This page contains some links to pages with material relevant to the elementary statistics course. Some of the links on this page are to Portable Document Format (PDF) files. A PDF viewer such as the free Acroread application are available here.

• Section 04 current semester syllabus
• Section 05 current semester syllabus
• A PDF version of the Tables and Formulas reference card from Sullivan Fundamentals of Statistics, 3rd edition, 2011 Pearson Education, Inc.
• A PDF version of Tables III and IV from Sullivan Fundamentals of Statistics, 3rd edition, 2011 Pearson Education, Inc.
• Sample data files from the textbook.
• Copies of the data for pulse rates and heights collected in class are here as well. If you do not have Minitab or cannot open the Minitab files, the data are available in plain text form (pulse rates and heights).
• An introduction to the practice of statistics emphasizing the collection of data.
• Observational studies versus designed experiments.
• Simple random sampling.
• Other sampling methods.
• Bias in sampling.
• Organizing qualitative data.
• Organizing quantitative data. If you need to print your own graph paper, you may download and print one of the following files:
  • Rectangular grid of 1 cm squares: cmgraph.pdf
  • Rectangular grid of 1 mm squares: mmgraph.pdf
  • Polar grid of 100 subdivisions of a circle: pgraph.pdf
• Graphical misrepresentations of data.
• An introduction to measures of central tendency.
• An introduction to measures of dispersion.
• Some examples and exercises calculating measures of position from data.
• An introduction to exploratory data analysis.
• An introduction to the rules of probability.
• Use of the Addition Rule and complements for finding probabilities.
• Use of the Multiplication Rule for finding probabilities involving independent events.
• The General Multiplication Rule for finding probabilities involving dependent events.
• Basic principles and techniques of counting.
• A summary of probability rules and their uses.
• An introduction to discrete random variables.
• An introduction to the binomial random variable.
• An introduction to continuous random variables emphasizing the normally distributed random variable.
• Finding probabilities associated with the standard normal random variable.
• Applications of the normal random variable.
• Assessing the normality of the distribution of variable values.
• The normal approximation to the binomial random variable.
• The distribution of the sample mean and applications.
• The distribution of the sample proportion and applications.
• Constructing confidence intervals for the population proportion.
• Constructing confidence intervals for the population mean when the population standard deviation is known.
• Constructing confidence intervals using the Student's t-distribution for the population mean when the population standard deviation is not known.
• A summary of methods for constructing confidence intervals.
• An introduction to the language of hypothesis testing.
• Hypothesis testing about a population proportion.
• Hypothesis testing about a population mean when the population standard deviation is known.
• Hypothesis testing about a population mean when the population standard deviation is unknown.
• A summary of hypothesis testing for single populations.
• Constructing confidence intervals and performing hypothesis tests for the proportions of two populations.
• Constructing confidence intervals and performing hypothesis tests for the means of two populations using dependent samples.
• Constructing confidence intervals and performing hypothesis tests for the means of two populations using independent samples.
• A list of sample exercises to help students review hypothesis testing. Answers are also provided.