
Time: 4 weeks
Topic & Activities  Resources 
1. Data, Variables and Distributions  Rossman  Topic 1 
2. Displaying and Describing Distributions  Rossman  Topic 2 
3. Measures of Center  Rossman  Topic 3 
4. Measures of Spread 

5. Comparing Distributions 

6. Readings and Report  Freedman  Chapter 4 
7. Introduction to major project 
Time: 5 weeks
Topic & Activities  Resources 
1. Graphical Displays of Association  Rossman  Topic 6 
2. Correlation  Rossman  Topic 7 
3. Least Square Regression  Rossman  Topic 8 & 9 
4. Interpreting Correlation & Regression 

5. Meaning of Regression. Why Least Squares 

6. Readings and Report  Freedman  Chapters 8 & 10 
7. Influential Points Activity  Quantitative Literacy Series 
8. Contingency Tables  Rossman topic 10 
9. Major Project Work 
Time: 4 weeks
Topic & Activities  Resources 
1. Random Sampling  Rossman  Topic 11 
2. Readings and Report  Freedman  Chapters 1 & 2 
3. Sampling Distributions: Confidence  Rossman  Topic 12 
4. Sampling Distributions: Significance  Rossman  Topic 13 
5. Normal Distributions  Rossman  Topic 14 
6. Central Limit Theorem  Rossman  Topic 15 
7. Designing Experiments  Rossman  Topic 20 
8. Major Project Work 
Time: 3 weeks
Topic & Activities  Resources 
1. Probability Distributions 

2. Sample Proportions 

3. Binomial Distributions 

4. Sample Means 

Time: 3 weeks
Topic & Activities  Resources 
1. Confidence Intervals 

2. Tests of Significance 

Time: 2 weeks
Topic & Activities  Resources 
1. Comparing Two Proportions 

2. Major Project Work 
Time: 3 weeks
Topic & Activities  Resources 
1. Inference for a Population Mean 

2. Comparing Two Means 

3. Major Project Work 
Time: 2 weeks
Topic & Activities  Resources 
1. TwoWay Tableexpectancies 

2. The ChiSquared Test 

3. Readings and Report  Freedman  Chapter 28 
4. Major Project Work 
Time: 2 weeks
Topic & Activities  Resources 
1. The Regression Model 

2. Confidence Intervals for the Regression Slope  Moore  Chapter 10 


4. Major Project Work 
Time: 2 weeks
Topic & Activities  Resources 
 

Competency  Chapt.  Exc  Prof  Adeq  Marg  Unsat 
Calculation and interpretation of summary statistics  


Comparing distributions of univariate data graphically: backtoback stem plots, parallel histograms, multiple box plots  
Application and interpretation of z scores  
Construction and interpretation of graphical displays of bivariate data: scatter plots, regression lines, residual plots, outliers, and influential points  
Meaning of and calculation formula for correlation coefficient.  
Meaning of and derivation of least squares line.  
Transformations to produce linearity.  
Types of studies, experimental design  
Random sampling: concept and strategies  
Controlling for bias and sampling error  
Elementary probability theory; probability as relative frequency  
Elementary probability theory; probability as relative frequency  
Simulations with probability distributions  
Concepts and application of the Normal Distribution  
Sampling distributions: sample proportion, sample mean, difference between two sample proportions, difference between two sample means  
Central Limit Theorem  
Confidence Intervals: meaning and techniques *  
Analyzing categorical data: graphically and with the Chi Square Distributions  
Inference for regression 