NUMERICAL MEASURES AND GRAPHS
> Describing Data - Categorical vs Numerical
> Dotplot
> Measures of Center
> Percentiles – Quartiles – IQR – 5 Number Summary
> Boxplots
> Standard Deviation
> Resistant vs. Nonresistant Measures
> Describing Distributions
> Ogives
> Linear Transformations
Technology
TI - Calculating Numerical Summaries
TI - Boxplot and Histograms
> R - Calculating Numerical Summaries
> R - Histograms
> R - Boxplots
> R - Stem-And-Leaf
Normal Distribution
> Continuous Distributions and Density Curves
> Normal Density Curve & the Empirical Rule
> Z-Score and Basic Normal Distribution Calculations
> Advanced Normal Distribution Calculations
> Assessing Normality
Using Technology
TI - Normal Distribution Calculations
> R - Normal Distribution Calculations
Linear Regression
> Scatterplots
> Correlation
> Least Squares Regression Line
> Residuals and Residual Plots
> Extrapolation, Outliers, Lurking Variables
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Non-Linear Regression
* Exponential Growth
> Power Law
Design of Experiments and Surveys
* Using table of Random Digits
* Designing an Experiment
Random Variables
> Difference between Discrete & Continuous
> Calculating the Mean, Variance, & Standard Deviation of Discrete Random Variables
> Combining and Subtracting Distributions
Binomial and Geometric Distributions
> Binomial Distribution
> Geometric Distribution
Sampling Distributions
> Difference Between Statistics and Parameters
> Sampling Distribution of Sample Proportions
> Sampling Distributions of Sample Means
> Central Limit Theorem
> Biased and Unbiased Estimators
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Inference for Means
> Introduction to Confidence Intervals
> Confidence Intervals: 1 Sample Mean Z
> t-distribution
> Confidence Intervals: 1 Sample Mean t
> Confidence Intervals: Matched Pairs
> Confidence Intervals: 2 Sample Means
> Introduction to Hypothesis Testing
> Hypothesis Testing - 1 Sample Mean - Z
> Hypothesis Testing - 1 Sample Mean - T
> Hypothesis Testing - Matched Pairs
> Hypothesis Testing - 2 Sample Means
Inference for Proportions
> Confidence Interval – 1 Proportion
> Confidence Interval – 2 Proportions
> Hypothesis Test – 1 Proportion
> Hypothesis Test – 2 Proportions
Chi-Square Inference
> Chi-Square Distribution
> Chi-Square – Goodness of Fit
> Chi-Square Test for Homogeneity
> Chi-Square Test for Independence/Association
Linear Regression Inference
> Linear Regression Inference
> Interpreting Linear Regression Computer Output
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