The document discusses different types of variables and data, relationships between variables, and ways to organize data through tables, graphs, and plots. It defines qualitative and quantitative variables, independent and dependent variables, and discusses using bar graphs, line graphs, and scatter plots to show relationships in a secondary organization of data beyond tables.

1. Dealing with Data

2. Observation Natural Experimental

3. Variables Qualitative Attributes Rankable Quantitative Discreet Continuous

4. Relationship between variables Independence/dependence Readings of two variables are obtained to determine their relationship. Independent variable is under the control of the experimenter. Frequency of distribution Number of observations falling within particular categories.

5. Tables:Primary Organization of Data

6. Replicates

7. GraphsSecondary Organization of Data Bar Graph: Data is discreet. Line Graph: Data is continuous. Scatter Plot: Points are not connected, but a “best of fit” curve is used to express a trend.

8. Bar Graphs Label

9. Line Graph Y-axis (DV) Origin X-axis (IV)

10. Scatter Plot Best Fit Curve Outlier

11. Credits <div xmlns:cc="http://creativecommons.org/ns#" about="http://www.flickr.com/photos/thefangmonster/2301364418/"><a rel="cc:attributionURL" href="http://www.flickr.com/photos/thefangmonster/">http://www.flickr.com/photos/thefangmonster/</a> / <a rel="license" href="http://creativecommons.org/licenses/by/2.0/">CC BY 2.0</a></div> (Slide 1) http://farm4.static.flickr.com/3106/3214010519_9d55f7ec9e.jpg?v=0 (Slide 2)