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Everyday Mathematics: Data Handling and Presentation | Maths Olympiad Class 6 PDF Download

Q1. You ask 5 friends about their favorite fruit. If 3 say apple and 2 say banana, how many friends chose banana?
A) 1
B) 2
C) 3
D) 5

Ans: B) 2
Explanation: 2 friends chose banana, as given in the question.

Q2. A shopkeeper sells these many toys in 5 days: 10, 15, 12, 10, 13. How many toys were sold in total?
A) 60
B) 50
C) 55
D) 70

Ans: D) 70
Explanation: Add the toys sold each day: 10 + 15 + 12 + 10 + 13 = 70.

Q3. Which graph best shows how you spend your day on activities like studying, playing, and sleeping?
A) Bar graph
B) Pie chart
C) Line graph
D) Scatter plot

Ans: B) Pie chart
Explanation: Pie charts show parts of a whole, perfect for showing how a day is divided.

Q4. If you study 2 hours every day for 7 days, how many total hours do you study in the week?
A) 12
B) 14
C) 16
D) 10

Ans: B) 14
Explanation: Total hours = 2 hours × 7 days = 14 hours.

Q5. Over a week, you drink cups of water as: 5, 6, 5, 7, 6, 5, 6. Which number of cups did you drink most often?
A) 5
B) 6
C) 7
D) Both 5 and 6

Ans: D) Both 5 and 6
Explanation: Both 5 and 6 appear 3 times, so both are the most common amounts.

Q6. A fruit seller sold 25 apples on Monday, 30 on Tuesday, and 35 on Wednesday. What was the average number sold each day?
A) 30
B) 35
C) 25
D) 40

Ans: A) 30
Explanation: Average = (25 + 30 + 35) ÷ 3 = 90 ÷ 3 = 30 apples.

Q7. If the highest temperature in a week is 40°C and the lowest is 28°C, what is the difference between them?
A) 12°C
B) 68°C
C) 32°C
D) 40°C

Ans: A) 12°C
Explanation: Difference = 40 − 28 = 12°C.

Q8. To keep track of your monthly pocket money, which step should you do first?
A) Collect the data
B) Make a table
C) Draw a graph
D) All of these

Ans: A) Collect the data
Explanation: You need to collect data before organizing or drawing graphs.

The document Everyday Mathematics: Data Handling and Presentation | Maths Olympiad Class 6 is a part of the Class 6 Course Maths Olympiad Class 6.
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FAQs on Everyday Mathematics: Data Handling and Presentation - Maths Olympiad Class 6

1. What is data handling in mathematics?
Ans.Data handling in mathematics refers to the process of collecting, organizing, interpreting, and presenting data in a meaningful way. It involves various techniques such as sorting data, creating charts and graphs, and analyzing the data to draw conclusions or make decisions. This skill is essential for understanding trends and patterns in real-life situations.
2. Why is it important to present data visually?
Ans.Visual presentation of data is important because it makes complex information easier to understand and interpret. Charts, graphs, and diagrams can highlight key trends and comparisons that might not be clear in raw data formats. Visual aids help audiences quickly grasp the significance of the data, making it more accessible and engaging.
3. What are some common types of graphs used in data presentation?
Ans.Common types of graphs used in data presentation include bar graphs, line graphs, pie charts, and histograms. Bar graphs are useful for comparing quantities, line graphs show trends over time, pie charts represent parts of a whole, and histograms display the frequency distribution of numerical data. Each type serves a specific purpose and can enhance understanding of the data being presented.
4. How do you calculate the mean of a data set?
Ans.To calculate the mean of a data set, you add all the values together and then divide the sum by the total number of values. For example, if you have the data set {4, 6, 8, 10}, you would first sum the values (4 + 6 + 8 + 10 = 28) and then divide by the number of values (4). Therefore, the mean is 28 ÷ 4 = 7.
5. What is the difference between mean, median, and mode?
Ans.The mean is the average of a data set, calculated by adding all values and dividing by the number of values. The median is the middle value when the data set is arranged in ascending order; if there is an even number of values, the median is the average of the two middle numbers. The mode is the value that appears most frequently in the data set. Each of these measures provides different insights into the characteristics of the data.
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