MATH 2510 Intro to Statistics

Instructor Contact:

Name: Delphy Shaulis, Ph.D.

Email: shaulis@colorado.edu

About the Course:

• This is a fully online course that covers elementary statistical measures. The class introduces statistical distributions, statistical inferences, hypothesis testing, and linear regression. The prerequisite is two years of high school algebra.
• The course material is broken up into weekly modules. Because many of the skills in this course build on earlier sections, it is beneficial to complete each section in sequential order. As with a typical 3-credit course, a learner should expect to spend an average of 12-14 hours per week working through the material in order to successfully complete the course.

Course Prerequisites: Two years of high school algebra

Objectives:

By the end of the course you should be able to:

• Identify and evaluate common sampling techniques and experimental designs.
• Construct and analyze graphical displays to summarize data.
• Compute and interpret measures of center and spread of data.
• Calculate, interpret, and communicate event probabilities using basic concepts of probability, including independence and conditional probability.
• Calculate, interpret, and communicate probabilities using a probability distribution.
• Calculate, interpret, and communicate confidence intervals.
• Perform, interpret, and communicate (the basic components of) hypothesis tests for one and two samples.
• Perform, interpret, and communicate (the basic components of) goodness-of-fit tests and hypothesis tests involving three or more means.
• Calculate, interpret, and communicate the correlation coefficient and simple linear regression equation.
• Implement multiple technological tools to complete statistical analysis and interpret results from technological tools to draw conclusions about data.

Required Texts:

Elementary Statistics, 7^th edition by Larson & Farber, Pearson, 2017. ISBN 9780135901021. A hardcopy of the textbook is optional.

The purchase of a MyLab Statistics Student Access code for this textbook is required, and an ebook version of the text is provided with that access code. The Student Access code may be purchased directly from Pearson when registering for that component of the course or through the CU Bookstore. Be cautious about buying a code from an external third party because some codes are textbook specific, and if the code has been used, then it is worthless. Note that there is a two-week temporary, free trial that can be used to get registered in the MyLab component immediately, even if you are waiting on adequate finances.

Grading :

Your course grade will be computed from:

• 30% = Problem Sets
• 10% = Discussions
• 20% = Projects
• 20% = Midterm Exam
• 20% = Final Exam