3.1 Data Handling

• What is the purpose of data handling in mathematics?

  Extract insights from data
• Match the type of data with its example:

  Quantitative Data ↔️ Ages

  Qualitative Data ↔️ Preferences
• Data handling involves using statistical methods to extract meaningful information.

  True
• Numerical data represents values that can be measured or counted.


  True
• What could a bar chart be used to display?

  Number of each fruit type
• What is the primary advantage of using a pictogram?

  Visually engaging and clear
• Pictograms use symbols or icons to represent data
• Scatter plots use lines to show relationships between variables.

  False
• The median is less affected by outliers than the mean.


  True
• What statistical methods are used in data handling to extract meaningful information?

  Statistical techniques
• Categorical data represents non-numerical characteristics such as colors
• Which chart type is best for comparing categories?

  Bar charts
• Match the chart type with its appropriate data:

  Bar Charts ↔️ Categorical data

  Pie Charts ↔️ Proportions of a whole

  Pictograms ↔️ Categorical data with symbols
• What do pictograms use to represent data?

  Symbols or icons
• What do scatter plots reveal about data?

  Relationships
• Quantitative data includes ages, heights, and prices.

  True
• What are the main components of data handling?

  Collection, organization, analysis, interpretation
• What is categorical data used to represent?

  Non-numerical characteristics
• Arrange the following chart types based on their primary use:

  1️⃣ Bar Charts: Comparing categories

  2️⃣ Pie Charts: Showing proportions

  3️⃣ Pictograms: Visualizing data with symbols
• Categorical data represents numerical values used in calculations.

  False
• Pie charts show the proportions or percentages of a whole.


  True
• Match the chart type with its appropriate use:

  Line Graph ↔️ Displaying trends in continuous numerical data

  Scatter Plot ↔️ Exploring correlations between two variables
• What does the mean represent in a data set?

  The average or typical value
• Arrange the stages of data handling in order:

  1️⃣ Data collection

  2️⃣ Data organization

  3️⃣ Data analysis

  4️⃣ Data interpretation
• Match the data type with its description:

  Categorical data ↔️ Non-numerical, can be grouped

  Numerical data ↔️ Quantitative, can be measured
• Bar charts use the height of bars to indicate frequency
• Pictograms are effective for simplifying visual comparisons.

  True
• Pie charts show the proportions or percentages of a whole
• Line graphs are used to show trends over time
• Line graphs are best for visualizing relationships between two numerical variables.

  False
• What is the median of a data set when the values are ordered?

  The middle value
• What does the interquartile range (IQR) represent?

  Spread of middle 50%
• One method for identifying outliers uses the IQR
• In a cumulative frequency table, the cumulative frequency of the last row equals the total number of frequencies
• From a cumulative frequency table, you can determine the number of data points less than or equal to a given value.


  True
• Stages of data handling

  1️⃣ Data collection

  2️⃣ Data organization

  3️⃣ Data analysis

  4️⃣ Data interpretation
• Data handling is vital in GCSE mathematics for extracting insights from numbers and information.

  True
• Match the data type with its description:

  Categorical ↔️ Descriptive, non-numerical data

  Numerical ↔️ Quantitative data that can be measured
• Match the chart type with its use:

  Line Graph ↔️ Show trends over time

  Scatter Plot ↔️ Reveal relationships between variables
• Measures of spread are used to understand the distribution of data.


  True