STAT 100 introduces the basic concepts of statistical reasoning and modern computer based techniques for organizing and interpreting data. Students will learn how to summarize data, how to interpret variability in data in terms of probability, and how to apply statistical methods to examples. Real world applications from the social, behavioral and biological sciences are used to illustrate the usefulness of statistical techniques. The MINITAB software package is used throughout the course, providing powerful and easy to use tools for statistical analysis. Computer exercises involving data reduction, graphics, simulation and statistical analysis will be assigned throughout the semester.
Permission of Mathematics Department based on satisfactory score in Math Placement Exam or MATH 110 or MATH 115. Not open to students who have completed MATH 111 or any who have completed MATH or STAT course with a prerequisite of MATH 141.
Populations, samples and data description; MINITAB for data analysis.
Discrete probability, axioms, conditional probability, independence.
Random variables, expected value, variance, standard deviation.
Binomial and normal probability laws.
Statistics and sampling distributions, behavior of averages, central limit theorem.
Estimating means, variances and proportions in large samples, hypothesis testing, confidence limits.
Inference in small samples, Student's t distribution.
Comparing means: paired comparisons, two independent samples.
Categorical data: frequency tables, chi-squared tests for goodness of fit, homogeneity and independence.