- 1 Independent and Dependent Events Contents
- 1.1 Venn Diagrams
- 1.2 Independent Events and Sample Spaces
- 1.3 Dependent Events and Sample Spaces
- 1.4 Mutually Exclusive Events
- 1.5 Mutually Inclusive Events
- 2 Conditional Probability
- 2.1 Tree Diagrams
- 2.2 Permutations and Combinations Compared
- 2.3 Permutation Problems
- 2.4 Permutations with Repetition
- 2.5 Combinations
- 2.6 Combination Problems
- 2.7 Conditional Probability
- 3 Introduction to Discrete Random Variables
- 3.1 Discrete Random Variables
- 3.2 Probability Distribution
- 3.3 Binomial Distributions and Probability
- 3.4 Multinomial Distributions
- 3.5 Theoretical and Experimental Spinners
- 3.6 Theoretical and Experimental Coin Tosses
- 4 Probability Distributions
- 4.1 Normal Distributions
- 4.2 Binomial Distributions
- 4.3 Binompdf Function
- 4.4 Binomcdf Function
- 4.5 Geometric Distributions
- 5 Measures of Central Tendency
- 5.1 Mean
- 5.2 Ungrouped Data to Find the Mean
- 5.3 Grouped Data to Find the Mean
- 5.4 Median
- 5.5 Median of Large Sets of Data
- 5.6 Mode
- 6 Normal Distribution Curves
- 6.1 Standard Deviation of a Normal Distribution
- 6.2 Variance of a Data Set
- 6.3 Standard Deviation of a Data Set http://www.ck12.org Contents
- 6.4 Applications of Variance and Standard Deviation
- 6.5 Empirical Rule
- 7 Organizing and Displaying Data
- 7.1 Line Graphs
- 7.2 Broken-Line Graphs
- 7.3 Scatter Plots
- 7.4 Linear Regression Equations
- 7.5 Pie Charts
- 7.6 Stem-and-Leaf Plots
- 7.7 Bar Graphs
- 7.8 Histograms
- 7.9 Applications of Histograms
- 7.10 Frequency Polygons
- 7.11 Box-and-Whisker Plots
- 7.12 Applications of Box-and-Whisker Plots
- 8 Organizing and Displaying Data for Comparison
- 8.1 Basic Graph Types
- 8.2 Double Line Graphs
- 8.3 Two-Sided Stem-and-Leaf Plots
- 8.4 Double Bar Graphs
- 8.5 Double Box-and-Whisker Plots
marvins-underground-k-12
(Marvins-Underground-K-12)
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