Building Closed Memorial Day Weekend
The Silicon Valley Campus is closed Saturday, May 27 through Monday, May 29, 2023, in honor of Memorial Day. We will reopen for classes on Tuesday.
This course explores the fundamentals of statistical methods and reasoning. Topics include descriptive methods, data gathering, probability, interval estimation, significance tests, one- and two-sample problems, categorical data analysis, correlation and regression. The instructor will demonstrate the use of spreadsheets and statistical software to analyze and interpret data. Examples are drawn from a variety of fields including biology, business and marketing. While not too mathematically rigorous for the novice, the course provides some mathematical detail to illustrate basic concepts. No prior background in calculus or statistics is required.
Learning OutcomesAt the conclusion of the course, you should be able to
- Display sample data using histograms and similar graphing techniques
- Analyze raw data, whether grouped or ungrouped, by calculating sample statistics including mean, median, variance, standard deviation and range
- Determine the rank of an individual piece of data by determining the particular percentile to which the data belongs
- Solve a variety of problems related to normal distributions
- Find confidence intervals for population mean and proportions and calculate sample sizes required for various confidence levels
- Set-up, calculate and analyze one-sample hypothesis tests of population means and proportions
- Differentiate between situations involving one population and those involving two
- Plot scatter diagrams of paired data and use the principles of linear regression and correlation to analyze such data, predict values of a dependent variable from the regression equation and determine whether the correlation is sufficient to make the regression equation a useful predictor
- Test for independence of row and column characteristics (and homogeneity) in two-way tables
- Understand and use One-Way ANOVA
- Descriptive Statistics
- Hypothesis Testing
- Inference about Two Populations
- The Chi Squared Distribution
Working knowledge of:
- Communication and collaboration tools such as Google Workspace, Microsoft Office, or LibreOffice
- Learning Management Systems (LMS) such as Canvas including navigation links, modules, etc.
Additional InformationPlease review section notes to view the full schedule.
This is not a course that is calculus based and only a beginning to intermediate algebra level of mathematical ability is required.
TI-83, TI-83 plus, TI-84 plus or virtual TI-83 (free and available on the www.drrobertknight.com (Links to an external site.)
Virtual TI-83.html TI-83 Class Notes ClassNotes.pdf
Have a question about this course?
- Save Your Seat
Help us confirm course scheduling. Enroll at least seven days before your course starts.
- Accessing Canvas
Learn more about gaining access to your course on Canvas in our FAQ section.
Accessibility and Accommodation
For accessibility questions or to request an accommodation, please visit Access for Students with Disabilities or email the Extension registrar.
Finance Your Education
Here are ways to pay for your education.
This course is related to the following programs:
Estimated Cost: TBD
Course Availability Notification
Please use this form to be notified when this course is open for enrollment.
Speak to a student services representative.
Call (408) 861-3860