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514 Book Reviews   Back ] Up ] Next ]

Book Reviews 514

Mathematics Carrousel 514 ©1999

Breton, G. et al.

Instructional Package

Les Éditions CEC inc. , Wilson & Lafleur Ltée
Approved components Pages
Student's Textbooks (2)
Teacher's Guides (2) ©2000
459
-

This one of the better written works in the Carrousel series.  It is the or one of the most professional. The flaws in it are few and minor in comparison to the other Guy Breton co-authored works (translated into English) for secondary II to IV mathematics in Quebec.

But when  I looked at the content wondered how it was of services to the students. The topics covered well provide a means to review and improve exact arithmetic skills with whole numbers and fractions, but I do not see how the student futures will otherwise benefit from the MEQ selection of topics. These students would be better served by an exposure to consumer mathematics. See my suggestions for secondary III mathematics.

Mathematics Carrousel Secondary V, 514, Books 1,  Guy Breton, Eric Breton and Mathieu Dufour,  1999,  ISBN 2-89127-467-9 

Notes on Book 1.

  1. On page 2, bottom, a box introduces the word experiment without any explanation of its connection to probability.  It says "An experiment is considered to be random if none of its possible outcomes can be predicted with certainty."  We can imagine experiments or situations in which none of the possible outcomes can be predicted because of ignorance. 
  2. On page 3, the text mentions the Montreal Casino without condemning it.  
  3. On page 4, the text uses the phrase real probability for the first time as an alternative to theoretical probability. Yet I wonder if students reading skills are sufficient to catch that significance. 
  4. The page 5 statement  "As the number of repetitions increases, the ratio of the number of favourable outcomes to the total number of trials approaches the theoretical  or real probability"  represents a mathematical hope not a fact.
  5. On page 7, the text mentions slot machines without condemning them.
  6. On page 12, the text says outcomes are given by n-tuples but the first example of n-tuples appears on page 24 in example 5. There we see outcomes represented by ordered pairs, that is 2-tuples. A precise mathematical definition of an n-tuple appears to be missing before pages and between pages 12 and 24. The wordy indication of what is a n-tuple on page 12 may be precise but some extra explanation of what it means would have been optimal.
  7. On page 21, the text says "The last two situations", meaning examples, "confirm the following two properties."  I found the confirmation hard to understand. More in the first property, the text says "The probability of an event corresponds to the the sum of probabilities of the outcomes it contains".  Here is a first instance of Books 1 and 2 using the phrase correspond to instead of the clearer phrase such as is given by
  8. On page 39, the text says "Mathematical expectation provides data on the long-term outcome of random experiments".  The word information would have been more appropriate that the word data. The word data according my copy of the Collins Dictionary of Mathematics (www.collins.co.uk, ISBN 0-00-710295-x) refers to "the information, usual numerical values, gathered from an experiments, observation, survey or other study".  Mathematical expectation is a theoretical construct rather than a  statistical one as indicated by the conventional use of the word data.
  9. On page 43, the text use the words corresponds to and not the words given by.   The next statement about theoretical probability should be reworded to indicate the limiting value of the experimental or theoretical probability, if it exists, should equal any or the theoretical probability for the case at hand. At very least the words  limiting value should replace the word value in this definition or summary of what is a theoretical probability. 
  10. After an example, Page 71 indicates "A graph is a representation of the relationships that exists between the elements of a set". The concept of a graph being a set of relations is a bit abstract for my liking. I prefer the more concrete viewpoint that a graph is a collection of vertices and edges which can be use to represent situations.
     The top of Page 72 gives a more precise account of  what was meant or hinted at in page 71. But the purple box in which includes that precise account is offers many more graph theory concepts, which I feel would be best put a summary after a longer exposition.  I expect  the student trying to read ahead of the current position in a course would have difficulty with the density and order of information in the box on page 72.  
  11. The solution of graph-base optimization problems involves trial and error.  I did not see an explicit statement in the text book of that aspect of the optimization problems.   That non-deterministic, trial and error, approach to graph-based optimization problems   will be new to many students.
  12. On page 220, a disk is said to be a portion of the plane defined by a circle. The reader should add bounded portion. A circle divides the plane into two parts or portions, one bounded, its inside, and one unbounded, its outside.

Mathematics Carrousel Secondary V, 514,  Book 2,  Guy Breton, Eric Breton and Mathieu Dufour,  1999,  ISBN 2-89127-467-7,

  1. Page 78 includes the sentence "Each variable studied can represent different values". Are we referring the notion a letter representing a number or quantity that may vary and when the latter varies, the letter represent different values, one a time, one after another. I suspect here that a variable refers to a number or quantity that may have or take different values, each time its observed. 
  2. Page 78 furthers says  that "Characteristics that can vary are known as statistical variables." There is no definition of what is a characteristic in the text that I see.  I suspect the text use of the word characteristic means an observable number or quantity, for which we collect data. That characteristic, that is observable number or quantity, in varying while being observed provides a statistical variable and data for use in calculating statistics.  
  3. Page 79, I do not understand the sentences "We usually compare two variables by associating two values of each case of a sample. This is how two variables are related."
  4. Page 79 says a statistical relationship is created when the values of two statistical variables are compared as ordered pairs.  A more objective or Platonic view of would say a statistical relation ship can be represented  or studied  by forming order pairs of data from two different statistical variables .
  5. On page 89, from the text, I do not understand the introduction of the term statistical link and the hence the immediately following definition or view of correlation. What the text means is unclear to me, a possibly instructor of mathematic 514, and as instructor I would look for an alternative means of introducing statistical links and the concept of correlation. My remedy for my confusion about what the text is trying to say would be to give students instruction on  how to compute or estimate correlation (coefficient) numerically and point how its values correspond to the behavior of points in scatter plot. In mathematics, saying how to compute a number or quantity defines it. I would skip the qualitative discussion of correlation until I found an exposition I could understand.
  6. The Math Express on page 129 provides a review and summary of what has been seen. It also adds a few new terms. The term multi-variable distribution. But the textbook only discusses in depth two-variable distribution and I have not noticed the phrase multi-variable distribution elsewhere in the text.
  7. To the mathematician, a regression in statistics chooses coefficients in a function or computation rule so that the rule gives a best fit to some data.  Linear regression in the plane is the process of finding the best fitting straight line, what the text calls the regression line on page 146.  The textbooks indication on pages 146 that a Linear Regression is a statistical relation which is close to linear may describe the objectives of linear regression but it differ from the concept that Linear regression in the plane  consists of fitting a straight line to a set of data points or ordered pairs. The text or I need to be corrected.
  8. The pink box on page 186 says "The units for speed are the same as those used for the distance and the time." I thought the units of speed s = d/t were given by units of length over units of time.
  9. The LexiMath on page 210 gives a unique verbal explanation of absolute value of a number x and indicates a change in coordinates is provided by variation in x or y coordinates. The word variation in my mind is harder to understand the word change

 

 


Quebec English Mathematics Education

A farce is a farce is a farce.

Area Intro
Copy Right Matters
Curriculum Cuts
Intermediate Objectives
MEQ Objectives

116 Textbooks
116 Objectives
116 Check List
116 Suggestions
216 Objectives
216 Check List
216 Book Review
216 Nonsense or BullShit
216 Suggestions
314 Objectives
314 Check List
314 Suggestions
416 Objectives
416 Check List
416 Suggestions
436 Objectives
436 Checklist
436 Suggestions
436 Book Reviews
436 Nonsense in
514 Objectives
514 Suggestions
514 Book Reviews
536 Objectives
536 Suggestions
536 Book Reviews

Area pages  represent an effort to follow and understand the objectives of the 1997-2005, the prior reform, and the text books required and used 1997-2005. In retrospect, the objectives and texts in question are too incoherent, too full of nonsense, for rational comprehension and for service as a base for the current reform.    A farce is a farce, is a farce

 

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