1. Data Collection & Presentation Activity

2. Two Types of Data There are two types of data. 1.Quantitative Data 2.Qualitative Data

3. Qualitative vs. Quantitative Qualitative Deals with descriptions. Data can be observed but not measured. Colors, textures, smells, tastes, appearance, beauty, etc. Qualitative → Quality Quantitative Deals with numbers. Data which can be measured. Length, height, area, volume, weight, speed, time, temperature, humidity, sound levels, cost, members, ages, etc. Quantitative → Quantity

7. Science uses Quantitative Data Science uses quantitative data to answer investigative questions, because it is more accurate and precise.

8. Today’s Data Collecting, Processing & Presentation Activity Working with a partner you are going to collect at least two sets of data on the class. 1.One set of data will be qualitative. 2.The other will be quantitative.

9. Quantitative data In your quantitative data you are going to make a quantitative comparison between two features of the class. Examples: – Arm Length vs. Leg length – Heart rate vs. height – Weight vs. height – Length length vs. run speed – Arm Length vs. number of push-ups.

10. Qualitative data Examples: How many people in the class like and don’t like.

11. Step one Discuss with your partner what data you want to collect (you must get your teachers approval) Every group must do something different

12. Step two On a sheet or sheets of paper come up with an organized way to record your data sets. Scientists usually make a data table.

13. Example Table Oxygen Gas Production (ppm) Uncertainty +/- 5 ppm Low Light Intensity Medium LightHigh Light Trial 1200040006000 Trial 2222542326234 Trial 3159938765987 Average200040005000 Standard Deviation 313421391

14. Example Table 2: The difference between boys and girl performance on a Math exam. Boys Scores (%)Girls Scores (%) 6098 6242 6888 7092 6338 6556 6595 5892 6450 6389 Average63,874 Standard Deviation 3,524,3

15. Data table Example 3

16. The number of hookworms and the amount of blood

17. Step three In an organized way enter your data set in MS Excel In excel you will be making a data table for each data set. All data tables should have the following: – Titles – headings describing the numbers – Calculate averages/ means & standard deviation if appropriate

18. Step four Make a graph in excel that displays your data. All graphs should have the following – A descriptive title – X-axis labeled and units if appropriate – Y-axis labeled and units if appropriate – An appropriate scale – Error bars (if appropriate)

19. Error bars represent the standard deviation of the data sets

20. Data Chart 1: CO 2 Concentration over Time for the First Trials

23. Step Five Save your excel spread sheet as your last names first name. Submit your excel spread into my Moodle assignment titled: Data collection and processing activity Your excel sheet should contain – Two data tables – Two graphs displaying data tables.