1 / 36

Sept. 11 Pg. 12 Focus : Scientific Inquiry Skill: Graphs

Sept. 11 Pg. 12 Focus : Scientific Inquiry Skill: Graphs Objective : Scientists gather and organize data Homework : data table, parent signature Warm Up : Answer Write the steps for creating a data table. What is a graph? How is it different from a data table?. How am I doing?.

olwen
Télécharger la présentation

Sept. 11 Pg. 12 Focus : Scientific Inquiry Skill: Graphs

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Sept. 11 Pg. 12 Focus: Scientific Inquiry Skill: Graphs Objective: Scientists gather and organize data Homework: data table, parent signature Warm Up: Answer • Write the steps for creating a data table. • What is a graph? How is it different from a data table?

  2. How am I doing? 4 columns • Date Assessment Title Grade Signature

  3. Table of Contents 4 columns • Page Number Date Focus Objective #

  4. Draw the Axes

  5. Identify the Axes Y- Axis X- Axis

  6. Identify the Axes Y- Axis Dependent Variable (what is observed and measured) X- Axis Independent Variable (what is changed by the scientist)

  7. DRY MIX One way to remember which data goes on which axis is the acronym DRY MIX. D.R.Y.M.I.X. D- Dependent M- Manipulated R- Responding I- Independent Y- Y-axis X- X-axis

  8. Title • Write an appropriate title for the graph at the top. • The title should contain both the independent and dependent variables.

  9. Scale • Decide on an appropriate scale for each axis. • The scale refers to the min and max numbers used on each axis. They may or may not begin at zero. • The min and max numbers used for the scale should be a little lower than the lowest value and a little higher than the highest value. • This allows you to have a smaller range which emphasizes the comparisons/trends in the data.

  10. Scale • The Y-axis scale is from 0-100. • The largest value though is only 35.

  11. Scale • The Y-axis scale is now from 0-40. • This does a better job emphasizing the comparisons between coins.

  12. Intervals • Look at your minimum and maximum values you set up for both the Y and X-axis. (For most bar graphs, the X-axis will not have numerical values.) • Decide on an appropriate interval for the scale you have chosen. The interval is the amount between one value and the next. • It is highly recommended to use a common number for an interval such as 2, 5, 10, 25, 100, etc.

  13. Intervals The interval for the Y-axis is 20. The X-axis does not have numerical data and does not need an interval.

  14. Labels • Both axes need to be labeled so the reader knows exactly what the independent and dependent variables are. • The dependent variable must be specific and include the units used to measure the data (such as “number of drops”).

  15. Labels DV label IV label

  16. TAILS Another handy acronym to help you remember everything you need to create your graphs….. T.A.I.L.S. Title Axis Interval Labels Scale

  17. TAILS Title: Includes both variables Axis: IV on X-axis and DV on Y-axis Interval: The interval (4) is appropriate for this scale. Label: Both axes are labeled. Scale: Min and max values are appropriate.

  18. Graphing Rules Notes • Purpose of a Graph: to show data visually • Bar graphs: used for data that is not connected, such as types of vegetables

  19. 100 90 80 70 60 50 40 30 20 10 0 Dependent Variables Title Y axis label Bars Independent Variables X axis label

  20. 100 90 80 70 60 50 40 30 20 10 0 Dependent Variables TitleVegetable Choices of Guinea Pigs Y axis label Percentage of Food Choice Discontinuous Data: Bar Graph Independent Variables Carrots Broccoli Lettuce X axis label Food Choices

  21. How to Make a Bar Graph 1. Dependent Variable: y-axis 2. Independent Variable: x-axis 3. Number the y-axis 4. Label the x and y-axis 5. Draw a bar for each data value 6. Label each bar 7. Give your graph a title

  22. Graphing Rules Notes • Purpose of a Graph: to show data visually • Line graphs: used for data that is connected, such as over a period of time. Lines consist of connected dots.

  23. Line Graph • A line graph is a graph used to show change over time!! What can time be measured in??? Seconds - Minutes - Hours – Days - Weeks - Months – Years - Decades - Centuries - etc.

  24. When to use a line graph? Would we use a line graph in the following situations: • To show how many people like pizza in this class? NO • To show how much it rained each month this year? YES- because months and years deal with time. • To show how many people live in East Meadow? NO

  25. Y X How do we make a line graph? • A line graph ALWAYS has a title! • A line graph has two different axis’s • An axis is either the horizontal line (called x) or the vertical line (called y) that form the base lines of a graph.

  26. 100 90 80 70 60 50 40 30 20 10 0 Dependent Variables Title Y axis label Points Independent Variables X axis label

  27. Time in minutes Plotting a Line graph • When we are plotting a line graph, it is important to read what information is on each axis. • There must be a label on each axis that describes the information. • Much like a bar graph, we look at the x-axis first in order to plot our points.

  28. Car Trip Time Is this an acceptable graph?

  29. Bar Graphs vs Line Graphs

  30. Bar Graphs • Bar graphs are descriptive. • They compare groups of data such as amounts and categories. • They help us make generalizations and see differences in the data.

  31. Example

  32. Another example

  33. Line Graphs • Line graphs show a relationship between the two variables. They show how/if the IV affects the DV. • Many times, the IV plotted on the X-axis is time. • They are useful for showing trends in data and for making predictions.

  34. Example

  35. Another example

More Related