it,

    surveys cannot be conducted, the stock market cannot be interpret and manymore. Therefore, we should be thankful of the people who contribute in the

    idea of statistics.