There are a few changes for this experiment. You can find these by going to the "Laboratory" link on the class web page (not Carmen). 1) On the report sheet on page 9 you should have the water temp at the top. The next line is the calculated density of water at this temp using the eqn. just below. This eqn was obtained by someone fitting the density obtained in lab at various temperatures between 20 and 30 Celsius. In the data table you are supposed to calc. and record the measured density for each set of mass/volume data. The "actual" density is the number from above. It will be the same all the way down, unless you took the temperature multiple times (for each piece of glassware or each measurement). Technically, you should take the temp of the water each time you use it for a piece of glassware. You aren't told to do this and thus are assuming the temp of the water is the same throughout the experiment. 2) I get a lot of questions about the graphing The graphs have nothing directly to do with the table. You will be making 4 graphs, one for each piece of volumetric glassware. You should graph mass (y) vs. volume (x). Make sure you use the whole piece of paper and spread the data out (good use of the axis) so it takes up most of the space of the graph. Don't make the labels and titles huge (use 10 or 12 point font). Everyone should have received an example of good graphs in lab. Even these graphs don't take up the full page since I had to shrink things so I could write on them. The 2nd graph shows an example when you have more than one set of data plotted. You can bring the legend inside the graph area to allow the graph to spread out and occupy the whole page. You don't need a legend when there's only one set of data plotted (as for each graph in exp 1). You do NOT need grid lines for these graphs for exp 1. The default orientation is Landscape and that generally is the best for graphs. Later for exp 6 you'll see that Portrait mode is the proper orientation. There's also a link you can use to help get you started with Excel if you've never used it before. It's a simple example for a density graph. This is similar to what you are doing in exp 1 but not exactly the same. Go to the following link and you will find this, along with other useful links. http://chemistry.osu.edu/~rzellmer/excel/excel.htm Many of my examples use an older version of Excel (Excel 2003). I have a link explaining the major differences between it and the newer versions. Again, click tabs, right-click, etc. and explore what it can do and where to find things. Remember, 1 graph per page. It should occupy the whole page, which means there should be very little space between the edges of the graph and paper. The data points should occupy the vast majority of the space on the graph (a bare minimum of empty space between the points and the edges of the graph). I get questions about what R^2 is and how this relates to the report questions. Students often wonder how the graph relates to determinate and and indeterminate errors, accuracy and precision. Here's some help and questions to make you think. 1) What is R^2. This is called the "correlation coefficient" (at least in Excel). This is one measure of how good the curve chosen fits the points. Generally, the closer R^2 is to "1" the better the fit. However, R^2 isn't the only indicator about the "goodness" of the fit and can be misleading unless you pretty much know what type of curve the data should fit (i.e. in exp 1 we know the curve should be linear). You can actually get an R^2 close to "1" when fitting a portion of a parabola to a straight line fit. For exp 1 we know the relationship between mass and volume is linear (mass = (density)(volume) + intercept). The closer the points are to the line the less the random error in the data and the better the precision. Is this type of error determinate or indeterminate? 2) What should the intercept be? Did you get this intercept? What could cause you to not get the correct intercept (determinate or indeterminate error)? Is this related to precision or accuracy? Think about what it means if the whole line is shifted up or down so you don't get the correct intercept. 3) How does the % error in the table relate to accuracy or precision? What does it mean if the % error is small? Is this relate to precision or accuracy? What does it mean if the % error in each of the four measurements for a particular piece of glassware are really close to each other?