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Introductory Laboratory Notes Biology. Quantitative Vs. Qualitative Qualititative: – A description of data without numbers Quantitative: – Numerical data.

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Presentation on theme: "Introductory Laboratory Notes Biology. Quantitative Vs. Qualitative Qualititative: – A description of data without numbers Quantitative: – Numerical data."— Presentation transcript:

1 Introductory Laboratory Notes Biology

2 Quantitative Vs. Qualitative Qualititative: – A description of data without numbers Quantitative: – Numerical data

3 Graphing Some general rules: Keep your units spaced equally 0, 10, 20, 30…. Or.1,.2,.3,.4 ….. NOT 0, 5, 10, 25, 35, 55 Always use the entire piece of graph paper, NO MINI GRAPHS!!!!

4 What are the general names for the variables on the X and Y axis? Independent Variable: (control factor) what you are controlling, frequently time (x-axis) Dependent Variable: (variable factor) What you are measuring, (y- axis) or what you are curious about.

5 Sample Data Years of Education Average Salary 25 + ♂ Average Salary 25 + ♀ Some high school$21,000$12,000 High school diploma$29,000$16,000 Associates degree$35,000$23,000 Bachelor’s degree$48,000$30,000 Master’s degree$58,000$40,000 Please identify the: Independent variable: Dependent variable: Years of Education Average Salary

6 Let’s graph the data!

7 What is Density? Density: Amount of stuff (mass) in a given space (volume) D= M/V Mass (g): How much stuff, this doesn’t depend on gravity, weight does. Volume (mL): How much space is available, (mL or cm 3 ) 1mL= 1cm 3

8 What is the density of a substance with a mass of 200g and a volume of 100mL? D= ? D=M V D = 200 g 100 mL D = 2 g/mL

9 The Scientific Method Observation: Notice something that catches your interest. Hypothesis: Make an inference (assumption) based on observations Experiment: Design an experiment that tests only the hypothesis Results: Display your results in a charts or graphs Conclusion: Does your data support or not support your hypothesis? WHY?????

10 More on Experiment Independent Variable vs. Dependent Variable – Dependent is what you’re measuring! Control: Run the experiment under “normal” conditions and then compare your experimental results to the control Experimental Constants: The things you keep constant during the Experiment


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