Course Syllabus
Course Description:
This course will use probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making and creative thinking. Topics introduce the basics of elementary statistical methods including descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education.
Student Learning Outcomes:
- Upon successful completion of the course, students will be able to:
- Distinguish among different scales of measurement and their implications;
- Interpret data displayed in tables and graphically;
- Apply concepts of sample space and probability;
- Calculate measures of central tendency and variation for a given data set;
- Identify the standard methods of obtaining data and identify advantages and disadvantages of each;
- Calculate the mean and variance of a discrete distribution;
- Calculate probabilities using normal and student’s t-distributions;
- Distinguish the difference between sample and population distributions and analyze the role played by the Central Limit Theorem;
- Construct and interpret confidence intervals;
- Determine and interpret levels of statistical significance including p-values;
- Interpret the output of a technology-based statistical analysis;
- Identify the basic concept of hypothesis testing including Type I and II errors;
- Formulate hypothesis tests involving samples from one population;
- Select the appropriate technique for testing a hypothesis and interpret the result;
- Use linear regression for estimation and inference, and interpret the associated statistics; and
- Use appropriate statistical techniques to analyze and interpret applications based on data from disciplines including business, social sciences, psychology, life science, health science, and education.
Required Materials:
Good news! Your textbook for this class is available for free online! If you prefer, you can also get a print version to rent or buy here: https://a.co/d/3WDmNqZ
Your book is available in web view and PDF for free.
Statistics from OpenStax, ISBN 1-947172-05-0
You have several options to obtain this book:
- View online (Links to an external site.) (Links to an external site.)
- Download a PDF (Links to an external site.) (Links to an external site.)
- Download on iBooks (Links to an external site.) (Links to an external site.)
You can use whichever formats you want. Web view is recommended by OpenStax-- the responsive design works seamlessly on any device. If you buy on Amazon, make sure you use the link on your book page on openstax.org so you get the official OpenStax print version. (Simple printouts sold by third parties on Amazon are not verifiable and not as high-quality.) I have no preference what you use, only you know how you learn best!
Text: Introductory Statistics from OpenStax, Print ISBN 1938168208, Digital ISBN 1947172050,
www.openstax.org/details/introductory-statistics
Programs: WebAssign and SPSS - Students may obtain SPSS through Self-Service on their laptops
Calculator: A basic calculator (your phone) is all that is required. For tests I will provide a calculator if you need one. However a TI-83/84 will make the calculations in this course much easier and is permitted.