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The Math Studies Project for Internal Assessment

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The Math Studies Project for Internal Assessment A good project should be able to be followed by a non-mathematician and be self explanatory all the way through. – PowerPoint PPT presentation

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Title: The Math Studies Project for Internal Assessment


1
The Math Studies Project for Internal Assessment
  • A good project should be able to be followed by a
    non-mathematician and be self explanatory all the
    way through.

2
Length
  • The project does not have a word limit. It is
    the quality of the mathematics and the processes
    used and described that is important, rather than
    the number of words written.

3
Commitment
  • The project is a substantial piece of work
    (counts for 20 of the final IB grade)
  • The project should demonstrate a commitment of
    time and effort by the student

4
Choice of Topic
  • The choice of topic must give students sufficient
    scope to demonstrate their mathematical ability.
  • Statistical
  • Chi-Squared test for Independence
  • Correlation/Linear regression
  • Student t test
  • Spearmans rank order correlation

5
Choice of Topic
  • Algebraic Modelling
  • Quadratic
  • Exponential
  • Trigonometric
  • Calculus
  • i. Optimization Problems
  • ii. Modelling

6
Choice of Topic
  • Number and algebra
  • i Sequences and series
  • ii Linear programming
  • Sets, Logic and Probability
  • i Venn diagrams
  • ii Probabilities
  • Financial Mathematics

7
Title page
  • The Project must have a clear title
  • Candidates name
  • Candidates number
  • Date
  • Subject
  • Teachers Name

8
Table of contents
  • Page numberring where each part of the project
    can be found

9
A Introduction
  • Task What is the aim of the project?
  • The task must focus on a distinct objective with
    a clear hypothesis or direction
  • The task must be clearly stated
  • Plan What must be done to achieve this aim?
  • Include as much detail as is necessary to be
    clear
  • Include a description of method of data
    collection including any sampling techniques,
    this will be useful for validity
  • Include a description of the mathematical
    processes to be used and the reason for choosing
    these processes

10
B Information / Measurement
  • The information/measurements collected may come
    from a survey, internet, calculation, etc
  • The information/measurements must be sufficient
    in quantity
  • When the information/measurements is to be split,
    as in the chi squared test, more than 50 pieces
    of data is necessary to avoid small expected
    values, rendering the test invalid.
  • The information/measurements must be relevant
  • The information/measurements must be organised
  • The information/measurements should be
    reorganised each time, to suit calculations being
    done eg. Male, female categories
  • If a questionnaire is used then include this in
    the project
  • A questionnaire should be designed to collect
    multidimensional mathematical data
  • Raw data must be included to determine the
    accuracy of calculations

11
C Mathematical Processes
  • Always include some relevant simple math
    processes
  • What is the mathematical process used?
    Explanation of mathematical technique
  • Why is this particular procedure useful?
    Relevance/validity of mathematical technique
  • Always state formulae used and do one calculation
    by hand. The GDC can be used to perform further
    similar calculations
  • Always check the accuracy of your results
  • Interpret results/draw conclusions from the
    results of the calculations
  • (Standard deviation is often calculated but not
    used or commented on.)

12
C Mathematical Processes
  • Apply relevant sophisticated processes as
    thoroughly as for simple process.
  • Interpret results/draw conclusions from the
    results of the calculations
  • Comment on validity of results
  • Check the accuracy of the results
  • For Chi-squared tests to be valid
  • Frequencies must be used, not raw data or
    percentages
  • No more than 20 of the expected cells should
    have a number less than 5
  • No expected cells should have a number less than
    1
  • For Linear correlation
  • There is no point in finding the correlation
    coefficient or regression line if the scatter
    graph shows that there is no correlation

13
D Interpretation of results
  • Always give a thorough and detailed analysis and
    discussion of results

14
E Validity
  • Validity of mathematical processes used
  • Validity of results obtained from these processes

15
F Structure and Communication
  • The project should include the discussion in the
    body of the work
  • Appropriate mathematical language should always
    be used
  • The project should be presented correctly and in
    a systematic manner.
  • All sources should be acknowledged
  • Include website addresses in bibliography
  • Include raw data in body of document or in
    appendix

16
Conclusion
  • Did the data and calculations support your task?
  • Discuss limitations in its applicability within
    the project.
  • Scope for improvement /extension of the project

17
Bibliography
  • State websites
  • Footnotes as necessary
  • Other sources of information

18
Appendices
  • Raw data collected can be placed here
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