1. Happy Second Day of Autumn! DQ: What are two examples of energy transformations you can observe in the classroom right now? 1.Go over Graphing Homework 2.Graph “Don’t Lose Your Marbles” data 3.Bill Nye Energy video/notes 4.Energy Transformations 5.Energy Transformations Practice 6.HW: Study for Quiz (quiz is Friday, September 25 th )

2. Data and Graph Types Practice 1.Scientists measured the height of sunflower plants each week. IV = continuous DV = continuous 2. Researchers tested the maximum speed of different minivans. IV = discrete DV = continuous 3. A company surveyed the number of people who watched certain TV shows. IV = discrete DV = discrete 4. Farmers measured the weight of vegetables during their growing season. IV = continuous DV = continuous 5. Scientists counted the number of pine cones found on different species of pine trees in Oregon. IV = discrete DV = discrete 6. Students measured the temperature of different chemical reactions in science class. IV = discrete DV = continuous

3. 7. How do you recognize the difference between discrete and continuous data? Explain clearly. If data is qualitative or categories, OR if there are no real values between numbers, then the data is discrete. If data includes measurements with a continuous scale then it is continuous data. 8. Why is it important to know if the independent variable and dependent variable are discrete or continuous? It is important to know which type of data you are collecting because then you will be able to choose the appropriate type of graph that will communicate any data patterns clearly

4. 9. Students measured how changing the number of fins on a model rocket influenced the rocket's flight time. Graph type: Scatter Plot and Line of Best Fit Reason: IV is quantitative but discrete 10. Medical researchers surveyed Oregonians to determine the percentage who drank different caffeinated beverages daily. Graph type: Pie Chart Reason: IV is Discrete data and shows percentages 11. A wireless company reported how many new customers they had compared to their top five competing companies. Graph type: Bar Graph Reason: IV is Discrete and involves categories 12. Scientists measured how the length of English Ivy vines changed over time. Graph type: Line Graph Reason: IV and DV are continuous and involve measurements on a scale

5. Students rolled a marble down a u-shaped track from different heights and measured the maximum height the marble reached on the other side of the track. IV? – Drop height Discrete or continuous? DV? – Maximum height reached Discrete or continuous? What kind of graph should we use… Drop height is quantitative but not continuous because we didn’t test every distance. What kind of graph should we use? Scatter Plot and Line of Best Fit

6. Now… Create a graph using your first data table from “Don’t Lose Your Marbles” Use drop height and average maximum height reached. Once you have plotted the points, use a straight edge to find the line of best fit. Try to have an equal number of points above the line as below the line

7. And Now, Back to Energy… Remember… Energy is neither created nor destroyed – – it only moves around (transfers from one place or thing to another) and – changes form (transforms from one type to another). So any time you observe that something has energy you should be able to identify – the source of that energy and – the pathway the energy took to get there.

8. Example Lighting the bulb Source:BatteryChemical Transfers to: WiresElectrical Bulb Light, heat WiresElectrical Type of energy

9. Solar UV/visible light Electromagnetic Energy Chemical Energy

10. CHEMICAL ENERGY ROTATIONAL ENERGY TRANSLATIONAL ENERGY GRAVITATIONAL POTENTIAL ROTATIONAL ENERGY WHAT ELSE? THERMAL ENERGY (caused by friction and by respiration) SOUND ENERGY