Topic 11.2: Measurement and Data Processing Graphing.

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Topic 11.2: Measurement and Data Processing Graphing

Transcript of Topic 11.2: Measurement and Data Processing Graphing.

Page 1: Topic 11.2: Measurement and Data Processing Graphing.

Topic 11.2: Measurement and Data Processing

Graphing

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11.2 Graphing

EI: Graphs are a visual representation of trends in data.

NOS: The idea of correlation – can be tested in experiments whose results can be displayed graphically.

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U 1. Graphical Techniques

Why do are graphs used?

•Graphs are an effective means of communicating the effect of the independent variable on a dependent variable, and can lead to determination of physical quantities.

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U1. Graphical Techniques

• Graphs are used to present and analyze data.– show the relationship

between the independent variable and the dependent variable

Independent

Example Graph

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U2. Sketched graphs

• Sketched graphs:– Have labeled, but unscaled

axes– Used to show qualitative

trends• Variables that are

proportional or inversely proportional

Independent

Example Graph

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U3. Drawn Graphs

Graphs MUST have:• A title• Label axes with

quantities and units

Time (min.)

Candle Mass After Burning

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U3, A &S 1. Drawn Graphs

Graphs MUST have:• Use available space as

effectively as possible• Use sensible linear

scales- NO uneven jumps• Plot ALL points correctly

Time (min.)

Candle Mass After Burning

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A&S 3. Best Fit Lines

Best Fit Lines should be – drawn smoothly and

clearly– Do not have to go

through all the points, but do show the overall trend

Time (sec)

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A & S 4 Physical quantities from graphs

• Find the gradient (slope) and the intercept• Use y = m x + b for a straight line

• y= dependent variable• x = independent variable• m= the gradient (slope)• b = the intercept on the vertical (y) axis

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A & S 4 Physical quantities from graphs

• Ex: to find the slope (m), find 2 data points (2,5) and (4, 10)

m= (y2-y1) = (10-5) = 5 = 2.5

(x2-x1) (4-2) 2

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A & S 2. Interpretation of Graphs

Variables:Independent- the cause,

plotted on the horizontal axis (x-axis)AKA: Manipulated

Independent

Example Graph

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A & S 2 Interpretation of Graphs

Variables:Dependent- the effect,

plotted on the the vertical axis (y-axis)AKA: Responding

Independent

Example Graph

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A & S 2. Interpretation of Graphs

Interpolation: determining an unknown value using data points within the values already measured

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A & S 2. Interpretation of Graphs

Extrapolation: when a line has to be extended beyond the range of the measurements of the graph to determine other values– Absolute zero can be

found by extrapolating the line to lower temperatures.

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Graphing in Excel

• Enter data into Excel– IV in left column– DV in right column

• Highlight data with mouse• Click on

– “Insert” tab– “Scatter with smooth lines & markers”

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Graphing in Excel• Edit titles under “Chart Tools: Layout”

– Graph Title: “IV vs. DV”– IV with units on x-axis– DV with units on y-axis– Change gridlines to your liking

• Establish Line of Best Fit– Right click on line and “Add Trendline”– Make sure “Linear,” “Automatic” and “Display Equation

on Chart” are all checked– Press Close… and voila!!!