STATISTICS HELP PAGES

Numerical Measures & Graphics
Dotplot
Measures of Center
Standard Deviation – Measures of Spread
Percentiles – Quartiles – IQR – 5 Number Summary
Boxplots
Histograms
Stem-And-Leaf
Ogive Plots
Describing Distributions

Technology
TI - Calculating Numerical Summaries
TI - Boxplot and Histograms

R - Calculating Numerical Summaries
R - Histograms
R - Boxplots
R - Stem-And-Leaf

Normal Distribution
Intro To the Normal
Constructing the Normal Density Curve
Using the z-table
Emperical Rule Link
TI - Normal Distribution Calculations

R - Normal Distribution Calculations
Assessing Normality
Normal Distribution – Solving for x

Linear Regression
Scatterplots
Correlation
Fitting Linear Model (TI-83 or R)
Assumptions for using Linear Regression
Residuals & Residual Plots
Outliers and Influential Observations
Inference – Linear Regression
Confidence Interval – Linear Regression
Animation – Confidence Interval Linear Regression
Hypothesis Test – Linear Regression
Interpreting Linear Regression Computer Output
Linear Regression – Formula Calculations

Non-Linear Regression
* Exponential Growth
* Power Law

Design of Experiments & Surveys
* Using table of Random Digits
* Designing an Experiment

Addition and Complementary Rules
Venn Diagrams
Multiplication Rule and Tree Diagrams
Conditional Probability

Discrete and Continuous Random Variables
* Difference between Discrete & Continuous
* Density Curves
* Calculating the Mean & SD of Discrete RV’s
* Rules for means and variances

Binomial & Geometric Distributions
Binomial Distribution
Binomial Distribution – CDF Function
Normal Approximation – Binomial Distribution
Geometric Distribution

Sampling Distributions
* Difference Between Statistics and Parameters
* Sample proportions
* Sample means
* Central Limit Theorem Animation
* Sampling Animation – Only Normal Data
* Biased and Unbiased Estimators

Inference
Introduction to Hypothesis Testing
Relationship Between P-value and Conclusion
Type 1 and Type 2 Errors – Hypothesis Testing

1 Sample Mean
Confidence Interval – 1 Proportion
Confidence Interval – 1 Sample Mean w/ Sigma
Reading the t-table – z*
Confidence Interval – 1 Sample Mean w/o Sigma
t-distribution
Reading the t-table – t*
Confidence Interval – Difference of Means
Confidence Interval – Matched Pairs
Confidence Interval – Difference of Proportions
Sample Size Calculation – 1 Proportion
Sample Size Calculation – 1 Sample Mean
Hypothesis Test – Conclusion
Hypothesis Test – 1 Sample Mean w/Sigma
Hypothesis Test – 1 Sample Mean w/o Sigma
Hypothesis Test – Difference of Means
Hypothesis Test – Matched Pairs
Hypothesis Test – 1 Proportion
Hypothesis Test – 2 Proportions
Hypothesis Test – Chi-Square
Chi-Square Distribution
Chi-Square – Goodness of Fit