our

  S c h e d u l e  

MAT201 · Franklin College · Erich Prisner · 2006
Tuesday Tuesday Wednesday Thursday

May 28: Introduction, Syllabus, 1.1 What is Statistics? 1.2 Random Sampling, 2.1 Bar Graphs, Circle Graphs, and Time Plots,

May 29: 2.2 Frequency Distributions and Histograms, 3.1 Mode, Median and Mean,  May 30:  3.2 Variance and Standard Deviation, Chebishev's Theorem May 31: 3.3 Mean and Standard Deviation of Grouped Data, 3.4 Percentiles and Box and Whisker Plots, 1.3 Experimental design,

June 4:  10.1 Paired Data and Scatter Diagrams, 10.2:  Linear Regression, 

June 5: 10.3 Correlation Coefficient 4.1 Probability  June 6: 4.2 Probability Rules, Bayes' Theorem,    June 7: 4.3 Trees and Counting Techniques 
June 11: 5.1 Random Variables and Probability Distributions  June 12: Midterm, some other business. June 13: 5.2 Binomial Distribution, June 14: 5.3: Binomial Distribution,
June 18: 6.1, 6.2 Normal Distribution June 19: 6.3, 6.4 Normal Distribution  June 20: (5.4 Geometric and Poisson Distribution) June 21: 7.1 Sampling Distributions 7.2 The Central Limit Theorem
June 25: 7.3 Sampling Distributions for proportions. June 26: 8.1-8.2 Mean Estimation. June 27:  Review June 28:  Final 

Erich Prisner, May 2007