6.2 Representing Data

• Discrete data consists of whole numbers that can be counted
• Give an example of discrete data.

  Number of students
• What type of data is best represented by line graphs?

  Continuous data
• Match the graph type with its use case:

  Line Graph ↔️ Representing continuous data over time to show trends

  Bar Chart ↔️ Comparing distinct categories or discrete data

  Scatter Plot ↔️ Displaying relationships between two continuous variables
• The height of each bar in a bar chart represents the value for that category.


  True
• What is the strength of a bar chart as a visualization method?

  Comparing discrete values
• Pie charts are effective for displaying categorical data.


  True
• Discrete data consists of whole numbers that can be counted
• Give an example of discrete data.

  Number of cars in a lot
• The strength of a line graph is highlighting trends and patterns in continuous data over time
• What is the primary use of a pie chart?

  Showing proportional sizes
• Line graphs are best for highlighting trends in continuous data over time.


  True
• What do pie charts effectively display?

  Proportional size of parts
• Pie charts are commonly used in business and finance to present data visually.


  True
• What is the primary strength of pie charts compared to other visualizations?

  Displaying proportional sizes
• Histograms help identify outliers and skewness in data.


  True
• Correlation measures the strength and direction of the linear relationship between two variables
• Scatter diagrams are used for displaying the relationship between two continuous variables.
• Discrete data can be divided into fractional parts.

  False
• Continuous data can take any value within a range
• Give an example of continuous data.

  Height of a person
• Line graphs are well-suited for visualizing measurements like temperature, sales figures, or stock prices
• Line graphs are best for visualizing how continuous data changes over a period
• What is the primary strength of bar charts?

  Comparing discrete values
• Line graphs are effective for highlighting trends and patterns in continuous data over time
• Match the visualization method with its strength:

  Bar Chart ↔️ Comparing discrete values across categories

  Line Graph ↔️ Highlighting trends in continuous data over time

  Scatter Plot ↔️ Showing relationships between two variables
• Steps to create a pie chart

  1️⃣ Determine the proportions or values of each category in the data

  2️⃣ Calculate the percentage that each category represents out of the whole

  3️⃣ Visualize the data by drawing a circle and dividing it into slices
• Continuous data can take any value within a range.


  True
• What is the primary use of a line graph?

  Showing trends in data
• What type of data is best represented by a bar chart?

  Discrete data
• What does the height of each bar represent in a bar chart?

  The value for that category
• Scatter plots are used to show relationships between two variables
• Steps to create a pie chart

  1️⃣ Determine proportions or values

  2️⃣ Calculate percentages

  3️⃣ Visualize data with slices
• Pie charts are specifically designed for displaying proportional sizes of categorical data
• Histograms group values into bins to show the distribution of continuous data.
• Match the correlation type with its description:

  Positive ↔️ Both variables increase or decrease together

  Negative ↔️ As one variable increases, the other decreases

  No Correlation ↔️ Variables are unrelated
• What does a correlation coefficient of -1 indicate?

  Strong negative relationship
• What are the two primary types of data?

  Discrete and continuous
• Continuous data is often measured rather than counted.


  True
• Match the type of data with its definition:

  Discrete ↔️ Data that consists of whole numbers that can be counted

  Continuous ↔️ Data that can take any value within a range