Page 75: Figure it Out
Q1. What would you do to find the most popular game among Naresh’s and Navya’s classmates? Ans: One of the effective ways is to arrange and organize the collected data into a table or frequency distribution table to clearly see the counts.
Q2. What is the most popular game in their class? Ans: Hockey. From the list provided in the text, Hockey appears 8 times (Frequency = 8).
Q4. Pari wants to respond to questions. Put a tick (✓) where she needs to collect data.
- a. What is the most popular TV show among her classmates? (✓) (Need to ask classmates)
- b. When did India get independence? (✕) (Fact, no collection needed)
- c. How much water is getting wasted in her locality? (✓) (Observation required)
- d. What is the capital of India? (✕) (Fact)
Page 76: Figure it Out
Q1. Complete the table to help Shri Nilesh purchase sweets.
Using the tally marks provided in the chapter:
- Jalebi:
|||||= 6 - Gulab Jamun:
||||||||= 9 - Gujiya:
|||||||||||= 13 - Barfi:
|||= 3 - Rasgulla:
||||||= 7
Answers:
- a. How many students chose jalebi? 6
- b. Barfi was chosen by 3 students.
- c. How many students chose gujiya? 13
- d. Rasgulla was chosen by 7 students.
- e. How many students chose gulab jamun? 9
Q2. Is the above table sufficient to distribute each type of sweet to the correct student? Ans: No. The table only gives the total number (frequency) of each sweet needed. It does not tell us which specific student asked for which sweet. Shri Nilesh knows he needs 6 Jalebis, but he doesn’t know who to give them to. Alternative: Maintain a list with Student Name corresponding to their Choice.
Page 77: Figure it Out (Shoe Sizes)
Q1. Help her to figure out the following: The ordered data is: 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 7.
- a. The largest shoe size in the class is 7.
- b. The smallest shoe size in the class is 3.
- c. There are 10 students who wear shoe size 5. (Count the 5s).
- d. There are 15 students who wear shoe sizes larger than 4. (Count sizes 5, 6, and 7: ).
Q2. How did arranging the data in ascending order help? Ans: It grouped identical values together, making it much faster to count frequencies and identify the minimum and maximum values without searching through a jumbled list.