Menggambar Diagram Pencar Secara Manual - Matematika Wajib SMA Kelas XI Kurikulum Merdeka

Introduction

This tutorial will guide you through the steps to manually create a scatter plot (diagram pencar) for your statistics assignments in high school mathematics. Understanding how to accurately plot data points on a graph is essential for visualizing relationships between two variables, which is a key concept in statistics.

Step 1: Determine the Variables

• Identify your independent variable (X) and dependent variable (Y).
• The independent variable is what you manipulate or control, while the dependent variable is what you measure or observe.
• Example: If you are plotting the relationship between study hours (X) and test scores (Y), study hours are your independent variable.

Step 2: Set Up the Axes

• Draw two axes on your graph paper or digital tool:
  • Horizontal Axis (X-axis): Represents the independent variable.
  • Vertical Axis (Y-axis): Represents the dependent variable.

Step 3: Scale the Axes

• Divide both axes into equal segments.
• Choose a scale that accommodates all data points for both variables.
  • For instance, if your X values range from 0 to 10, you might mark every 1 unit.
  • Similarly, if your Y values range from 0 to 100, you could mark every 10 units on the Y-axis.

Step 4: Plot the Data Points

• For each pair of (X, Y) values, plot a point on the graph:
  • Locate the X value on the horizontal axis.
  • Move vertically to the corresponding Y value and place a dot.
• Continue this for all data points in your dataset.

Step 5: Analyze the Scatter Plot

• Look for patterns or trends in the plotted points.
• Determine if there is a correlation:
  • A positive correlation indicates that as X increases, Y also increases.
  • A negative correlation indicates that as X increases, Y decreases.
  • No correlation means the points do not show any clear trend.

Conclusion

Creating a scatter plot is a straightforward process that allows you to visualize the relationship between two variables. By following these steps—determining variables, setting up axes, scaling, plotting points, and analyzing trends—you can effectively represent your data. For further learning, consider exploring concepts related to correlation and regression analysis to deepen your understanding of statistical relationships.