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    Principles of Graphing Teacher Version

    Key Concepts:

    Understand the three components of a completed graph: (1) main title, (2) x and y-axis

    titles, and (3) using correct units of measurement.

    Distinguish between data representing independentand dependent variables.

    Choose the most appropriate graph to useline, bar, orpiegiven different sets of data.

    Analyzing and interpreting data that may be difficult to appreciate in a table format.

    Introduction:

    As data is gathered during a laboratory investigation or experiment, it is often helpful to not only

    generate data tables, but graph the data for further analysis, comparison, and interpretation.

    Graphs help to show relationships between sets of data that may be difficult to appreciate in a

    table format only. These data are called variables.Independent variables can be changed,

    altered, or modified by the scientist running the experiment.Dependent variables rely on the

    conditions of the investigation. Dependent variables are dependent on the independent variables

    and can be thought of as the outcomes of an investigation or experiment. Three types of graphs

    will be used in this activity: line graphs, bar graphs, and pie graphs.Line graphs generally show

    relationships between two sets of data in which the independent variable is continuous.Bar

    graphs are used when there is no continuity from one piece of data to the next.Pie graphs, also

    called pie charts, are particularly useful when parts or pieces of data will be compared to thewhole. Pie graphs normally include a key or legend describing the data each piece represents.

    Example of a Line Graph

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    http://www.galeschools.com/research_tools/images/src/LineGraph.gif

    Example of a Bar Graph

    http://www.mathworksheetscenter.com/mathtips/bar2.gif

    Example of a Pie Graph

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    http://www.swiftchart.com/pie_ex1.png

    Materials:

    Graph paper (several sheets per student)

    Unlined, white computer paper (several sheets per student)

    Protractors (at least one per student group)

    Metric rulers (at least one per student group)

    Calculators (or use of the calculating function on any cell phone)

    Pencils and/or pens

    Part 1: Pre-lab Questions

    Answer the following pre-lab questions in the space provided.

    1. What are variables and how do they affect scientific investigations?

    Variables can be thought of as factors or items (data) scientists test in order to determinepotential cause and effect relationships in nature. Variables are part of the investigative

    process and can be modified, altered, or controlled by scientists (independent variables) to

    produce expected or unexpected outcome (dependent variables). In general, scientists

    choose to keep all variables constant (controlled for) during an experiment except one,

    which will be to focal point of the investigation.

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    2. Describe the difference(s) between independent and dependent variables.

    A variable is independent when the scientist and not the events of the investigation control

    it. Another common name for an independent variable is the manipulative variable, because

    it is under direct control of the scientist. A variable is dependent because it depends on the

    conditions of the investigation. Dependent variables are also referred to as respondervariables because they change in response to the manipulative, or independent, variables.

    3. What are the three things that all graphs need to be complete?

    a. Main title that briefly explains what the graph illustrates

    b. X and Y-axis titles

    c. Proper units of measurement for the X and Y-axis

    Part 2: Making GraphsFor each of the following groups of data, make the appropriate kind of graph on a separate sheet

    of paper. Be sure to include the three components that complete a graph. Line and bar graphs

    should be drawn on graph paper, whereas pie graphs can be drawn on unlined paper if available.

    1. Relationship of Water Temperature to the Heart Rate of Northwest Pacific Salmon

    Advanced and Basic

    Temperature in Degrees Celsius Heartbeats/Minute

    10C 0/min

    11C 8/min

    13C 12/min

    15C 16/min

    21C 19/min

    29C 23/min

    31C 23/min

    34C 20/min

    38C 0/min

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    Water Temperature vs. Heart Rate of Northwest Pacific Salmon

    0

    3

    6

    9

    12

    1518

    21

    24

    0 11 10 11 13 15 21 29 31 34 38

    Temperature in Degrees Celsius

    Heartbeats/Minute

    2. U.S. Energy Expended in the Production of Wheat for 1975 and 2005 - Advanced

    Input 1975 2005

    Labor 3.0 kcal/m2 1.1 kcal/m2

    Machinery 44.3 kcal/m2 103.9 kcal/m2

    Gasoline 134.2 kcal/m2 196.4 kcal/m2

    Nitrogen 14.2 kcal/m2 232.4 kcal/m2

    Phosphorus 2.2 kcal/m2 11.2 kcal/m2

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    Potassium 1.2 kcal/m2 16.4 kcal/m2

    Seeds 8.4 kcal/m2 15.3 kcal/m2

    Irrigation 4.2 kcal/m2 8.2 kcal/m2

    Insecticides 0.0 kcal/m2 2.5 kcal/m2

    Herbicides 0.0 kcal/m2 2.5 kcal/m2

    Other 15.1 kcal/m2 123.8 kcal/m2

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    U.S. Expended Energy to Produce Wheat in

    1975 and 2005

    0

    20

    40

    60

    80

    100120

    140

    160

    180

    200

    220

    240

    Labor

    Machin

    ery

    Gasoline

    Nitro

    gen

    Phosph

    orus

    Potas

    sium Seeds

    Irriga

    tion

    Insecticides

    Herbicides

    Other

    Input

    kcal/m

    2

    1975

    2005

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    2. U.S. Expended Energy in the Production of Wheat for 2005 -Basic

    Input 2005

    Labor 1.1 kcal/m2

    Machinery 103.9 kcal/m2

    Gasoline 196.4 kcal/m2

    Nitrogen 232.4 kcal/m2

    Phosphorus 11.2 kcal/m2

    Potassium 16.4 kcal/m2

    Seeds 15.3 kcal/m

    2

    Irrigation 8.2 kcal/m2

    Insecticides 2.5 kcal/m2

    Herbicides 2.5 kcal/m2

    Other 123.8 kcal/m2

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    U.S. Expended Energy to Produce

    Wheat in 2005

    0

    20

    40

    60

    80

    100

    120

    140

    160

    180

    200

    220

    240

    Labor

    Machin

    ery

    Gasoline

    Nitro

    gen

    Phosph

    orus

    Potas

    sium

    Seeds

    Irriga

    tion

    Insecticide

    s

    Herbicide

    sOther

    Input

    kcal/m

    2

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    3. Distribution of Butterfly Species in North America Advanced (graphed in degrees)

    Species Name Number of

    each Species

    Fraction of Total

    Students to fill in

    Percent (%) of Total

    Students to fill in

    Degrees

    Students to fill in

    Tiger

    Swallowtail

    4,200 0.0046 0.46% 1.66

    Black

    Swallowtail

    9,200 0.010 1.00% 3.60

    Giant

    Swallowtail

    6,000 0.0066 0.66% 2.36

    Pine White 12,500 0.0137 1.37% 4.93

    Cabbage

    White

    70,000 0.0766 7.66% 27.59

    Orange

    Sulphur

    6,500 0.0071 0.71% 2.56

    Harvester 750,000 0.8211 82.11% 295.60

    Blue Copper 5,000 0.0055 0.55% 1.97

    Great Purple

    Hairstreak

    46,000 0.0504 5.04% 18.13

    Silver-

    Spotted

    Skipper

    4,000 0.0044 0.44% 1.58

    Totals 913,400 ~ 1.0 ~ 100% ~ 360 degrees

    ** Fraction of Total = Number of each Species/Total # of all Species (decimal)

    ** Percent of Total = Number of each Species/Total # of all Species x 100

    ** Degrees = Number of each Species/Total # of all Species x 360

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    Distributions of Butterfly Species in North America

    1.66o1.58o18.1o

    1.9o

    3.6o2.36o

    4.93o 27.59o2.56o

    295.6o

    Tiger Swallowtail Black Swallowtail

    Giant Swallowtail Pine White

    Cabbage White Orange SulphurHarvester Blue Copper

    Great Purple Hairstreak Silver-Spotted Skipper

    ** Note: Due to the small size of several of the pie pieces, the teacher may suggest that

    students combine these pieces together to make graphing more effective. Students should

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    give a new name to this combined piece (e.g. other), add this new piece to their key or

    legend, as well as list the name of each species of butterfly that make up the new piece.

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    3. Distribution of Butterfly Species in North America Basic (graphed in percents)

    Species Name Number of each

    Species

    Fraction of Total

    Students to fill in

    Percent (%) of Total

    Students to fill in

    Tiger

    Swallowtail

    4,200 0.0046 0.46%

    Black

    Swallowtail

    9,200 0.010 1.00%

    Giant

    Swallowtail

    6,000 0.0066 0.66%

    Pine White 12,500 0.0137 1.37%

    Cabbage White 70,000 0.0766 7.66%

    Orange Sulphur 6,500 0.0071 0.71%

    Harvester 750,000 0.8211 82.11%

    Blue Copper 5,000 0.0055 0.55%

    Great Purple

    Hairstreak

    46,000 0.0504 5.04%

    Silver-Spotted

    Skipper

    4,000 0.0044 0.44%

    Totals 913,400 ~ 1.0 ~ 100%

    ** Fraction of Total = Number of each Species/Total # of all Species (report in

    decimal form)

    ** Percent of Total = Number of each Species/Total # of all Species x 100

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    Distribution of Butterfly Species in North America

    82%

    1%

    1%

    1%0%0%5%1%

    1%8%

    Tiger Swallowtail Black Swallowtail

    Giant Swallowtail Pine White

    Cabbage White Orange Sulphur

    Harvester Blue Copper

    Great Purple Hairstreak Silver-Spotted Skipper

    ** Note: Due to the small size of several of the pie pieces, the teacher may suggest that

    students combine these pieces together to make graphing more effective. Students should

    give a new name to this combined piece (e.g. other), add this new piece to their key or

    legend, as well as list the name of each species of butterfly that make up the new piece.

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    Part 3: Post-Lab Questions - Advanced

    1. What is the independent variable for question number one?

    The primary independent variable for question number 1 is the temperature of the water

    as this can be controlled (either increased or decreased) by the scientist. Secondary

    independent variables include: (1) number of fish, (2) species of fish, (3) age of fish, (4) sex

    of fish, and (5) salt concentration of the water.

    1a. The independent variable should be graphed on the X-axis.

    1b. Line graphs show the relationship between two kinds of data in which the

    independent variable is continuous.

    2. Explain your selection of graph type for the data presented in question number two. In

    other words, why did you select the type of graph and why does it illustrate the data given

    the best?

    In general, a bar graph is indicated for this set of data because the data is finite in nature

    and there is no continuity from one piece of data to the next. Specifically, a double bar

    graph is indicated because the question and data table indicate a comparison between two

    years worth of information; 1975 and 2005.

    2a. Bar graphs are used when there is no continuity or continuation from one piece

    of data to the next.

    3. Look at the data given in question number three. What would be an effective way tocheck your math calculations for percents, fractions, and degrees to make sure your graph

    is correct? In other words, what should your totals add up to? (Hint: For degrees, think

    about the shape your graph should be in).

    A good way to check to see if calculations are done correctly is to individually add up all

    the data from the three columnsFraction of Total, Percent (%) of Total, and

    Degreesin the data table. If student calculations are within a few significant digits of

    the expected totals for each category1.0, 100%, and 360 degrees respectivelythen

    calculations were done correctly.

    3a. Give a logical, reasonable explanation as to why your calculations for fractions,

    percent, and degrees may not add up to exactly what you might have expected.

    Normally, if student calculations are considerably off what is expected, a manual

    error in using the calculator is to blame. If student calculations are only off by a few

    significant digits (e.g. 360.76 degrees total instead of 360.0 degrees), generally these

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    types of errors are due to rounding variation. Students may round to the nearest

    tenth, hundredth, or thousandth place which can affect the total slightly.

    Part 3: Post-Lab Questions Basic

    1. What is the independent variable for question number one?

    Students should answer similarly to advanced lab answer given above.

    1a. The independent variable should be graphed on the X-axis.

    1b. Line graphs show the relationship between two kinds of data in which the

    independent variable is continuous.

    2. Why do you think individual bars on a bar graph are not connected to each other as data

    points are in a line graph?

    Bar graphs are used when there is no continuity or connection from one piece of data to the

    next. Points on a line graph are generally connected because there is some kind of

    relationship between the dependent variable and the independent variable which is

    continuous in nature.

    2a. Bar graphs are used when there is no continuity or continuation from one piece

    of data to the next.

    3. Look at the data given in question number three. What would be an effective way to

    check your math calculations for percents and fractions to make sure your graph is

    correct? In other words, what should your totals add up to?

    Students should be able to offer suggestions similar to the projected answers of advanced

    students listed above. Overall, basic students should understand that rounding errors may

    slightly alter final calculations, but not enough to make their answers incorrect.

    3a. Can you think of any other units of measurement pie charts can be graphed in

    other than percentages? (Hint: Think about the shape of a pie graph).

    Pie charts are graphed using the shape of a circle, which is comprised of 360

    degrees. Thus, pie charts can also be graphed in degrees instead of percents which

    are more commonly seen.

    References:

    Activity adapted from Making Graphs by MacMillan Publishing Co., Inc.