Inline Questions (Data Handling)

Day 1: Introduction to Data

  1. Can anyone tell me what data is in simple words?
  2. Look around the class—what kind of data can we collect about your classmates?
  3. Which of these is qualitative: favorite color or height in cm? Why?
  4. Which of these is quantitative: number of books or type of fruit? Why?
  5. Can you give another example of qualitative data from your school?

Day 2: Collecting and Organizing Data

  1. If 5 students like mangoes, how will you represent it using tally marks?
  2. How do tally marks help us count faster than writing numbers directly?
  3. What would the tally marks look like for 7 students?
  4. Can you make a tally for your favorite sport in class?
  5. How do we convert tally marks into a table?

Day 3: Representing Data in Tables

  1. How many students like oranges according to this table?
  2. Which fruit is the most liked by students?
  3. Can you make a frequency table for 5 different fruits?
  4. How do we calculate total number of students from a table?
  5. If one fruit has zero students liking it, how do we show it in a table?

Day 4: Pictographs (Part 1)

  1. What does one symbol in this pictograph represent?
  2. If 3 symbols are drawn for blue color, how many students like blue?
  3. Can we use the same symbol for another survey?
  4. How do we decide the scale of the pictograph?
  5. Can you draw a pictograph for the data of your favorite classroom activity?

Day 5: Pictographs (Part 2)

  1. Which category has the highest number of symbols?
  2. Which activity is least preferred according to the pictograph?
  3. How many more students like apples than oranges?
  4. Can we make a pictograph from the data in the table we created yesterday?
  5. What happens if we change the scale of the pictograph?

Week 2

Day 6: Introduction to Bar Graphs

  1. What does the height of a bar in a bar graph show?
  2. Which axis shows the categories and which shows the frequency?
  3. Can a bar graph represent qualitative data? How?
  4. How would you choose the scale for the y-axis?
  5. Why should bars be of equal width?

Day 7: Drawing Bar Graphs

  1. How do we start plotting a bar graph from a table?
  2. What should we write on the x-axis and y-axis?
  3. Why is spacing between bars important?
  4. How do we decide the height of each bar?
  5. Can you draw a bar graph for your classroom survey on favorite fruit?

Day 8: Reading Bar Graphs

  1. Which category has the maximum frequency?
  2. Which category has the minimum frequency?
  3. How many more students like football than cricket?
  4. What is the total number of students represented in the graph?
  5. Can you compare two categories and tell which one is more popular?

Day 9: Solving Problems from Data

  1. From this table, how many students like apples and oranges together?
  2. How do we find the difference between the highest and lowest values?
  3. If 3 more students join the class and like mangoes, how will the data change?
  4. Can you make a pictograph from this data?
  5. How do we check if the data in a graph is correct?

Day 10: Revision and Mini-Assessment

  1. Can you explain the difference between qualitative and quantitative data?
  2. How do tally marks help in collecting data?
  3. Can you draw a frequency table from the data you collected yesterday?
  4. Convert this table into a pictograph.
  5. Draw a bar graph for this data and answer: which category is the most popular?