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 Probability Introduction to Probability 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