PreStatistics

Don Davis earned his Bachelor of Science degree in education from Bowling Green State University and his Master of Science degree in mathematics from Ohio University. Don currently teaches at Lakeland Community College in Kirtland, Ohio where he has served as mathematics department chairman, chairman of the colleges excellence in teaching committee, and is a recipient of the colleges Excellence in Teaching Award. In his spare time, Don enjoys the sport of race walking and considers himself an IndyCar and Formula One aficionado. Bill Armstrong earned his Bachelor of Science and his Master of Arts degrees in mathematics from The Ohio State University. Bill is currently a professor at Lakeland Community College. While at Lakeland, Bill has served as mathematics department chairman, served on numerous committees, started the successful Faculty Liaison Student-Athlete committee, and served as the first advisor for the Actively Caring for People student group. Bill has been a two-time recipient of Lakelands Excellence in Teaching Award. When not making videos for his classes or writing, Bill can be found spending time with his wife and beagle, playing pickleball, coaching youth football, or keeping up with Clevelands sports teams as well as Ohio States sports teams. Mike McCraith earned his associate's degree at Lakeland Community College, having both Don Davis and Bill Armstrong as instructors. Mike has a Bachelor of Science in Mathematics from Cleveland State University and a Master of Arts in Mathematics from the University of Kentucky. After four years teaching at Joliet Junior College, he is currently a professor at Cuyahoga Community College. When not working on books, Mike thoroughly enjoys snuggling with his huskies, playing video games and studying all things Italian.

1. Arithmetic Operations used in Statistics.
Rounding Numbers. Types of Numbers and the Number Line. Fractions, Decimals and Percentages. Operations with Fractions. Absolute, Relative and Percent Error. Scientific Notation and E-Notation. Read and Use Mathematical Tables.
2. Algebraic Expressions used in Statistics and Basics of Solving Equations.
Translating English into Algebra: Expressions, Equations and Inequalities. Order of Operations and Evaluating Numerical Expressions. Basics of Solving Linear Equations.
3. Equations, Inequalities and Problem-Solving Techniques.
Solving Equations used in Statistics. Inequalities, Interval Notation and Plus/Minus Notation. Solving Absolute Value Inequalities. Introduction to Problem Solving. Literal Equations.
4. Graphing Linear Equations in Two Variables.
Properties of Rectangular Coordinate System. Interpretation of Graphs. Graphing Linear Equations. Slope and Marginal Change. Equations of Lines in Statistics.
5. Sets, Counting and Sums.
Fundamentals of Sets. Cardinality of Sets. Principles of Counting. Writing and Computing Sums.
6. Functions and Area Under Functions.
Introduction to Functions. Linear and Piecewise Defined Functions. Area Under a Constant Function. Area Under a Linear Function.
7. Survey of Functions used in Statistics.
Exponential and Logarithmic Functions. Rational Exponent and Power Functions. Multivariable Linear Functions.