Information Theory The Big Idea IELTS Reading Answers : IELTS Reading Practice Test

International English Language Testing System ( IELTS )

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Avleen Kaur
Updated on Nov 6, 2025 18:37 IST

By Avleen Kaur, Sr. Executive Training

"Information theory the big idea" passage talks about revolutionary work of Claude Shannon. This passage is good for practising IELTS reading questions, including multiple choice and matching headings. For more information on how to register for the IELTS Exam, latest guidelines and the IELTS Exam Date- check out IELTS exam details on Shiksha.com.

Information Theory - The Big Idea Reading Answers

Candidates can check all the solutions for the IELTS Reading Practice Test, and the passage named "Information Theory - The Big Idea".

Question Number Answer
1 D
2 F
3 B
4 E
5 A
6 C
7 JUPITER AND SATURN (IN EITHER ORDER; BOTH REQUIRED)
8 SOLAR SYSTEM
9 SENSORS AND CIRCUITS (IN EITHER ORDER; BOTH REQUIRED)
10 SPARES
11 RADIO DISH
12 TRUE
13 TRUE
14 FALSE

 

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Information theory- The Big Idea Passage

"Information theory- the big idea" passage is inspired from Cambridge Book 9 Test 3. You should spend only about 20 minutes on Questions 1 to 14. If you want to practice passage 1 and 2- you can attempt Attitudes to language and Tidal Power respectively. 

Information theory- The Big Idea

Information theory lies at the heart of everything - from DVD players and the genetic code of DNA to the physics of the universe at its most fundamental. It has been central to the development of the  science of  communication, which enables data to be sent electronically and has therefore had a major impact on our lives

  1. In April 2002 an event took place which demonstrated one of the many applications of information theory. The space probe, Voyager I, launched in 1977, had sent back spectacular images of Jupiter and Saturn and then soared out of the Solar System on a one-way mission to the stars. After 25 years of exposure to the freezing temperatures of deep space, the probe was beginning to show its age. Sensors and circuits were on the brink of failing and NASA experts realised that they had to do something or lose contact with their probe forever. The solution was to get a message to Voyager I to instruct it to use spares to change the failing parts. With the probe 12 billion kilometres from Earth, this was not an easy task. By means of a radio dish belonging to NASA’s Deep Space Network, the message was sent out into the depths of space. Even travelling at the speed of light, it took over 11 hours to reach its target, far beyond the orbit of Pluto. Yet, incredibly, the little probe managed to hear the faint call from its home planet, and successfully made the switchover.
  2. It was the longest-distance repair job in history, and a triumph for the NASA engineers. But it also highlighted the astonishing power of the techniques developed by American communications engineer Claude Shannon, who had died just a year earlier. Born in 1916 in Petoskey, Michigan, Shannon showed an early talent for maths and for building gadgets, and made breakthroughs in the foundations of computer technology when still a student. While at Bell Laboratories, Shannon developed information theory, but shunned the resulting acclaim. In the 1940s, he single-handedly created an entire science of communication which has since inveigled its way into a host of applications, from DVDs to satellite communications to bar codes - any area, in short, where data has to be conveyed rapidly yet accurately.
  3. This all seems light years away from the down-to-earth uses Shannon originally had for his work, which began when he was a 22-year-old graduate engineering student at the prestigious Massachusetts Institute of Technology in 1939. He set out with an apparently simple aim: to pin down the precise meaning of the concept of ‘information’. The most basic form of information, Shannon argued, is whether something is true or false - which can be captured in the binary unit, or ‘bit’, of the form 1 or 0. Having identified this fundamental unit, Shannon set about defining otherwise vague ideas about information and how to transmit it from place to place. In the process he discovered something surprising: it is always possible to guarantee information will get through random interference - ‘noise’ - intact.
  4. Noise usually means unwanted sounds which interfere with genuine information. Information theory generalises this idea via theorems that capture the effects of noise with mathematical precision. In particular, Shannon showed that noise sets a limit on the rate at which information can pass along  communication channels while remaining error-free. This rate depends on the relative strengths of the signal and noise travelling down the communication channel, and on its capacity (its ‘bandwidth’). The resulting limit, given in units of bits per second, is the absolute maximum rate of error-free communication given signal strength and noise level. The trick, Shannon showed, is to find ways of packaging up - ‘coding’ - information to cope with the ravages of noise, while staying within the information-carrying capacity - ‘bandwidth’ - of the communication system being used.
  5. Over the years scientists have devised many such coding methods, and they have proved crucial in many technological feats. The Voyager spacecraft transmitted data using codes which added one extra bit for every single bit of information; the result was an error rate of just one bit in 10,000 - and stunningly clear pictures of the planets. Other codes have become part of everyday life - such as the Universal Product Code, or bar code, which uses a simple error-detecting system that ensures supermarket check-out lasers can read the price even on, say, a crumpled bag of crisps. As recently as 1993, engineers made a major breakthrough by discovering so-called turbo codes - which come very close to Shannon’s ultimate limit for the maximum rate that data can be transmitted reliably, and now play a key role in the mobile videophone revolution.
  6. Shannon also laid the foundations of more efficient ways of storing information, by stripping out superfluous (‘redundant’) bits from data which contributed little real information. As mobile phone text messages like ‘I CN C U’ show, it is often possible to leave out a lot of data without losing much meaning. As with error correction, however, there’s a limit beyond which messages become too ambiguous. Shannon showed how to calculate this limit, opening the way to the design of compression methods that cram maximum information into the minimum space.

Information theory- The Big Idea Reading Answers - IELTS Free Mock Test

Information theory- The Big Idea Answers

Candidates can check the Information Theory- The Big Idea Reading Answers IELTS from below. 

Questions 1-6

The reading passage has six paragraphs: A – F

Choose the correct heading for each paragraph from the list of headings below

Write the correct numbers, i –x in boxes 1-6 on your answer sheet. 

NB There are more headings than paragraphs so you will not use them all. 

  List of headings 

i. Long-distance Repair Achievement
ii. The Pioneer of Information Theory
iii. Compressing Data for Efficient Storage
iv. Repairing Voyager I Using Information Theory
v. Overcoming the Challenges of Communication Interference
vi. Birth of the Concept of Information Theory
vii. Practical Applications of Error-free Communication
viii. Coding to Combat Noise in Communication
ix. A Revolutionary Impact on Technology
x. How Noise Limits Communication

1. Paragraph A

Answer: iv
Explanation: This paragraph describes the repair of Voyager I using a message transmitted through space, highlighting a real-world application of communication technology.

2. Paragraph B

Answer: ii
Explanation: This section introduces Claude Shannon and his creation of information theory, along with its broad applications.

3. Paragraph C

Answer: vi
Explanation: This paragraph explains how Shannon started his work on information theory by defining "information" in terms of binary units (bits).

4. Paragraph D

Answer: x
Explanation: This section focuses on Shannon's work on noise and its impact on communication rates, presenting the idea of noise limits in communication.

5. Paragraph E

Answer: vii
Explanation: Here, the text explores applications of coding in different fields, including the Voyager spacecraft and bar codes, to ensure information reaches its destination accurately.

6. Paragraph F

Answer: iii
Explanation: This paragraph highlights Shannon's work on data compression, discussing ways to store information efficiently by removing redundancy.

Information theory- The Big Idea IELTS Reading Practice Questions

Questions 7-14

Choose the correct letter (A, B, C, or D) from the given options.

7. What was the primary purpose of the Voyager I space probe's mission, as mentioned in the passage?

A To collect and transmit data about Jupiter and Saturn

B To reach the outer edges of the Solar System and continue on to the star

C To test the limits of long-distance communication with a spacecraft

D To demonstrate the applications of information theory developed by Claude Shannon

8. Based on the passage, which of the following best describes Claude Shannon's approach to the acclaim and recognition for his work?

A He actively sought public attention and praise for his groundbreaking contributions.

B He was indifferent to the accolades and preferred to focus on his research.

C He was uncomfortable with the attention and deliberately avoided the spotlight.

D He used the recognition to secure funding and resources for further work.

9. The passage states that Shannon's information theory "generalises the idea of noise" through mathematical theorems. What is the key insight these theorems provide about the effect of noise on communication?

A Noise can be completely eliminated from communication channels.

B Noise sets a fundamental limit on the rate of error-free data transmission.

C Noise can be minimized by increasing the bandwidth of the communication channel.

D Noise can be overcome by using more complex encoding and decoding algorithms.

10.  How does the passage characterize the impact and significance of Shannon's work on information theory?

A It had a narrow, specialized impact confined to the field of telecommunications.

B It led to the development of a few specific technologies like barcodes and mobile phones.

C It created an entire new scientific field with widespread practical applications.

D It provided the mathematical foundations for advances in computer technology.

11. According to the passage, what was the key insight that allowed Shannon to make his breakthrough contributions to information theory?

A His ability to model information as binary 'bits' of 0 and 1.

B His recognition that noise sets limits on communication channels.

C His development of techniques to compress data without losing meaning.

D All of the above.

12. The passage suggests that Shannon's work on information theory was significant because it:

A Solved a specific engineering problem faced by the Voyager I space probe.

B Enabled the development of error-correcting codes used in many technologies.

C Provided the mathematical framework for the emergence of computer science.

D Both B and C are correct.

13. What was the specific "apparently simple aim" that motivated Shannon's initial work on information theory, as described in the passage?

A To define the precise meaning of the concept of 'information'

B To develop methods for storing and compressing data efficiently

C To create an entire new science of communication and data transmission

D To solve practical engineering problems faced by telecommunications companies

14. According to the passage, which feature allows barcodes to function reliably at supermarket checkouts?

A A redundant coding system that prevents errors

B A high-powered laser reading mechanism

C An error-detecting system that reads damaged codes

D A compression method that reduces data size

Answers for Questions 7-14

7. Answer: B
Answer Location: Paragraph A, Lines 2-3
Explanation: The passage mentions that Voyager I "launched in 1977," sending back images of Jupiter and Saturn before leaving the Solar System “on a one-way mission to the stars." This points to its mission beyond our Solar System.

8. Answer:
Answer Location: Paragraph B, Line 5
Explanation: This line describes that Shannon "shunned the resulting acclaim,” suggesting he did not seek recognition and preferred to avoid public attention.

9. Answer: B
Answer Location: Paragraph D, Line 3
Explanation: The paragraph states, "noise sets a limit on the rate at which information can pass along communication channels while remaining error-free.” This emphasizes the fundamental role noise plays in limiting data transmission rates.

10. Answer:C
Answer Location: Paragraph B, Lines 6-7
Explanation: The passage notes Shannon “single-handedly created an entire science of communication," influencing areas like DVDs, satellite communications, and bar codes, highlighting its broad impact.

11. Answer: D
Answer Location: Paragraph C, Lines 1-3
Explanation: Shannon's fundamental insights are outlined here, including defining information in binary terms, recognizing limits set by noise, and developing data compression techniques.

12. Answer: C
Answer Location: Paragraph E, Lines 2-5
Explanation: The passage discusses error-correcting codes for data clarity in Voyager’s images and then mentions barcodes in everyday life, showing Shannon’s work’s reach in error-correction and technological advances.

13. Answer: A
Answer Location: Paragraph C, Line 2
Explanation: This line states Shannon's goal was “to pin down the precise meaning of the concept of ‘information’,” directly aligning with the answer.

14. Answer: C
Answer Location: Paragraph E, Lines 4-5
Explanation: The passage describes barcodes as having “a simple error-detecting system that ensures supermarket check-out lasers can read the price even on... a crumpled bag of crisps,” indicating option (c) as correct.

Information Theory - The Big Idea Reading Answers Tips

Tip Details
1. Skim the Passage for Structure Before Reading the Questions - Skim the passage quickly to get an overview of its structure.
- Identify how different sections introduce, explain, and provide examples of information theory.
2. Strengthen Your Vocabulary and Recognize Synonyms - Focus on vocabulary related to communication, data transmission, coding, noise, and technology.
- Recognize synonyms and antonyms in the passage and questions (e.g., "error-free" = accurate, "ravages" = damage, "superfluous" = unnecessary).
3. Use Prefixes and Suffixes to Understand Technical Terms - Identify prefixes and suffixes to grasp complex words (e.g., in- (not) in "intact," trans- (across) in "transmit," -ion (process) in "communication").
- This helps in understanding scientific and technological terms.
4. Matching Headings: Identify the Main Idea of Each Paragraph - Skim the first and last one or two sentences of each paragraph to identify its core idea.
- Scan for repeated keywords or themes that summarize the paragraph’s main focus.
- Watch for synonyms in headings and paragraphs (e.g., "the concept of information" = defining information, "communication technology advancements" = impact of information theory).
5. Scan for Names, Dates, and Key Terms - Scan for proper nouns (Claude Shannon, NASA, Voyager I, Bell Laboratories), dates (e.g., 2002, 1977), and technical terms (bits, coding, bandwidth).
- These are useful for locating answers quickly in detailed questions like MCQs.
6. Multiple Choice Questions (MCQs): Read the Question First, Then Scan the Passage - Read the MCQ carefully and underline key terms in the question.
- Scan the passage for where the topic is discussed and eliminate incorrect options based on synonyms and meaning, not just keyword matching.
- If two choices seem correct, identify the subtle difference—one might be too extreme or slightly incorrect.
7. Look for Cause-and-Effect Relationships - Identify phrases that indicate cause and effect (e.g., "because," "as a result," "therefore," "due to") to understand how information theory impacts communication.
8. Pay Attention to Contrasting Ideas - Look for contrast words like "however," "but," "although," "on the other hand" to understand opposing viewpoints or limitations.
9. Don’t Get Distracted by Examples - Examples (e.g., Voyager I, bar codes, turbo codes) illustrate key ideas but are not the main points.
- Focus on why the example is given, not just its details.
10. Combine Skimming and Scanning to Maximize Efficiency - Skim at the start to understand paragraph flow, then scan when answering specific questions.
- This will help in locating answers quickly and saving time during the test.
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