Lab Outline for Summer 2015
Lab Topics (subject to change)
- Week1: May 13
- Introduction
- Logging onto the System
- Using JMPin in the labs and elsewhere
- Data Entry and Editing
- Data Description and Exploration:
- Levels of Measurement
- Data Types
- Plotting Distributions
- Histograms
- Quantile Box Plots
- Outlier Box Plots
- Other Graphic Techniques
- Descriptive Statistics
- Measures of Central Tendency
- Measures of Dispersion
- Week 2: May 20
- Hypothesis Testing
- Hypothesis Formation
- Significance
- Errors
- Other approaches to Statistics
- Goodness of Fit Tests
- Chi Squared Tests (Pearson's)
- G Tests and Likelihood
- Kolmogorov - Smirnov
- Shapiro - Wilks
- Contingency Testing
- Chi Squared
- G
- Fisher's Exact Test
- Probability Distributions
- JMPin's Calculator
- Random Number Functions
- The Binomial Distribution
- The Poisson Distribution
- Other Distributions
- Week 3: May 27
Sampling and Sampling Distributions
- The Normal Distribution
- Characteristics
- Parameters and statistics
- Other Distributions
- Sampling from a Normal
- Populations
- Standard Error
- Precision and Bias
- Confidence Intervals
- The Central Limit Theorem
- One Sample Inference
- One Sample t Tests
- Confidence Intervals
- Assessing Normality
- Week 4: June 3
- Paired Sample Inference
- Paired t Tests
- Sign Test
- Wilcoxon Test
- Design Questions and Power
- Two Sample Inference
- F test
- 2 sample t Tests
- Welch's Approximate T test
- Mann Whitney U test
- Week 5: June 10
- Multisample Inference
- ANalysis Of VAriance (ANOVA): One-Factor
- Kruskal-Wallis test
- Multiple Comparisons
- a posteriori and a priori approaches
- Two-Factor, Multi-Factor and Nested ANOVA
- Design Questions
- Bonneferroni adjustments
- Data Transformations
- Linear Regression
- Testing Assumptions
- Testing Significance
- Prediction
- Limitations
- Transformations
- Correlation
- Assumptions
- Parametric Correlation
- Spearman's and Kendall's Correlation
- Lab exam signup
- Week 6: June 17
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