Welcome to JNVMaths.com, your trusted resource for Mission Buniyaad Haryana Entrance Exam math preparation. In this blog post, we're diving into the crucial topic of Data Handling, offering comprehensive explanations and engaging quizzes to ensure you're well-prepared for the upcoming exam.
Data Handling: Unraveling the Essentials
Data Handling is a fundamental part of mathematical literacy. It empowers you to collect, organize, and interpret information, a skill that's invaluable not only in exams but also in everyday life. Here at JNVMaths.com, we recognize the significance of mastering this topic, and we're here to guide you through it.
Understanding Data Handling
Data Handling is all about making sense of data, whether it's presented in tables, graphs, or charts. This process involves various components:
Data Collection: Learn how to collect data from various sources, be it surveys, experiments, or observations.
Data Presentation: Explore different methods to present data effectively, including bar graphs, pie charts, line graphs, and more.
Data Interpretation: Develop the skills to extract meaningful insights from data, such as finding averages, medians, and modes.
Probability: Dive into the world of probability and understand how it's related to data handling.
Interactive Learning with Quizzes
To make your learning experience engaging and effective, we've designed interactive quizzes that cover all aspects of Data Handling:
Data Collection Quiz: Test your ability to collect data in various scenarios, from class surveys to real-world applications.
Data Presentation Quiz: Challenge yourself with questions related to creating and interpreting graphs and charts.
Data Interpretation Quiz: Put your analytical skills to the test by solving problems that require you to draw conclusions from data.
Probability Quiz: Explore the world of probability through a series of thought-provoking questions.
The JNVMaths Advantage
Why choose us for your Mission Buniyaad Haryana Entrance Exam Math preparation?
Comprehensive Content: Our blog provides concise yet comprehensive explanations of Data Handling concepts, ensuring you understand the fundamentals.
Practical Examples: We use real-life examples to make abstract concepts relatable and easy to grasp.
User-Friendly Interface: Our website is designed with a search function, making it easy to find specific topics and questions related to Data Handling.
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1. वर्ग अंतराल 30-40 की चौड़ाई या आकार है:
a) 10
b) 30
c) 40
d) 70
उत्तर: (a)
2. यदि एक सिक्के को हवा में उछाला जाए तो पूंछ आने की प्रायिकता क्या है?
a) 0
b) ½
c) 1
d) 2
उत्तर: (b)
3. एक बैग में 4 लाल गेंदें और 4 हरी गेंदें हैं, यादृच्छिक रूप से एक लाल गेंद निकलने की प्रायिकता क्या है?
a) 1/4
b) 1/8
c) 1/2
d) 0
उत्तर: (c)
4. यदि एक पासे को हवा में फेंका जाए, तो सम संख्याएँ प्राप्त होने की प्रायिकता है:
a) ½
b) ⅙
c) ⅓
d) ⅔
उत्तर: (b)
5. प्रतीकों का उपयोग करके डेटा का चित्रात्मक प्रतिनिधित्व कहा जाता है:
a) बारग्राफ
b) पिक्टोग्राफ
c) पाइचार्ट
d) इनमें से कोई नहीं
उत्तर: (b)
6. डबल बार ग्राफ़ डेटा के ____ सेट को एक साथ प्रदर्शित करते हैं।
a) चार
b) तीन
c) दो
d) नहीं
उत्तर: (c)
7. _______ एक विशेष प्रविष्टि होने की संख्या बताता है।
a) डेटा का संगठन
b) डेटा का संग्रह
c) डेटा का प्रतिनिधित्व
d) आवृत्ति वितरण तालिका
उत्तर: (d)
8. समूहीकृत डेटा में, प्रत्येक समूह को कहा जाता है:
A) वर्ग अंतराल
B) डेटा का संग्रह
C) आवृत्ति
D) समूहीकृत आवृत्ति वितरण
उत्तर: (A)
9. यदि समूहित डेटा का वर्ग अंतराल 20-30 है, तो निम्न वर्ग सीमा है:
A) 50
B) 30
C) 20
D) 10
उत्तर: (C)
10. किसी वर्ग अंतराल की ऊपरी वर्ग सीमा और निचली वर्ग सीमा के बीच के अंतर को कहा जाता है:
A) आवृत्ति
B) चौड़ाई
C) समूहीकृत डेटा
D) असमूहीकृत डेटा
उत्तर: (B)
1. The class interval has a width or size of 30-40:
a) 10
b) 30
c) 40
d) 70
Answer: (A)
2. If a coin is tossed in the air, what is the probability of getting tails?
A) 0
B) ½
c) 1
D) 2
Answer: (B)
3. There are 4 red balls and 4 green balls in a bag, what is the probability of drawing a red ball at random?
A) 1/4
B) 1/8
c) 1/2
D) 0
Answer: (c)
4. If a dice is thrown in the air, the probability of getting even numbers is:
a) ½
b)⅙
c) ⅓
d) ⅔
Answer: (B)
5. Graphical representation of data using symbols is called:
A) bargraph
B) pictograph
c) piechart
D) none of these
Answer: (B)
6. Double bar graphs display ____ sets of data together.
A) four
b) three
c) two
d) no
Answer: (c)
7. _______ indicates the number of times a particular entry occurs.
A) Organization of data
B) collection of data
c) representation of data
D) frequency distribution table
Answer: (D)
8. In grouped data, each group is called:
A) class interval
B) collection of data
c) frequency
D) grouped frequency distribution
Answer: (A)
9. If the class interval of the grouped data is 20-30, then the following class limits are:
A) 50
B) 30
C) 20
D) 10
Answer: (c)
10. The difference between the upper class limit and lower class limit of a class interval is called:
A) frequency
B) width
C) grouped data
D) ungrouped data
Answer: (B)
Your Success is Our Mission
At JNVMaths.com, we're committed to your success in the Mission Buniyaad Haryana Entrance Exam. Data Handling is just one piece of the puzzle, and we're here to help you put it in place. Remember, understanding this topic is not just about exams; it's a skill that can serve you well in various aspects of life.
Get started with our interactive quizzes and embark on your journey towards mastering Data Handling. Let's make math not just a subject you study but a tool you wield with confidence. Good luck with your exam preparations!
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