graphing
DESCRIPTION
Graphing. Graphing. Representing numerical information in a picture. Graph shows a picture of a relationship -how two processes relate -what happens when two events occur simultaneously -how one factor influences another. Parts of a Graph. Factors plotted along an axis - PowerPoint PPT PresentationTRANSCRIPT
![Page 1: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/1.jpg)
Graphing
![Page 2: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/2.jpg)
Graphing
• Representing numerical information in a picture.
• Graph shows a picture of a relationship -how two processes relate
-what happens when two events occur simultaneously
-how one factor influences another
![Page 3: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/3.jpg)
Parts of a Graph• Factors plotted along
an axis• Numeric or some
measurable term• Uses a scale• Horizontal = x-axis =
abscissa• Vertical = y-axis =
ordinate
![Page 4: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/4.jpg)
• Independent variable on x-axis (horizontal)•Variable that you select to study•Variable that you manipulate
• Dependent variable on y-axis (vertical)• Values that are
produced• Variable that responds
![Page 5: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/5.jpg)
Data Table – data collected is organized in a table.
Independent Variable → Goes on X axis →data on left side of data table
Dependent Variable → Goes on Y axis → data on right side of data table
Color ofm&m’s
% of each color
Brown 13Yellow 14Red 13Blue 24
Orange 20Green 16
![Page 6: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/6.jpg)
Types of Graphs
Bar Graphs - used to compare
amounts of the same type of measurement
Blazer Liberty Durango Escape Honda0
5
10
15
20
25
City Mileage for Gas Consumption
Type of Car
Num
ber o
f mile
s
![Page 7: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/7.jpg)
Monthly BudgetPie Graph
-used to represent percentage data
![Page 8: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/8.jpg)
Line Graphs-used for representing data that constantly changes at regular intervals- may not necessarily show a regular pattern
![Page 9: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/9.jpg)
Using a graph to determine information not directly measured
or calculated.
• Done with line graphs• Is impossible to measure every point that
exists on that line or a distance from either end of the line constructed from the experimental points.
• Use the processes of interpolation and/or extrapolation
![Page 10: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/10.jpg)
• Interpolation –
• The process of obtaining a value from a graph or table that is located between data points plotted or major points given.
• You make a prediction about what would
happen at a given point.
![Page 11: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/11.jpg)
• How much money did the student earn after 5 hours?
• Since you know how the experiment worked before and after the point of interest, you have a better chance of making a correct prediction.
![Page 12: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/12.jpg)
• Extrapolation – • The process of obtaining a value from a chart or
graph that extends beyond the given data.
• The “trend” of the data is extended past the last point given and an estimate is made of the value.
• You can predict what would happen beyond the measured data.
• Must be done with caution. You must assume that any variable in the experiment would not greatly change.
![Page 13: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/13.jpg)
• How much money did the student earn after 10 hours?
• Extrapolation may not be very accurate since you are assuming the trend continues outside the boundaries of your data points
![Page 14: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/14.jpg)
Analyzing a GraphRelationship is
Inversely Proportional (one
value increase and the other
decreases – line is a curve)
Relationship is Directly
Proportional (both values increase or
decrease at the same rate – line is
straight)
![Page 15: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/15.jpg)
Line Graphs – Kinds of Relationships
Classroom Exercise 1:
![Page 16: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/16.jpg)
Relationship – steady increase over a period of time
Curve is a straight line ~ since both factors are increasing the relationship is directly proportional
![Page 17: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/17.jpg)
Relationship – increases over period of time until a max is reached and then decreases
![Page 18: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/18.jpg)
Relationship – change over period of time then remains constant
![Page 19: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/19.jpg)
Relationship – no change
![Page 20: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/20.jpg)
Relationship – decrease over a period of time
![Page 21: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/21.jpg)
Relationship – unchanged, decrease, remains constant
![Page 22: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/22.jpg)
Building a Graph
1. Identify the variables2. Determine the range of each variable3. Determine the scale (fill at least 2/3 of
paper)4. Number and label each axis5. Plot the data points6. Draw the graph7. Title the graph (provide a key if needed)
![Page 23: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/23.jpg)
“Connecting the dots”
• A line of best fit or also called a “best fit line” is a straight line that best represents the data on a scatter plot.
• This line may pass through some of the points, none of the points, or all of the points.
• It may also be called a "trend" line.
![Page 24: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/24.jpg)
KEY
![Page 25: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/25.jpg)
Best Fit Line
Best fit line may not go through the “O” point
• Choose two points that you think will form the line of best fit.
![Page 26: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/26.jpg)
![Page 27: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/27.jpg)
Classroom Exercise 2:
Draw a graph for this data
Time(min)
Temperature(ºC)
0 10.5 11.0 21.5 112.0 232.5 363.0 463.5 534.0 604.5 725.0 786.0 887.0 1008.0 100
![Page 28: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/28.jpg)
![Page 29: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/29.jpg)
Classroom Exercise 3:
Building a Bar Graph
Month Precipitation in Inches
January 0.78February 0.96
March 2.03April 3.10May 4.29June 4.02July 3.85
August 3.26September 2.91
October 2.31November 1.76December 1.10
![Page 30: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/30.jpg)
![Page 31: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/31.jpg)
Classroom Exercise 4:Building a Circle Graph
Type of tree
Number found
Percentage of total
Angle for pie section
Oak 539
Maple 758
Beech 319
Birch 1327
Hickory 222
Total 3165 100% 360⁰
![Page 32: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/32.jpg)
![Page 33: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/33.jpg)
Classroom Exercise 5:Interpolation and Extrapolation of Data
Time (s)0 1 2 3 4 5 6 7 9
0
10
20
30
40
50
60
70
80Velocity as a Function of Time
![Page 34: Graphing](https://reader036.vdocuments.site/reader036/viewer/2022070420/56815e41550346895dccaea4/html5/thumbnails/34.jpg)
Classroom Exercise 6:Interpreting a Graph