Hughes This course combines statistical theory and practical application, the latter using examples from ecology and experimental biology to illu-strate some of the more common techniques of experimental design and data analysis. Students will learn how to plan an experiment and consider the observations, measurements, and potential statistical tests before data are collected and analyzed. Other topics include graphical representation of data, probability distributions and their applications, one- and two-way ANOVA and t-tests, regression and cor-relation, goodness-of-fit tests, and nonparametric alternatives. Students will design and analyze their own experiment in the interactive laboratory component of class. Students also learn to use statistical computer software. Prerequisite: Fulfillment of the basic skills component of the Quantitative Reasoning requirement and one course in biology, chemistry, or environmental science. Fulfills the Quantitative Reasoning overlay course requirement. Distribution: Natural and Physical Science Semester: Spring Unit: 1.0
What our students are saying:
I love this app! I have tons of homework and it helps me get it done quickly. This app is AMAZING!!! And I love that when you ask a question it stays anonymous, which makes my mom happy :)
This has helped so much with my homework and studying for tests. Thought it wasn't going to work but it's wonderful and they not only give the answer but explain to you how to do it.
This has to be the BEST math help you can get!!! They’re fast and you'll get help right away! Never heard about an app that is as good as this one! I am really recommending it!
Got it! is great for anyone who needs help with math. It's simple and easy to use, and it’s almost always correct. I absolutely love it!
I’ve learned so much from got it! experts. What I mostly like about this app is when you ask a question they will answer you within 10 minutes. It’s so fast and helpful. I don’t know what I’d do without it!