Middle (Junior High) School ‘Grades 6, 7 & 8 – Math – Handling Data – Ages 11-14’ eBook

Nonfiction, Science & Nature, Mathematics, Study & Teaching, Kids
Cover of the book Middle (Junior High) School ‘Grades 6, 7 & 8 – Math – Handling Data – Ages 11-14’ eBook by Dr John Kelliher, Dr John Kelliher
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Author: Dr John Kelliher ISBN: 9781476347264
Publisher: Dr John Kelliher Publication: July 12, 2012
Imprint: Smashwords Edition Language: English
Author: Dr John Kelliher
ISBN: 9781476347264
Publisher: Dr John Kelliher
Publication: July 12, 2012
Imprint: Smashwords Edition
Language: English

This eBook is as compendium of four eBooks in the Grades 6, 7 & 8 math eBook series, including:
•Probability
•Averages
•Collecting and Representing Data
•Cumulative Distributions

It is part of our range of Grades 6, 7 & 8 math eBooks that are aligned with the North American math curriculum.

Our Grades 6, 7 & 8 math eBooks comprise three principle sections. These are, notably:
•Number and Algebra
•Geometry and Measures
•Handling Data
In addition, there exists a Publications Guide.

Our math eBooks are produced such as that as well as a Publications Guide, and three principle publications corresponding to the principle sections (Number and Algebra, Geometry and Measures and Handling Data) there are individual modules produced within each principle section which are published as eBooks.

Handling Data is a principle section our Grades 6, 7 & 8 publications. It is a compendium of four modules that comprise that principle section.

Probability introduces the student to events with independent and mutually exclusive outcomes, exhaustive events, the relationship between the probability of outcome ‘A’ and the probability of outcome ‘not A’, experimentation, expected outcomes, expected numbers, sample space diagrams, tree diagrams, tables, the addition and multiplication laws and relative frequency.

Averages introduces the students to discrete data and grouped discrete data and their mean, median, mode and range.

Collecting and representing data introduces the student to how to go about designing data capture systems and how to represent data when it is obtained. We review collection methodologies, methods of representing data (including pie charts, frequency diagrams, line graphs and scatter graphs) and introduce correlation within data sets.

Cumulative distributions introduces the student to the classic S-curve distribution, their median as well as their inter-quartile range.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This eBook is as compendium of four eBooks in the Grades 6, 7 & 8 math eBook series, including:
•Probability
•Averages
•Collecting and Representing Data
•Cumulative Distributions

It is part of our range of Grades 6, 7 & 8 math eBooks that are aligned with the North American math curriculum.

Our Grades 6, 7 & 8 math eBooks comprise three principle sections. These are, notably:
•Number and Algebra
•Geometry and Measures
•Handling Data
In addition, there exists a Publications Guide.

Our math eBooks are produced such as that as well as a Publications Guide, and three principle publications corresponding to the principle sections (Number and Algebra, Geometry and Measures and Handling Data) there are individual modules produced within each principle section which are published as eBooks.

Handling Data is a principle section our Grades 6, 7 & 8 publications. It is a compendium of four modules that comprise that principle section.

Probability introduces the student to events with independent and mutually exclusive outcomes, exhaustive events, the relationship between the probability of outcome ‘A’ and the probability of outcome ‘not A’, experimentation, expected outcomes, expected numbers, sample space diagrams, tree diagrams, tables, the addition and multiplication laws and relative frequency.

Averages introduces the students to discrete data and grouped discrete data and their mean, median, mode and range.

Collecting and representing data introduces the student to how to go about designing data capture systems and how to represent data when it is obtained. We review collection methodologies, methods of representing data (including pie charts, frequency diagrams, line graphs and scatter graphs) and introduce correlation within data sets.

Cumulative distributions introduces the student to the classic S-curve distribution, their median as well as their inter-quartile range.

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