This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: TOPIC #2: GRAPHING (DENSITY AND SPECIFIC GRAVITY CLINICAL USE OF SPECIFIC GRAVITY MEASUREMENTS) Objectives: By the end of today's lab session, you should: 1. Understand the concepts of density and specific gravity, and a standard curve. 2. Be able to perform calculations dealing with density and specific gravity. 3. Have some practical experience in dealing with solutions, presenting data graphically, and determining unknown concentrations using standard curves. 4. Be aware of the clinical usefulness of urine specific gravity measurements. PRESENTING DATA IN GRAPHS GENERAL INFORMATION: Many lab reports (in this class and in life too) involve presentation of data in graphs, and it is important that you know how to do this properly. Graphical presentations are valuable because they present quantitative data in a manner that is easier to understand and interpret than is a list of values in a table. This is because relationships between the two parameters being examined can be seen and appreciated visually in the graph. Each graph should be neat, well organized, and easy to understand. Your graphs should always have: a) An informative title at the top. b) A label on each axis, including the units in parenthesis, as well as appropriate major and minor tick marks. c) Other information, if appropriate. This can be inserted in any convenient blank space on the graph. You may want to draw a box around it. In some cases, the data table and/or relevant calculations can be included on the graph in this manner (see example below). The data points should be accurately placed, and should be large enough to be easily seen. If you know the data points should theoretically fall on a straight line, draw the best straight line through all the points. If the origin (0,0) is a relevant data point, include this point when determining the best straight line as well. If the data lie on a clearly recognizable curved line, draw the best smooth curve through the points. If the data are irregularly situated, it may be best to connect individual data points . Think about what you want to show before you prepare your graph. Also, think about the type of line or curve expected ( what is the likely relationship between the two parameters you are plotting ) before you draw the best line through the points. Note: We would like to use a standardized format for graphing as much as possible in this course (particularly for linear plots see below). See Appendix 1 at the end of this exercise for instructions on making and using graphs in Microsoft EXCEL . You can get help with this during the lab exercise if you bring along your laptop . Remember that a well-prepared graph is one that a first-time reader can easily understand without additional information . The graph below is a best straight line plot; a straight line coming closest to the most points is best since a linear relationship between the two parameters (DNA concentration and Absorbance at 260 nm) is expected. at 260 nm) is expected....
View Full Document
- Fall '07