The primary text used for the course is: "T"
Moore, David and George McCabe, Introduction to the Practice of Statistics, 2nd ed., New York: W.H. Freeman, 1993.
References and Resource Materials
"V" The Annenberg/CPB "Against All Odds: Inside Statistics" ( 26 hourlong videos) Burlington, Vermont: The Annenberg/CPB Collection, 1989. (1800Learner)"B" Barbella, Peter, James Kepner and Richard L. Scheaffer, Exploring Measurements, Palo Alto: Dale Seymour Publications, 1994.
"S" Gnanadesikan, Mrudulla, Richard L. Scheaffer and Jim Swift, The Art and Techniques of Simulation, Palo Alto: Dale Seymour Publications, 1987.
"L" Landwehr, James M., Jim Swift, and Ann E. Watkins, Exploring Surveys and Information From Samples, Palo Alto: Dale Seymour Publications, 1987.
"M" Moore, David, Statistics Concepts and Controversies, New York: W.H. Freeman and Company, 1985.
"C" The North Carolina School of Science and Mathematics, Contemporary Precalculus through Applications, Providence, RI: Janson Publications, Inc., 1991.
"A" Scheaffer, Richard L., Mrudulla Gnanadesikan, Ann Watkins, and Jeffrey A. Witmer. Activity Based Statistics. New York: SpringerVerlag, 1996.
"G" Tanur, J. et al (eds.) Statistics: A Guide to the Unknown, 3rd ed. Belmont CA; Wadsworth, 1989.
"F" CBS video "Fact or Fiction",
"O" Other resource materials that are used in the classroom come from articles in newspapers and journals. Students often bring in data sets they collect or download from the World Wide Web.



Week 1



G pages 315 Essay "The Biggest Public
Health Experiment Ever: The 1954 Field Trial of the
Salk Poliomyelitis Vaccine" F video "Fact or Fiction" O Journal Articles about Experimental
Design: Readings from the Harvard Women's
Newsletter. Nova Video "Can You Still Get Polio?" 

Week 2  3 

Exploring Data. Graphical displays of distributions of univariate data: boxplots, stemplots, histograms, frequency charts. Stress  Center, spread, clusters, gaps, outliers. Summarizing distributions of univariate data: Mean, median, mode, range, interquartile range, quartiles, standard deviation, percentiles, standardized scores (zscores). Comparing distributions of univariate data. Compare center, spread, clusters, gaps, outliers and shapes within groups and between dotplots, stemplots and boxplots.
Approximately 2 days are spent in instruction with the TI83 calculator and 2 days in the computer lab working with Minitab. Students use data generated in the class for classroom exercises. Project 1 on distorted graphs is due at the end of week 3. Test. 
T pages 146 

Week 4  6 

Standard Deviation and variance: Properties of standard deviation and the effects of changing measurements and linear transformations on summary measures. Normal quantile plots to assess normality. Students spend one day in the computer lab standardizing data, graphing normal quantile plots, and interpreting information from the graphical and numerical displays of data. Project 2 on data collection and representation is due at the end of week 6. Test. 
T pages 4693
V Video: Normal Distributions, Normal Calculations, and Time Series (4,5,6 ).


Week 79 

Bivariate Data: Analyzing patterns in scatterplots, time series, smoothing scatterplots, correlation and linearity, least squares regression line, residual plots, outliers, influential points, and transformations to achieve linearity. Approximately 2 days are spent in instruction with the TI83 calculator. One day Minitab lab on calculating the least squares regression line. Students explore the effect of outliers and influential points. Project 3: Two days are spent in the classroom for a data collection and curve fitting lab. Pairs of students work together to generating 3 sets of bivariate data. Students use calculators and computers to write equations of the curves that best fit their data and then answer questions about their data collection techniques, inferences from their data, and experimental design. Test. 
T pages 96183.
C pages 143165. V Videos: Models for Growth, Describing Relationships, Correlation (7, 8, 9).


Week 1012 
Relations in categorical Data: Analyzing 2way tables, conditional relative frequencies and association. The question of causation: Anecdotal evidence, observational studies and experiments. Test 
T pages 183217 V Video: 

Week 1314 

Experimental Design,Sampling, and Data Collection: Simple random sampling, sampling error, bias, stratifying,confounding, blocking, replication. Two days are spent on class activities to develop an understanding of randomness and sampling. Project 4: Writing a questionnaire and conducting a survey is due at the end of the 14th week. Test. 
T pages 221276 M pages 3109 B pages 52101 L pages 3651 V Videos: Experimental Design, Blocking and Sampling (12, 13). 

Week 15 

Probability: Basic Probability Rules. Test. 


Week 1617 

Random variables and sampling distributions: Simulation of probability distributions and sampling distributions. One day is spent in the computer lab exploring randomness and simulating probability distributions. Test. 


Week 18 Review and Final Exam. 
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