The appropriate type of graph depends on the type of data.
The basis for the choice of what graph to construct is the independent variable, the principal character.</li></li></ul><li>BAR GRAPH<br /><ul><li>If the independent variable is in the word form, the appropriate graph is a bar graph.
Steps in constructing a data table:</li></ul> Construct a data table with columns containing the independent and dependent variables and derived quantities.<br />Subdivide the column of dependent variable to indicate the number of trials.<br />Record the values of the independent variable in the rows under the column of independent variable.<br />Record the values of the dependent variable that corresponds to each value of the independent variable.<br />Calculate the derived quantity and enter the values in the table.<br />
Sample Data Table:<br />table 5. the effect of fertilizer on the height of plants<br />
Steps to construct a bar graph for the data:<br />1. Prepare a bar graph using the data below.<br /> 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.<br />
2. Write data pairs. You may round off the numbers.<br /> Control: A - 20.6<br /> Horse manure: B - 32.6<br /> Urea: C - 30.8<br />3. Determine scales for axes<br />4. Plot data pairs.<br />5. Draw the bars.<br />
2. Draw and label axes of the graph.<br />3. Write data pairs.<br />4. Determine scales for axes.<br />5. Plot data pairs.<br />6. Join the points to form a line.<br />7. Summarize trends.<br /> As the amount of fertilizer increases, the height of the plant increases. Beyond a certain amount, increase in height is slow.<br />