Data Analysis & Probability: A Quickstudy Laminated Reference Guide (Math Fundamentals, 4)

Essential core elements of mathematics to support early learning, continued development, and as a reference to review during and after building a strong foundation. Seeing a broad overview and how the details make the math possible in just 6 pages can melt away some math phobia and will strengthen skills and grades. Written and tested in a classroom over many years, two teachers came to us with this reference they used with their students. A math textbook authoring group then expanded the series. With experts in the classroom and in textbooks developing the content, don’t pass up this 6 page laminated, inexpensive tool with the power to support the core areas of math students struggle with. Check other titles in the 5-guide series for the areas of support most needed.  
6 page laminated guide includes:

• Ways to Collect Data
• Populations & Samples
• Types of Samples
  • Random Sample
  • Convenience Sample
  • Systematic Sample
  • Cluster Sample
  • Stratified Sample
  • Volunteer Sample
• Measures of Central Tendency
• Measures of Spread
  • Range
  • Interquartile Range (IQR)
• When to use Measures of Center & Spread
  • Symmetric Distribution (also called Normal Distribution)
  • Negatively Skewed Distribution (also called Left Skewed Distribution)
  • Positively Skewed Distribution (also called Right Skewed Distribution)
• Interpretation of Graphs
  • Ways to Prevent Misinterpretation of Graphs
• Graphing Data
  • Checklist for Making Graphs
• Data Displays
  • Pictograph, Frequency Table, Tally Marks
  • Bar Graph, Double & Multiple Bar Graphs 
  • Stacked Bar Graph 
  • Two-Way Frequency & Relative Frequency Table
  • Circle Graph (also called Pie Chart) & Steps to Make Circle Graph
  • Scatter Plot & Steps to Make a Scatter Plot
  • Box-and-Whisker Plot & Steps to Make a Box-and-Whisker Plot
  • Histogram & Steps to Make a Histogram
  • Distributions in Histograms
  • Line Graph & Line Plot
  • Stem-and-Leaf Plot
  • Multiple Line Graph 
  • Double Stem-and-Leaf Plot
• Interpreting Statistics
  • Interpolation / Extrapolation
  • Normal Distribution
  • Venn Diagram
  • To determine if a set of data has any outliers: 
    • Matrix
    • Disjoint Sets
    • Interpreting the Venn Diagram
• Probability