30 Powerful Principles for Building Math and Numeracy Skills

EBOOK: The Little Green Math Book: 30 Powerful Principles for Building Math and Numeracy Skills

For Math Aficionados From All Walks of Life!

Of the three primary symbols by which we communicate—letters, numbers, and pictures—this book focuses on numbers and, in particular, on “numeracy” skills. Numeracy combines the science of math with the art of numbers. For the everyday student or businessperson, this translates to developing a feel for how numbers work—knowing both the “how” and “why” of problem solving. The ability to perform calculations accurately is one thing; knowing how numbers behave and what makes problems tick is another.

The Little Green Math Book provides a compilation of the most useful academic and real-life math concepts. The secret recipe used in preparing material for this book is a blend of classic problems and relevant tips. Classic problems are recurring, valueadded problems which give you, the reader, maximum return for your time and effort spent. Tips serve as principles that underlie math problems; they represent the themes that bind categories of related problems. In addition to presenting 100 classic problems and introducing 30 tips, this book lends a three-tier chili rating system to help readers gauge a given problem’s difficulty level. A single chili indicates that the difficulty level of a given problem is “mild,” two chilies spell “hot,” and three chilies signal “very hot.”

Topics Include :

✔️Chapter 1: Basic Numeracy Ingredients.

• Percentages.

• Ratios and Proportions.

• Reciprocals.

• Order of Operations.

✔️Chapter 2: Wonderful Math Recipes.

• Overlap Scenarios.

• Matrix Scenarios.

• Mixture Scenarios.

• Weighted Average Scenarios.

✔️Chapter 3: Favorite Numeracy Dishes.

• Markup vs. Margin.

• Price, Cost, Volume, and Profit.

• Break-Even Point.

• Aggregate Costs vs. Per-Unit Costs.

• Efficiency.

• Distribution and Allocation.

✔️Chapter 4: Special Math Garnishments.

• Translating Basic Graphs.

• Line Graphs, Pie Charts, and Bar Charts.

• Correlation.

• Measures of Average and Dispersion.

• Statistical Significance.

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