Academic Standards
PS.1.1: Create, compare, and evaluate different graphic displays of the same data, using histograms, frequency polygons, cumulative distribution functions, pie charts, scatter plots, stem-and-leaf plots, and box-and-whisker plots. Draw these by hand or use a computer spreadsheet program.
Box-and-Whisker Plots
Correlation
Histograms
Polling: City
Populations and Samples
Trends in Scatter Plots
PS. 1.2: Compute and use mean, median, mode, weighted mean, geometric mean, harmonic mean, range, quartiles, variance, and standard deviation.
Describing Data Using Statistics
Mean, Median, and Mode
Populations and Samples
Reaction Time 1 (Graphs and Statistics)
Real-Time Histogram
Stem-and-Leaf Plots
PS.2.1: Understand the counting principle, permutations, and combinations, and use them to solve problems.
Binomial Probabilities
Permutations and Combinations
PS.2.2: Understand and use the addition rule to calculate probabilities for mutually exclusive and non-mutually exclusive events.
Binomial Probabilities
Theoretical and Experimental Probability
PS.2.3: Understand and use the multiplication rule to calculate probabilities for independent and dependent events.
Independent and Dependent Events
PS.2.5: Understand conditional probability and Bayes? Theorem and use them to solve problems.
Independent and Dependent Events
PS.2.6: Use discrete random variables and probability distributions, including the binomial and geometric distributions.
Binomial Probabilities
Geometric Probability
Polling: City
PS.2.7: Compute and interpret the mean and variance of a probability distribution.
PS.2.8: Use and apply the normal distribution.
PS.2.9: Understand the central limit theorem and use it to solve problems.
PS.2.10: Use other continuous random variables and probability distributions to solve problems.
PS.3.1: Compute and use confidence intervals to make estimates.
PS.3.3: Use the principle of least squares to find the curve of best fit for a set of data.
Correlation
Least-Squares Best Fit Lines
Solving Using Trend Lines
PS.3.4: Calculate and interpret the correlation coefficient of a set of data.
Correlation last revised: 1/20/2017