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Chapter 2 Section 3 Using Scientific Measurements Graphs & Tables: Key Features and Reading.

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Presentation on theme: "Chapter 2 Section 3 Using Scientific Measurements Graphs & Tables: Key Features and Reading."— Presentation transcript:

1 Chapter 2 Section 3 Using Scientific Measurements Graphs & Tables: Key Features and Reading

2 X axis: The line on a graph that runs horizontally (left- right) through zero. Y axis: The line on a graph that runs vertically (up-down) through zero. Review a bit…. Chapter 2 Section 3 Using Scientific Measurements

3 Chapter 2 Section 3 Using Scientific Measurements Pie Chart - A special chart that uses "pie slices" to show relative sizes of data. A pie chart is a circular chart divided into sectors, each sector shows the relative size of each value Pie Charts Features and Example

4 Chapter 2 Section 3 Using Scientific Measurements Bar Graphs A Bar Graph (also called Bar Chart) is a graphical display of data using bars of different heights. It is a really good way to show relative sizes: we can see which types of movie are most liked, and which are least liked, at a glance. Key Features

5 Chapter 2 Section 3 Using Scientific Measurements Line Graphs Line Graph - A graph that shows information that is connected in some way (such as change over time) You can also show multiple lines Key Features

6 Chapter 2 Section 3 Using Scientific Measurements Scatter Plot A graph of plotted points that show the relationship between two sets of data. The data is plotted on the graph as "Cartesian (x,y) Coordinates“Cartesian (x,y) Coordinates It is now easy to see that warmer weather leads to more sales, but the relationship is not perfect.

7 You can also draw a "Line of Best Fit" (also called a "Trend Line") on your scatter plot. Try to have the line as close as possible to all points, and as many points above the line as below. Best Fit Straight line Chapter 2 Section 3 Using Scientific Measurements

8 Interpolation is where we find a value inside our set of data points. Here we use linear interpolation to estimate the sales at 21 °C. Extrapolation is where we find a value outside our set of data points. Here we use linear extrapolation to estimate the sales at 29 °C (which is higher than any value we have). Chapter 2 Section 3 Using Scientific Measurements

9 Summary of What Type of Graph to Use Chapter 2 Section 3 Using Scientific Measurements

10 Direct Proportions Two quantities are directly proportional to each other if dividing one by the other gives a constant value. read as “y is proportional to x.” If one variable goes up, the other variable goes up….or vice versa Section 3 Using Scientific Measurements Chapter 2

11 Direct Proportion Section 3 Using Scientific Measurements Chapter 2

12 Inverse Proportions Two quantities are inversely proportional to each other if their product is constant. read as “y is proportional to 1 divided by x.” If one variable goes up and the other variable goes down….and vice versa Section 3 Using Scientific Measurements Chapter 2

13 Inverse Proportion Section 3 Using Scientific Measurements Chapter 2

14 Click below to watch the Visual Concept. Visual Concept Section 3 Using Scientific Measurements Direct and Inverse Proportions Chapter 2

15 Section 3 Using Scientific Measurements Time Lines Shows information in Chronological order. Includes a title, date AND explanation

16 Chapter 2 Section 3 Using Scientific Measurements Tables Used for recording and organizing information Needs title, labels with units and data


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