The document discusses organizing and presenting data through tables and graphs. It provides examples of how to construct a data table and two types of graphs: bar graphs and line graphs. Bar graphs are used to compare values across categories when the independent variable is in word form. Line graphs connect data points with a line and are used when the independent variable is a number. The document outlines the steps to create each type of graph, including labeling axes, plotting data pairs, and summarizing trends in the data.

1. TABULATING AND GRAPHING THE DATA

4. There are many forms of graph.

5. The appropriate type of graph depends on the type of data.

7. It compares values across categories.

8. Steps in constructing a data table: Construct a data table with columns containing the independent and dependent variables and derived quantities. Subdivide the column of dependent variable to indicate the number of trials. Record the values of the independent variable in the rows under the column of independent variable. Record the values of the dependent variable that corresponds to each value of the independent variable. Calculate the derived quantity and enter the values in the table.

9. Sample Data Table: table 5. the effect of fertilizer on the height of plants

10. Steps to construct a bar graph for the data: 1. Prepare a bar graph using the data below. Draw and label the X and the Y axes of the graph. The x-axis contains all the points for one set of data and also the y-axis.

11. 2. Write data pairs. You may round off the numbers. Control: A - 20.6 Horse manure: B - 32.6 Urea: C - 30.8 3. Determine scales for axes 4. Plot data pairs. 5. Draw the bars.

13. 6. Summarize trend. Plants grown in soil with horse manure are the tallest.

15. It is composed of X and Y axes.

16. Line with markers is displayed at each data value.Steps in constructing a line graph: 1. Construct a data table similar to the table you have constructed for the bar graph.

18. 2. Draw and label axes of the graph. 3. Write data pairs. 4. Determine scales for axes. 5. Plot data pairs. 6. Join the points to form a line. 7. Summarize trends. As the amount of fertilizer increases, the height of the plant increases. Beyond a certain amount, increase in height is slow.