STAT 216M - Introduction to Statistics

Credit(s): 4

Prerequisite(s): grade of “C” or better in M 115, M 121, or M 140, or appropriate placement test score, or Math Department consent.
Graphical methods, measures of location and dispersion, probability, commonly used distributions, estimation, and tests of hypotheses through analysis of variance are introduced. Five major probability distributions are discussed: the binomial, normal, student’s t, chi-square, and the F distribution. (All Semesters)

Course Learning Outcomes: Upon completion of the course, students will be able to

Convert a given population mean and standard deviation to a z-score and obtain probabilities from the z-table.
Demonstrate knowledge of the use of random variables, means and variances, and sampling distributions.
Construct a test statistic for testing any other set value and a confidence interval given a sample mean, sample size, and sample variance.
Determine which degrees of freedom to use for a t-distributions test statistic when testing a hypothesis about a single mean.
Use the t-table to find bounds on a p-value in a t-test, or to find the multiplier to use when building a confidence interval for a mean.
Interpret a confidence interval and relate it to a test of hypothesis.
Set up null and alternative hypotheses, given alpha and a p-value, decide what to do with the null hypothesis and state a conclusion in terms of the problem.
Understand the five distributions listed in the catalog as they relate to estimation and hypothesis testing.