5.+Data+Tables

See sample data table document here. Note to students about data display: Table 2 contains data that will generate a graph according to the type of data. In this case, the independent variable is discrete and the dependent variable is continuous, so this data would generate a bar graph of the mean temperature (y-axis) vs type of oil (x-axis). The range should be indicated on each bar. The results section contains an extensive paragraph describing in words the central tendency and variation for each type of oil. The conclusion section points out inconsistencies in the data. Perhaps one type of oil had the lowest temperature, but a large range (lack of precision). The inconsistency should be explained with a scientific commentary.

Students who have measured a control and treatment groups should calculate % change. Calculate the mean value and then determine the extent to which each treatment group is different from control.

(Treated - control)/control

3 - satisfies the rubric description, 0 – no elements of the description are present. NA – not applicable

1. Title – Table is numbered with descriptive title so that reader can learn about variables measured from the title. 2. Organization – columns have headings with metric units in parenthesis. 3. Precision – numbers are consistently recorded to according to the precision of the equipment. 4. Qualitative data – key is provided to interpret scale. 5. Written communication – all writing is spell-checked, standard grammar usage

Graphs are constructed from central tendency data - Not from raw data. See Table 8.7 "Making Decisions about Descriptive Statistics and Graphs" in your data packet for a description.