7.3.2 Graphical Representation

• Bar graphs are used for categorical or discrete data.

  True
• A pie chart is used to represent proportional or percentage data.
• Bar charts are particularly useful for comparing values across different categories.


  True
• What type of graph is best for highlighting changes over a continuous scale?

  Line graph
• A line graph uses data points connected by straight line segments to represent how a value changes.
• Line graphs allow readers to easily identify trends, patterns, and changes over time or across a continuous variable.
• Pie charts are effective for visualizing the relative size or composition of different categories within a whole.
• Bar charts use rectangular bars to represent data and are effective for comparing different categories.
• Bar charts are useful for comparing values across different categories because the bars make differences visually clear.
• Bar charts are useful for comparing values across different categories.


  True
• Line graphs are ideal for illustrating continuous, time-series data, unlike bar charts, which are better for comparing distinct categories
• Match the key element of a line graph with its description:

  X-axis ↔️ Represents the independent variable

  Y-axis ↔️ Represents the dependent variable
• Pie charts are best suited for showing proportions rather than trends over time.


  True
• A correlation coefficient of -1 indicates a strong negative correlation between variables.


  True
• What does an 'r' value of -1 indicate in correlation analysis?

  Strong negative correlation
• Match the graph type with its appropriate data type:

  Line Graph ↔️ Continuous, time-series data

  Bar Graph ↔️ Categorical or discrete data

  Scatter Plot ↔️ Bivariate data

  Pie Chart ↔️ Proportional or percentage data
• Scatter plots are used to show the relationship between two variables.


  True
• Steps to create a line graph

  1️⃣ Label the x-axis with time and the y-axis with values

  2️⃣ Plot the data points on the graph

  3️⃣ Connect the data points with lines

  4️⃣ Add a title and key if multiple lines are used
• When interpreting graph data, it's essential to understand the axes scales, labels, and titles
• Steps to construct a pie chart:

  1️⃣ Identify the categories and their proportions

  2️⃣ Draw a circle representing 100%

  3️⃣ Divide the circle into proportional slices

  4️⃣ Add labels and percentages to each slice
• Match the graph type with its key interpretive skill:

  Bar Chart ↔️ Compare quantities across categories

  Line Graph ↔️ Identify trends over time

  Pie Chart ↔️ Assess proportional contributions

  Scatter Plot ↔️ Recognize correlation between variables
• What type of data does a bar chart compare effectively?

  Categorical data
• What does a pie chart show in data interpretation?

  Proportional composition
• Steps to create a line graph:

  1️⃣ Label the x-axis with time and the y-axis with values

  2️⃣ Plot the data points on the graph

  3️⃣ Connect the data points with lines

  4️⃣ Add a title and key if needed
• A line graph is best suited for displaying continuous, time-series data
• Match the graph type with its corresponding data type:

  Line Graph ↔️ Continuous, time-series data

  Bar Graph ↔️ Categorical or discrete data

  Scatter Plot ↔️ Bivariate data

  Histogram ↔️ Frequency distribution of continuous data
• Steps to construct a basic bar chart

  1️⃣ Identify the x-axis (categories) and y-axis (values)

  2️⃣ Draw vertical bars for each category, with the height of the bar representing the value for that category

  3️⃣ Add labels to the x-axis and y-axis, and include scales
• Steps to construct a line graph

  1️⃣ Label the x-axis with time and the y-axis with values

  2️⃣ Plot data points on the graph

  3️⃣ Connect the points with lines to show trends

  4️⃣ Add a title and key if multiple lines are used
• Bar charts are used to highlight changes over a continuous scale.

  False
• Match the element of a line graph with its description:

  X-axis ↔️ Represents the independent variable

  Y-axis ↔️ Represents the values being measured

  Data Points ↔️ Individual data points plotted on the graph

  Line ↔️ Connects data points to show trends
• Steps to construct a pie chart

  1️⃣ Identify categories and their proportions

  2️⃣ Draw a circle to represent the total

  3️⃣ Divide the circle into slices proportional to the data

  4️⃣ Add labels and percentages to each slice
• Match the graph type with its suitable data type:

  Line Graph ↔️ Continuous, time-series data

  Bar Graph ↔️ Categorical or discrete data

  Scatter Plot ↔️ Bivariate data showing relationships

  Pie Chart ↔️ Proportional or percentage data
• Steps to construct a basic bar chart

  1️⃣ Identify the x-axis (categories) and y-axis (values)

  2️⃣ Draw vertical bars for each category

  3️⃣ Add labels and scales to the axes
• Steps to construct a basic bar chart

  1️⃣ Identify the x-axis (categories) and y-axis (values)

  2️⃣ Draw vertical bars for each category, with the height representing the value

  3️⃣ Add labels to the x-axis and y-axis, and include scales
• Match the type of bar chart with its axis arrangement:

  Vertical ↔️ X-axis: Categories, Y-axis: Values

  Horizontal ↔️ X-axis: Values, Y-axis: Categories
• Line graphs use straight line segments to connect data points and show trends.


  True
• Steps to develop a pie chart

  1️⃣ Identify the categories and their proportions

  2️⃣ Draw a circle to represent the total

  3️⃣ Divide the circle into slices proportional to the data

  4️⃣ Add labels and percentages to each slice
• The correlation coefficient ranges from -1 to 1
• A line graph is used for continuous, time-series data
• Scatter plots and correlation analysis are used to measure relationships between two continuous variables