Stockert, D., Larson, J., and Noble, D. (2000). The data collected will be helpful to local garden growers in determining which tomato varieties should grow the best under southwestern North Dakota growing conditions.
The Data Analysis section of your research plan includes the procedures that you will use to analyze the data that you collect.
Once your data collection is complete, you will analyze the results recorded in your Daily Log and decide whwhether your hypothesis is supported or rejected. Data visualizations (charts and graphs) will help clarify your analysis.
Your logbook should be a careful, detailed, permanent record of the data that you collect. Choose a sturdy notebook - no pages should ever be torn out - and write in blue or black pen.
Divide your log into two sections:
The log book should be legible, but always write in pen (no typing). Erasing or using white-out could be seen as the “fudging” of data. Always remember to write in third person. You are “the researcher” or “the scientist,” not I, me, we, my, etc. Do not write teacher names, either!
Once you have collected your data, what does it mean? Analyze your results mathematically, using mean, median, mode, range, percentages, etc. to find explanations of your results. Below are some tools that will analyze the data that you upload online:
Charts, graphs, and other visuals can help others to understand your results. Below are some good data visualization tools and resources:
