 Most scientific graphs are made as line graphs. There may be times when other types would be appropriate, but they are rare.  The lines on scientific.

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Presentation transcript:

 Most scientific graphs are made as line graphs. There may be times when other types would be appropriate, but they are rare.  The lines on scientific graphs are usually drawn either straight or curved.

 These "smoothed" lines do not have to touch all the data points, but they should at least get close to most of them.  They are called best-fit lines.  In general, scientific graphs are not drawn in connect-the-dot fashion.

 Two examples of best-fit graph lines are pictured below. One is drawn correctly; the other is not.  Which graph is correct? Graph A Graph B Graph B is correct because the line is closer to more data points.

 A graph is a visual representation of a relationship between two variables, x and y.

 A graph consists of two axes called the x (horizontal) and y (vertical) axes. These axes correspond to the variables we are relating.  In economics we will usually give the axes different names, such as Price and Quantity. Price (Dollars) Quantity

 The point where the two axes intersect is called the origin. The origin is also identified as the point (0, 0).

 Use the graph above to answer the three questions for this problem. 1. Which point is on the y-axis? 2. Which point is labeled (20, 60)? 3. Which point(s) have a y-coordinate of 30? Example A B A, C

 Use the graph above to answer the three questions for this problem. 1. Which point is (0, 6)? 2. What is the y-coordinate of point S? 3. What are the coordinates of point T? R zero (1, 5)

 Use the graph above to answer the four questions for this problem. 1. Which point(s) lie on the x-axis? 2. What is the y-coordinate of point S? 3. What are the coordinates of point Q? 4. What are the coordinates of point T? V, R 25 (0, 10) (15, 20)

 The characteristic or element that remains the same is called a constant.  Example: the number of donuts in a dozen is always 12. So, the number of donuts in a dozen is a constant.

 Other these values can vary (Example: the price of a dozen donuts can change from $2.50 to $3.00).  We call these characteristics or elements variables.  Variable is the term for any characteristic or element that changes. You should be able to determine which characteristics or elements are constants and which are variables.

Practice Example  Which of the following are variables and which are constants? 1. The temperature outside your house. 2. The number of square feet in a room 12 feet by 12 feet. 3. The noise level at a concert. variable constant variable

 Which of the following are variables and which are constants? 1. Price of a gallon of gas. 2. Number of inches in a foot. 3. Number of leaves on a tree. 4. Capacity of the gas tank of your car. variable constant variable constant

 Graphs are a useful tool in science.  The visual characteristics of a graph make trends in data easy to see.  One of the most valuable uses for graphs is to "predict" data that is not measured on the graph.

 Extrapolate: extending the graph, along the same slope, above or below measured data.  Interpolate: predicting data between two measured points on the graph.

STEPWHAT TO DOHOW TO DO IT 1 Identify the variables a. Independent Variable (Controlled by the experimenter) ·Goes on the X axis (horizontal) ·Should be on the left side of a data table. b. Dependent Variable (Changes with the independent variable) · Goes on the Y axis (vertical) · Should be on the right side of a data table.

STEPWHAT TO DOHOW TO DO IT 2 Determine the variable range a.Subtract the lowest data value from the highest data value. b.Do each variable separately.

STEPWHAT TO DOHOW TO DO IT 3 Determine the scale of the graph a.Determine a scale, the numerical value for each square, that best fits the range of each variable. b. Spread the graph to use MOST of the available space.

STEPWHAT TO DOHOW TO DO IT 4 Number and label each axis · This tells what data the lines on your graph represent. Label both the x- and y-axis.

STEP WHAT TO DOHOW TO DO IT 5 Plot the data points a.Plot each data value on the graph with a dot. b. You can put the data number by the dot, if it does not clutter your graph.

STEP WHAT TO DOHOW TO DO IT 6 Draw the graph a.Draw a curve or a line that best fits the data points. b. Most graphs of experimental data are not drawn as "connect- the-dots".

STEP WHAT TO DOHOW TO DO IT 7 Title the graph a.Your title should clearly tell what the graph is about. b. If your graph has more than one set of data, provide a "key" to identify the different lines.

Age of the tree in years Average thickness of the annual rings in cm. Forest A Average thickness of the annual rings in cm. Forest B The thickness of the annual rings indicates what type of environment was occurring at the time of its development. A thin ring usually indicates a lack of water, forest fires, or a major insect infestation. A thick ring indicates just the opposite.

Age of the tree in years Average thickness of the annual rings in cm. Forest A Average thickness of the annual rings in cm. Forest B A. Make a line graph of the data.

Age of the tree (years) Average thickness of annual rings (cm) 1. Identify the variables (Independent variable is on left side of data table.) 2. Determine the range 3. Determine the scale 4. Number and label each axis 5. Plot the points 6. Draw the graph 7. Title the graph & provide a “key” Blue = Forest A Red = Forest B Growth of Forests

Age of the tree in years Average thickness of the annual rings in cm. Forest A Average thickness of the annual rings in cm. Forest B B. Make a key for the different forests being graphed. Blue = Forest A Red = Forest B

Age of the tree in years Average thickness of the annual rings in cm. Forest A Average thickness of the annual rings in cm. Forest B C. What is the dependent variable? average thickness of the annual rings

Age of the tree in years Average thickness of the annual rings in cm. Forest A Average thickness of the annual rings in cm. Forest B D. What is the independent variable? Age of the trees

Age of the tree in years Average thickness of the annual rings in cm. Forest A Average thickness of the annual rings in cm. Forest B E. What was the average thickness of the annual rings of 40 year old trees in Forest A? 3.0 cm

Age of the tree in years Average thickness of the annual rings in cm. Forest A Average thickness of the annual rings in cm. Forest B E. What was the average thickness of the annual rings of 40 year old trees in Forest B? 3.8 cm

Age of the tree in years Average thickness of the annual rings in cm. Forest A Average thickness of the annual rings in cm. Forest B F. Based on this data, what can you conclude about Forest A and Forest B? In general, Forest B has greater thickness of the annual rings.

A. Make a line graph of the data. pH of waterNumber of tadpoles

pH of water Number of tadpoles 1. Identify the variables (Independent variable is on left side of data table.) 2. Determine the range 3. Determine the scale 4. Number and label each axis 5. Plot the points 6. Draw the graph 7. Title the graph & provide a “key” Tadpoles and Water Acidity

B. What is the dependent variable? Number of tadpoles pH of waterNumber of tadpoles

C. What is the independent variable? pH of water Number of tadpoles

D. What is the average number of tadpoles collected per sample? 58 pH of waterNumber of tadpoles

E. What is the optimum water pH for tadpole development? 6.5 pH of waterNumber of tadpoles

F. Between what two pH readings is there the greatest change in tadpole number? 6.0 and 6.5 pH of waterNumber of tadpoles

G. How many tadpoles would we expect to find in water with a pH reading of 5.0? zero pH of waterNumber of tadpoles

Ethylene is a plant hormone that causes fruit to mature. The data above concerns the amount of time it takes for fruit to mature from the time of the first application of ethylene by spraying a field of trees. Amount of ethylene in ml/m 2 Wine sap Apples: Days to Maturity Golden Apples: Days to Maturity Gala Apples: Days to Maturity

A. Make a line graph of the data. Amount of ethylene in ml/m 2 Wine sap Apples: Days to Maturity Golden Apples: Days to Maturity Gala Apples: Days to Maturity

Amount of ethylene (mL/m 2 ) Days to maturity (days) Red = Wine sap apples Green = Golden apples Blue = Gala apples An Apple a Day

B. Make a key for the different kinds of apples being graphed. Amount of ethylene in ml/m 2 Wine sap Apples: Days to Maturity Golden Apples: Days to Maturity Gala Apples: Days to Maturity Red = Wine sap apples Green = Golden apples Blue = Gala apples

C. What is the dependent variable? Amount of ethylene in ml/m 2 Wine sap Apples: Days to Maturity Golden Apples: Days to Maturity Gala Apples: Days to Maturity Days to maturity

D. What is the independent variable? Amount of ethylene in ml/m 2 Wine sap Apples: Days to Maturity Golden Apples: Days to Maturity Gala Apples: Days to Maturity Amount of ethylene

A clam farmer has been keeping records of the water temperature and the number of clams developing from fertilized eggs. The data is recorded above. Water Temperature in ºCNumber of developing clams

A. Make a line graph of the data. Water Temperature in ºCNumber of developing clams

Water temperature (°C) Number of developing clams Clams and Heat

B. What is the dependent variable? Number of developing clams Water Temperature in ºCNumber of developing clams

C. What is the independent variable? Water temperature Water Temperature in ºCNumber of developing clams

D. What is the optimum temperature for clam development? 30°C Water Temperature in ºCNumber of developing clams

A car accelerates from rest. The data table displaying the distance and time traveled is shown. Time (seconds)Distance (meters) A. Graph the data.

Time (s) Distance (m) The Accelerating Car

The volume of a gas decreases as the temperature of the gas decreases. A sample of gas was collected at 100 degrees Celsius and then cooled. The changes in the volume of the sample are shown below. Temperature (°C)Volume (mL) A. Graph the data.

Temperature ( º C) Volume (mL) Gas Expansion