Dr. Sarah's Statistics Review Sheet for Mon March 19 Test

The exam will cover material on stocks through linear regression. To study for the exam, review relevant WebCT quizzes (quiz 5), class notes, homework (including web based problems) and labs on this material.

The exam will test your skill at creating statistical representations, your understanding of these representations and your skill at communicating the related mathematical ideas in writing. One 8.5*11 sheet with writing on both sides allowed. Calculator is mandatory and straight edge is allowed. Some of the questions will be similar to problems you have seen before. There will also be some problems with new twists to test your deep understanding of the material. Partial credit will be granted as on the last test, so, for example, you can receive full credit for part b) even if it depends on part a) which you did incorrectly, as long as you communicate deep understanding of part b) on your test.

Make sure that you can create various statistical representations of data quickly and correctly
  • mean and median (such as Web Problem 3.1)
  • histogram (such as histograms on class data on miles from hometown)
  • boxplot (such as Web Problems 3.2, 3.3, 3.4, 3.5 and 3.6)

    Make sure that you understand what kind of information you can get from statistical representations where you are not given the data. Make sure that you understand how to deeply analyze various statistical representations of data to give positive or negative advertising spins. Make sure that you understand statistical common sense in the context of the real life problem that we are working on in order to critique statistical conclusions and predictions. This review sheet is being given out early to help you focus as we learn the material, and because the development of these skills requires time and practice. Reviewmarch

  • census and sampling lab and the circle problem
  • mean and median (Stock Stats lab, WebCT questions and notes from class)
  • histogram (WebCT questions and notes from class)
  • boxplot (WebCT questions and notes from class)
  • pie chart (WebCT questions and notes from class)
  • standard deviation (WebCT questions and notes from class)
  • linear regression, including what kind of predictor something is (see textbook p. 201), what prediction the regression line gives for x-values not on the graph (see Example 4.4 on p. 201-202), and whether or not the prediction makes sense given the context of the problem (see also Stock Stats lab, egg bungee lab, class notes, Web based problems and WebCt questions).