π‘ TL;DR π― Quoting statistics in conversation is different from citing them in a report. This lesson teaches you how to introduce, contextualize, and transition from statistics NATURALLY in Korean β the way a fluent professional would β without sounding robotic or overly academic.
π Helper Note ποΈ In Korean professional and academic speaking, statistics must be introduced with clear source signals (μ΅κ·Ό μ°κ΅¬μ λ°λ₯΄λ©΄ / ν΅κ³μ μνλ©΄) and contextualized with hedging language (μ½ / λλ΅ / μ΄λ μ λ) when exact precision isn't available. The key skill is weaving numbers into natural speech without disrupting conversational flow. π
π Big Picture
In daily Korean conversation, academic seminars, and professional meetings, quoting statistics well requires three layers:
π£ Signal β tell the audience a statistic is coming
"μ΅κ·Ό μ°κ΅¬μ λ°λ₯΄λ©΄..." / "ν΅κ³μ² μλ£μ μνλ©΄..."
π’ State β give the number clearly, with appropriate hedging
"μ½ [X]%κ° / [X]λͺ μ€ [Y]λͺ κΌ΄λ‘..."
π Bridge β connect the number to your point
"μ΄λ κ³§ [implication]μ/λ₯Ό μλ―Έν©λλ€ / μ΄μ²λΌ [connection to argument]..."
Without the signal, statistics feel abrupt. Without the bridge, they feel orphaned. The signalβstatβbridge pipeline is what separates conversational fluency from data recitation.
π§© Core Concepts
Function π | Korean Expression π£οΈ | Used When β° |
Citing a source | μ΅κ·Ό μ°κ΅¬μ λ°λ₯΄λ©΄ / ν΅κ³μ² μλ£μ μνλ©΄ / [κΈ°κ΄λͺ
] λ³΄κ³ μμμ | Before any statistic |
Hedging imprecise numbers | μ½ / λλ΅ / μ΄λ μ λ / μ λ° κ°κΉμ΄ | When not 100% sure of exact figure |
Contextualizing the number | μ΄λ κ³§ / μ΄μ²λΌ / λ€μ λ§ν΄ / μ΄ μμΉκ° μλ―Ένλ κ²μ | After stating the statistic |
Expressing trend | μ¦κ°νκ³ μλ€ / κ°μ μΆμΈμ μλ€ / μ μ λμ΄λκ³ μλ€ | When describing change over time |
Comparing figures | ~μ λΉν΄ / ~λ³΄λ€ [X]λ°° λλ€ / μ΄μ λ°ν΄ | When contrasting statistics |
Precision Level π― | Expression π£οΈ |
Exact (confident) | μ νν [X]%λ₯Ό μ°¨μ§ν©λλ€ / [X]λͺ
μΌλ‘ μ§κ³λμμ΅λλ€ |
Approximate (hedged) | μ½ [X]%, λλ΅ μ λ°κ°λ, μ΄λ μ λμ λΉμ¨λ‘ |
Trend-based (directional) | κΎΈμ€ν μ¦κ°/κ°μνλ μΆμΈμ
λλ€ / λ§€λ
[X]%μ© λμ΄λκ³ μμ΅λλ€ |
Comparative | [A]μ λΉν΄ [B]κ° μ½ [X]λ°° λμ΅λλ€ / μ λ
λλΉ [X]% μμΉνμ΅λλ€ |
β Exam Strategy
π― In TOPIK Speaking tasks involving data, surveys, or research:
- Always use a source signal first β "μ΅κ·Ό μ°κ΅¬μ λ°λ₯΄λ©΄" or "μ‘°μ¬μ μνλ©΄" β never drop a number without introducing it
- Hedge when appropriate β "μ½ X%" sounds more natural and intellectually honest than an overly precise figure
- Bridge immediately β after the stat, always say "μ΄λ κ³§ ~μ/λ₯Ό μλ―Έν©λλ€" β connect the number to your argument
- Use trend language β "μ¦κ°νκ³ μλ€ / κ°μ μΆμΈμ μλ€" adds dynamic analysis, not just static reporting
- Compare with μ λ λλΉ or ~μ λΉν΄ β comparative stats are more persuasive than isolated ones
β οΈ Pitfalls
β Stat without signal: Dropping a number mid-sentence without "ν΅κ³μ λ°λ₯΄λ©΄" = sounds abrupt and hard to process
β Stat without bridge: Quoting a number and moving on without connecting it to your point = data orphan
π¬ Over-precision: "35.7823%μ
λλ€" in conversation sounds robotic β "μ½ 35%μ
λλ€" is more natural
β
The rule: Signal β Stat (with hedging if needed) β Bridge to your point. Every time.
π£οΈ Dialogue Patterns
Pattern 1 β Source Signal + Statistic + Bridge (Standard) π
ποΈ "μ΅κ·Ό 보건볡μ§λΆ λ°νμ λ°λ₯΄λ©΄, μ°λ¦¬λλΌ μ±μΈμ μ½ 30%κ° μλ©΄ λΆμ‘±μ κ²½ννκ³ μλ€κ³ ν©λλ€. μ΄λ κ³§ μ±μΈ μΈ λͺ μ€ ν λͺ κΌ΄λ‘ μλ©΄ λ¬Έμ λ₯Ό μκ³ μλ€λ μλ―ΈμΈλ°μ, μ΄ μμΉλ λ¨μν κ°μΈ λ¬Έμ κ° μλλΌ μ¬νμ μμ°μ±κ³Όλ μ§κ²°λλ€λ μ μμ μ€μν©λλ€."
Translation: "According to a recent announcement by the Ministry of Health and Welfare, approximately 30% of Korean adults experience sleep deprivation. This means roughly one in three adults carries a sleep problem β a figure important not just as a personal issue but as one directly connected to societal productivity."
Pattern 2 β Approximate + Conversational Hedge πΈ
ποΈ "μ νν μμΉλ μλμ§λ§, μ κ° μ½μ μλ£μ λ°λ₯΄λ©΄ μ²λ μΈ΅μ μ λ° κ°κΉμ΄κ° νμ¬ μ§μ μ λ§μ‘±νμ§ λͺ»νλ€λ κ²°κ³Όκ° μμμ΅λλ€. μ λ°μ΄λΌλ μμΉλ κ½€ 좩격μ μ΄μ£ . λ¬Όλ‘ μ‘°μ¬ μμ κ³Ό λμμ λ°λΌ λ€λ₯Ό μ μμ§λ§, μ λ°μ μΈ κ²½ν₯μ λΆλͺ ν κ² κ°μ΅λλ€."
Translation: "The figure isn't precise, but according to material I read, there were results showing close to half of young people are not satisfied with their current jobs. That 'half' figure is quite shocking. Of course it can vary depending on when and who was surveyed, but the overall trend seems clear."
Pattern 3 β Trend Analysis π
ποΈ "κ΄λ ¨ ν΅κ³λ₯Ό 보면, 1μΈ κ°κ΅¬ λΉμ¨μ΄ μ§λ 10λ κ° κΎΈμ€ν μ¦κ°νλ μΆμΈμ λλ€. νμ¬ μ 체 κ°κ΅¬μ μ½ 35%μ λ¬νκ³ μμΌλ©°, μ λ¬Έκ°λ€μ μ΄ λΉμ¨μ΄ μμΌλ‘ λ λμμ§ κ²μΌλ‘ μ λ§νκ³ μμ΅λλ€. μ΄ μμΉλ μλΉ ν¨ν΄, μ£Όκ±° νν, κ·Έλ¦¬κ³ μ¬ν μ μ± μ λ°μ κ±Έμ³ μ€μν μμ¬μ μ λμ Έ μ€λλ€."
Translation: "Looking at related statistics, the proportion of single-person households has been steadily increasing over the past decade. It currently reaches approximately 35% of all households, and experts forecast this proportion will rise further. This figure throws out important implications across consumption patterns, housing forms, and overall social policy."
Pattern 4 β Comparative Statistics π
ποΈ "ν₯λ―Έλ‘μ΄ κ²μ, νκ΅μ λ μμ¨μ΄ 10λ μ μ λΉν΄ μ½ 20% κ°μν λ°λ©΄, μ€λμ€λΆ μ΄μ©λ₯ μ κ°μ κΈ°κ° λμ μΈ λ°° μ΄μ μ¦κ°νλ€λ μ μ λλ€. μ΄μ²λΌ μ½κΈ°μ 'νν'λ λ³νκ³ μμ§λ§, μ½ν μΈ μ λν μμ μ체λ μ¬μ ν μ‘΄μ¬νλ€λ κ²μ μ μ μμ΅λλ€."
Translation: "What's interesting is that while Korea's reading rate has decreased by about 20% compared to ten years ago, audiobook usage has increased more than threefold over the same period. Thus, while the 'form' of reading is changing, we can see that the demand for content itself still exists."
π§ Nuance Bank
Goal π― | Best Expression π£οΈ | Why π‘ |
Introducing a source | μ΅κ·Ό μ°κ΅¬μ λ°λ₯΄λ©΄ / ν΅κ³μ² μλ£μ μνλ©΄ | Establishes credibility before the number |
Hedging imprecision | μ½ / λλ΅ / μ λ° κ°κΉμ΄ / μ΄λ μ λ | Natural honesty β avoids false precision |
Bridging stat to point | μ΄λ κ³§ ~μ/λ₯Ό μλ―Έν©λλ€ / μ΄μ²λΌ / μ΄ μμΉλ ~μ/λ₯Ό 보μ¬μ€λλ€ | Connects the number to the argument |
Describing trend | κΎΈμ€ν μ¦κ°/κ°μνλ μΆμΈμ
λλ€ / λ§€λ
~μ© λμ΄λκ³ μμ΅λλ€ | Adds dynamism β not just "X%" but "growing X%" |
Comparing | ~μ λΉν΄ / μ λ
λλΉ / μ΄μ λ°ν΄ / λ°λ©΄μ | Contrasts make statistics more meaningful |
π Try this exercise
Q1. π What are the THREE steps of quoting a statistic fluently in Korean conversation?
β State, conclude, repeat
β‘ Signal (source introduction) β Stat (with hedging) β Bridge (connect to point)
β’ Data, story, conclusion
β£ Introduction, body, summary
Answer
β‘ β Signal β Stat β Bridge. Every naturally quoted statistic in Korean conversation follows this pipeline. π’
Q2. π£ "μ΅κ·Ό μ°κ΅¬μ λ°λ₯΄λ©΄" β what does λ°λ₯΄λ©΄ grammatically mean?
β "Despite research"
β‘ "According to" β λ°λ₯΄λ©΄ = "following from" β used to attribute a statement to a source
β’ "Contrary to research"
β£ "Without research"
Answer
β‘ β λ°λ₯΄λ©΄ = "according to." μ΅κ·Ό μ°κ΅¬μ λ°λ₯΄λ©΄ = "according to recent research." Core source-signal phrase. β
Q3. πΈ Why is "μ½ 35%μ
λλ€" more natural than "35.0000%μ
λλ€" in conversation?
β μ½ is more formal
β‘ μ½ = "approximately" β conversational hedging that reflects realistic precision levels. Overly precise figures sound robotic in natural speech.
β’ μ½ is shorter
β£ Precise figures are wrong
Answer
β‘ β Natural speech uses approximate numbers. μ½ = "approximately." Conversational fluency means NOT sounding like you're reading a spreadsheet. π‘
Q4. π "μ΄λ κ³§ ~μ/λ₯Ό μλ―Έν©λλ€" β what function does this serve after a statistic?
β It introduces a new topic
β‘ It bridges the statistic to its meaning/implication β "this means [X]" β connects the number to the argument
β’ It ends the data section
β£ It contradicts the statistic
Answer
β‘ β "This means [X]" = the bridge. Without this, statistics are orphaned from your argument. The bridge is essential. π
Q5. π "κΎΈμ€ν μ¦κ°νλ μΆμΈμ
λλ€" β what does μΆμΈ mean?
β An exact number
β‘ A trend / tendency β "it is in an increasing trend" β describes directional change over time, not just a static snapshot
β’ A comparison
β£ A past event
Answer
β‘ β μΆμΈ = trend. μ¦κ°νλ μΆμΈ = increasing trend. Trend language makes your statistics analysis rather than just data reporting. π
Q6. π¬ "μ λ
λλΉ [X]% μμΉνμ΅λλ€" β what comparison frame does this use?
β Comparison to the industry average
β‘ Year-on-year comparison β "compared to the previous year, [X]% increase" β μ λ
λλΉ = relative to last year
β’ Comparison to the global average
β£ Comparison to an ideal target
Answer
β‘ β μ λ
λλΉ = "compared to the previous year." Year-on-year is the most common comparative statistical frame in Korean business and media. β
Q7. π¬ What is the "data orphan" problem?
β Quoting too many statistics
β‘ Citing a statistic without connecting it to your argument β the number exists in the speech without meaning for the audience
β’ Using imprecise numbers
β£ Not citing the source
Answer
β‘ β A "data orphan" = a statistic that lives in your speech without a bridge to your argument. Fix it with "μ΄λ κ³§ ~μ/λ₯Ό μλ―Έν©λλ€." β
Q8. π’ "μ±μΈ μΈ λͺ
μ€ ν λͺ
κΌ΄λ‘" β what technique is this?
β A data source citation
β‘ Scale translation β converting "33%" into "one in three adults" β a more visceral, human-scale framing of the same number
β’ A trend description
β£ A comparison
Answer
β‘ β Scale translation: 33% β "one in three." Human-scale framing makes abstract percentages immediately graspable. π‘
Q9. π "λ¬Όλ‘ μ‘°μ¬ μμ κ³Ό λμμ λ°λΌ λ€λ₯Ό μ μμ§λ§" β what does this phrase add to a statistic?
β It invalidates the statistic
β‘ Intellectual honesty β acknowledging that the figure may vary based on survey context shows critical thinking, not blind citation
β’ It introduces a new source
β£ It ends the discussion
Answer
β‘ β "Of course this may differ depending on when and who was surveyed" = honest contextualization. Shows you understand data limitations. π
Q10. π In a TOPIK Speaking task about a social issue, you want to quote research. Which is the BEST opening?
β "μ«μκ° μμ΅λλ€."
β‘ "μ΅κ·Ό [κ΄λ ¨ κΈ°κ΄]μ μ‘°μ¬μ λ°λ₯΄λ©΄, μ½ [X]%κ° [Y] μν©μ μλ€κ³ ν©λλ€. μ΄λ κ³§..."
β’ "λ°μ΄ν°λ₯Ό λλ¦¬κ² μ΅λλ€."
β£ "μ ννμ§ μμ§λ§..."
Answer
β‘ β Source signal + approximate figure + bridge opener. Complete, fluid, professional. π
π οΈ Speaking Formula
π£ Source signal:
μ΅κ·Ό [κΈ°κ΄λͺ /μ‘°μ¬λͺ ]μ λ°λ₯΄λ©΄ / μ μνλ©΄ / μμ λ°νν μλ£μ λ°λ₯΄λ©΄
"According to recent [source]..."
π’ Statistic with hedging:
μ½ [X]%κ° / λλ΅ [X]λͺ μ€ [Y]λͺ κΌ΄λ‘ / [X] μ λμ λΉμ¨λ‘
"Approximately X%... / Roughly Y in X people..."
π Bridge to point:
μ΄λ κ³§ [implication]μ/λ₯Ό μλ―Έν©λλ€ / μ΄ μμΉλ [X]μ/λ₯Ό 보μ¬μ€λλ€ / μ΄μ²λΌ [connection]
"This means [implication] / This figure shows [X] / Thus [connection]"
π Trend language:
[X]μ/λ κΎΈμ€ν μ¦κ°/κ°μνλ μΆμΈμ λλ€ / λ§€λ μ½ [X]%μ© [μ¦κ°/κ°μ]νκ³ μμ΅λλ€
"[X] is steadily in an increasing/decreasing trend..."
π Comparative frame:
[A]μ λΉν΄ [B]κ° μ½ [X]λ°° λμ΅λλ€ / [A]μ λ¬λ¦¬ [B]λ / μ λ λλΉ [X]% μμΉ/νλ½νμ΅λλ€
"Compared to [A], [B] is approximately [X] times higher..."
π Remember
π£ Always signal before the number β "μ΅κ·Ό μ°κ΅¬μ λ°λ₯΄λ©΄" β never drop statistics without attribution
π’ Hedge naturally β "μ½ / λλ΅ / μ λ° κ°κΉμ΄" β imprecision acknowledged = intellectual honesty
π Bridge every stat β "μ΄λ κ³§ ~μ/λ₯Ό μλ―Έν©λλ€" β no data orphans
π Use trend language β "μ¦κ°νλ μΆμΈ / κ°μ μΆμΈ" β analysis, not just reporting
π Compare for impact β "~μ λΉν΄ / μ λ
λλΉ / λ°λ©΄μ" β contrasts make statistics meaningful
π‘ Scale translate β "μΈ λͺ
μ€ ν λͺ
κΌ΄" = more visceral than "33.3%"
π― Practice Hub
Q1. π£ What is the purpose of "μ΅κ·Ό μ°κ΅¬μ λ°λ₯΄λ©΄" before a statistic?
β It's grammatically required
β‘ It signals the source β establishing credibility before the number so the audience knows where the data comes from
β’ It introduces a story
β£ It ends the data section
Answer
β‘ β Source signal = credibility before the number. Without it, statistics feel unverified. π
Q2. πΈ "μ½ 30%" β why is μ½ essential here?
β μ½ changes the meaning
β‘ μ½ = "approximately" β signals you're giving a real-world, human-precision number rather than a false-precision exact figure
β’ μ½ is required grammar
β£ 30% without μ½ is wrong
Answer
β‘ β μ½ = "approximately." Natural speech uses approximate precision. It's more honest and more fluent. β
Q3. π Which phrase BEST bridges a statistic to its implication?
β "λ€μ μ£Όμ λ‘ λμ΄κ°κ² μ΅λλ€."
β‘ "μ΄λ κ³§ [implication]μ/λ₯Ό μλ―Έν©λλ€."
β’ "ν΅κ³λ₯Ό λλ Έμ΅λλ€."
β£ "λ°μ΄ν°λ 볡μ‘ν©λλ€."
Answer
β‘ β "This means [implication]" β the bridge phrase that connects numbers to meaning. β
Q4. π "κΎΈμ€ν μ¦κ°νλ μΆμΈ" β what does κΎΈμ€ν add?
β It introduces a new trend
β‘ κΎΈμ€ν = "steadily / consistently" β emphasizes the ONGOING, PERSISTENT nature of the trend, not a one-time increase
β’ It means "rapidly"
β£ It hedges the trend
Answer
β‘ β κΎΈμ€ν = steadily. Not a sudden spike, but a consistent, sustained increase over time. Important nuance. π
Q5. π "μ λ
λλΉ 20% μμΉ" β what does λλΉ mean?
β "Approximately"
β‘ "Compared to" β μ λ
λλΉ = "compared to the previous year" β the standard year-on-year comparison frame
β’ "According to"
β£ "As a result of"
Answer
β‘ β λλΉ = "compared to / relative to." μ λ
λλΉ = year-on-year comparison. Essential comparative statistics language. β
Q6. π¬ "μ λ° κ°κΉμ΄" β what does this express?
β Exactly 50%
β‘ Close to half β μ λ° = half, κ°κΉμ΄ = close to β a natural approximate expression for figures around 45-50%
β’ More than half
β£ Less than a quarter
Answer
β‘ β μ λ° κ°κΉμ΄ = "close to half" β 45-50%. Natural hedging language for approximately 50%. πΈ
Q7. π "μ΄ μμΉλ λ¨μν κ°μΈ λ¬Έμ κ° μλλΌ μ¬νμ μμ°μ±κ³Όλ μ§κ²°λλ€λ μ μμ μ€μν©λλ€." β What is this sentence doing?
β Introducing a new statistic
β‘ Bridging the statistic to a broader social significance β connecting the number to a larger argument about societal implications
β’ Hedging the number
β£ Ending the data section
Answer
β‘ β The bridge connects sleep deprivation statistics to societal productivity. This is the "why does this stat matter?" layer. π‘
Q8. π¬ A speaker says: "35%μ
λλ€. λ€μ μ£Όμ λ‘..." β what mistake did they make?
β They used the wrong percentage
β‘ They committed the "data orphan" error β citing the statistic without bridging it to any argument or implication
β’ They didn't use μ½
β£ They forgot the source signal
Answer
β‘ β No bridge = data orphan. The number exists but serves no argumentative purpose. Always follow with "μ΄λ κ³§ ~μ/λ₯Ό μλ―Έν©λλ€." β
Q9. π’ "μΈ λͺ
μ€ ν λͺ
κΌ΄" converts approximately what percentage?
β 10%
β‘ 25%
β’ 33%
β£ 50%
Answer
β’ β μΈ λͺ
μ€ ν λͺ
= 1 in 3 = approximately 33%. Scale translation at work. β
Q10. π "μ΄μ²λΌ μ½κΈ°μ 'νν'λ λ³νκ³ μμ§λ§, μ½ν
μΈ μ λν μμ μ체λ μ¬μ ν μ‘΄μ¬νλ€λ κ²μ μ μ μμ΅λλ€." β What type of analysis is this?
β Data summary
β‘ Comparative analysis using contrasting statistics to draw a nuanced conclusion β reading down, audiobooks up = reading form changes but content demand remains
β’ A new statistic
β£ A source citation
Answer
β‘ β Comparative bridge: two opposing trend statistics β nuanced conclusion. This is advanced analytical speaking. π
Q11. π£ Complete: "μ΅κ·Ό __ λ°λ₯΄λ©΄, νκ΅ μ±μΈμ μ½ 30%κ° λ§μ± μ€νΈλ μ€λ₯Ό κ²½ννκ³ μμ΅λλ€."
β "μ΄μ"
β‘ "μ‘°μ¬μ"
β’ "μ¬λλ€μ΄"
β£ "μ΄μΌκΈ°μ"
Answer
β‘ β "μ΅κ·Ό μ‘°μ¬μ λ°λ₯΄λ©΄" = "According to recent surveys." μ‘°μ¬ = survey/research. β
Q12. π "μ΄ μμΉκ° μλ―Ένλ κ²μ" β what follows this phrase?
β Another statistic
β‘ The implication or significance of the statistic β the bridge that connects the number to the argument
β’ A source citation
β£ An apology for imprecision
Answer
β‘ β "What this figure means is [X]" β bridge phrase. Always connects the data to your point. β
Q13. π Which of these is a TREND statement (not just a static statistic)?
β "1μΈ κ°κ΅¬κ° 35%μ
λλ€."
β‘ "1μΈ κ°κ΅¬ λΉμ¨μ΄ μ§λ 10λ
κ° κΎΈμ€ν μ¦κ°νλ μΆμΈμ
λλ€."
β’ "1μΈ κ°κ΅¬λ λ§μ΅λλ€."
β£ "1μΈ κ°κ΅¬ μ‘°μ¬κ° μμ΅λλ€."
Answer
β‘ β κΎΈμ€ν μ¦κ°νλ μΆμΈ = steadily increasing trend. This is dynamic analysis, not just a static snapshot. π
Q14. π "λ¬Όλ‘ μ‘°μ¬ μμ κ³Ό λμμ λ°λΌ λ€λ₯Ό μ μμ§λ§" β why add this when citing a statistic?
β To invalidate your argument
β‘ To show intellectual honesty β acknowledging that survey results vary by methodology, timing, and sample; shows you're critically engaging with the data
β’ To introduce a new source
β£ To fill time
Answer
β‘ β Critical engagement with data = intellectual sophistication. Real data literacy includes awareness of limitations. π‘
Q15. π "~μ λΉν΄ / μ΄μ λ°ν΄" β what do both these phrases do?
β Introduce sources
β‘ Create comparative contrast β "[A] compared to [B]" and "in contrast to this" β essential for comparative statistical analysis
β’ Hedge numbers
β£ Bridge statistics to arguments
Answer
β‘ β Both = comparison signals. ~μ λΉν΄ = "compared to X" / μ΄μ λ°ν΄ = "in contrast / on the other hand." Key comparative tools. π
Q16. π― A TOPIK task asks you to discuss the rise of remote work using data. Which signal phrase is MOST appropriate?
β "μΈν°λ·μμ λ΄€λλ°μ..."
β‘ "μ΅κ·Ό κ³ μ©λ
ΈλλΆ μλ£μ λ°λ₯΄λ©΄, μ¬ν근무 λΉμ¨μ΄ 2019λ
λλΉ μ½ μΈ λ°° μ¦κ°νλ€κ³ ν©λλ€."
β’ "μλ§λ ν΅κ³κ° μμ κ²λλ€."
β£ "λ°μ΄ν°λ₯Ό λλ¦¬κ² μ΅λλ€."
Answer
β‘ β Official source + trend comparison (2019 λλΉ) + hedging (μ½) + implication setup. Model TOPIK response. π
Q17. π What does μ§κ³λλ€ mean in "Xλͺ
μΌλ‘ μ§κ³λμμ΅λλ€"?
β It was estimated
β‘ It was officially tallied/counted β used for official census or count results; more precise than estimates
β’ It was reported informally
β£ It was compared
Answer
β‘ β μ§κ³λλ€ = to be officially tallied/counted. Used for precise official figures. Sounds more authoritative than μΆμ (estimate). β
Q18. πΈ "μ λ°μ μΈ κ²½ν₯μ λΆλͺ
ν κ² κ°μ΅λλ€" β when do you use this?
β After citing an exact figure
β‘ After acknowledging data variation β "the overall tendency seems clear" β a confident conclusion despite acknowledged methodological variability
β’ To introduce a new topic
β£ To end the speech
Answer
β‘ β "The overall trend seems clear" = confident conclusion despite admitted variation. Shows you can draw direction from imperfect data. β
Q19. π¬ "λ§€λ
μ½ [X]%μ© λμ΄λκ³ μμ΅λλ€" β what makes μ© important here?
β μ© makes it past tense
β‘ μ© = "each / per" β "growing by approximately X% EACH year" β the per-unit marker that specifies the rate of change
β’ μ© hedges the number
β£ μ© introduces a comparison
Answer
β‘ β μ© = "each / per unit." "Increasing by X% each year" = annual rate specification. Essential for rate-of-change statistics. β
Q20. π "μ΄μ²λΌ" at the start of a bridge sentence means:
β "However"
β‘ "Like this / thus / in this way" β a transition that signals you're drawing a conclusion from the evidence just presented
β’ "According to"
β£ "Despite this"
Answer
β‘ β μ΄μ²λΌ = "thus / in this way / like this." Used to bridge from data to conclusion or implication. π
Q21. π You want to describe a decreasing trend. Which is correct?
β "κ°μνλ μΆμΈμ μμ΅λλ€."
β‘ "μ¬λΌκ°λ μΆμΈμ μμ΅λλ€."
β’ "λ³νκ° μμ΅λλ€."
β£ "μ¦κ°νλ μΆμΈμ
λλ€."
Answer
β β κ°μνλ μΆμΈμ μμ΅λλ€ = "is in a decreasing trend." κ°μ = decrease. μΆμΈ = trend. β
Q22. π’ "~[X]λ°° λλ€" β what does this express?
β X percentage points higher
β‘ X TIMES higher β a multiplicative comparison (e.g., μΈ λ°° λλ€ = three times as high)
β’ X% higher
β£ X units higher
Answer
β‘ β λ°° = "times" (multiplicative). μΈ λ°° λλ€ = "three times as high." Not +3% but Γ3. Important precision. β
Q23. π In the audio book trend example: "λ
μμ¨μ΄ 20% κ°μν λ°λ©΄, μ€λμ€λΆ μ΄μ©λ₯ μ μΈ λ°° μ¦κ°" β what does λ°λ©΄ signal?
β Agreement
β‘ Contrast β "whereas / while" β λ°λ©΄ = "on the other hand." Creates the key contrast in comparative statistics
β’ Cause
β£ Time sequence
Answer
β‘ β λ°λ©΄ = "whereas / on the other hand." The contrast connector between two opposing trends. β
Q24. π "~μ λ¬νλ€" in "μ 체 κ°κ΅¬μ μ½ 35%μ λ¬νκ³ μμΌλ©°" means:
β Falling to
β‘ Reaching / amounting to β λ¬νλ€ = "to reach / to amount to" β used when a figure reaches a notable level
β’ Declining to
β£ Starting from
Answer
β‘ β λ¬νλ€ = "to reach." "Reaching approximately 35% of all households" β used when describing figures that have grown to reach a level. β
Q25. π "μ λ¬Έκ°λ€μ μ΄ λΉμ¨μ΄ μμΌλ‘ λ λμμ§ κ²μΌλ‘ μ λ§νκ³ μμ΅λλ€" β what does μ λ§νλ€ mean?
β To look back at
β‘ To forecast / to project β μ λ§ = outlook/prospect/forecast β used for expert forward-looking analysis
β’ To calculate
β£ To measure
Answer
β‘ β μ λ§νλ€ = "to forecast / to project." Used for expert predictions. "Experts forecast it will rise further." β
Q26. π¬ A friend asks about smartphone addiction trends in Korea. Which response demonstrates the most fluent data citation?
β "λ§μ μ¬λλ€μ΄ μ€λ§νΈν°μ μλλ€."
β‘ "μ΅κ·Ό κ³ΌνκΈ°μ μ 보ν΅μ λΆ μλ£μ λ°λ₯΄λ©΄, μ€λ§νΈν° μΌνκ· μ¬μ© μκ°μ΄ 5λ
μ λλΉ μ½ 40% μ¦κ°νλ€κ³ ν©λλ€. μ΄λ κ³§ λ§μ μ¬λλ€μ΄ μ΄μ λ³΄λ€ ν¨μ¬ λ λ§μ μκ°μ μ€λ§νΈν°μ μλΉνκ³ μλ€λ κ²μ μλ―Ένμ£ ."
β’ "λ°μ΄ν°κ° μμ΅λλ€."
β£ "μ°κ΅¬ κ²°κ³Όκ° λ³΅μ‘ν©λλ€."
Answer
β‘ β Source signal + comparative stat (5λ
μ λλΉ) + hedging (μ½) + bridge (μ΄λ κ³§). Complete fluent citation. π
Q27. π "μμ¬μ μ λμ Έ μ£Όλ€" β what does this expression mean?
β To present data
β‘ To throw out implications β idiomatic: the data "throws out" or "raises" significant implications β used to signal the stat carries broader meaning
β’ To introduce a question
β£ To compare statistics
Answer
β‘ β μμ¬μ μ λμ§λ€ = "to raise/throw out implications." Idiomatic bridge expression meaning "this data has important implications for [X]." π‘
Q28. πΈ What is the purpose of μ΄λ μ λ in statistics?
β It means "approximately"
β‘ It means "to some degree / somewhat" β used for vague proportional approximations when exact figures are unavailable; softer than μ½
β’ It introduces a trend
β£ It concludes a statistic
Answer
β‘ β μ΄λ μ λ = "to some degree / somewhat." Even vaguer than μ½. Used when you really don't have a precise figure. πΈ
Q29. π Complete: "νκ΅μ λ
μμ¨μ΄ κ°μν __, μ€λμ€λΆ μ΄μ©λ₯ μ μ¦κ°νμ΅λλ€."
β "λλΆμ"
β‘ "λ°λ©΄μ"
β’ "λλ¬Έμ"
β£ "κ·Έλμ"
Answer
β‘ β λ°λ©΄μ = "whereas / on the other hand." Perfect contrast connector for opposing trends. β
Q30. π― Final: You want to quote a statistic about Korean work hours. Put these in the correct order:
A. "μ΄λ OECD νκ· λ³΄λ€ μ½ 300μκ° λ§μ μμΉλ‘, νκ΅μ μ₯μκ° λ Έλ λ¬Ένλ₯Ό λ¨μ μΌλ‘ 보μ¬μ€λλ€."
B. "μ½ 1,900μκ°μ λ¬ν©λλ€."
C. "μ΅κ·Ό OECD μ‘°μ¬μ λ°λ₯΄λ©΄, νκ΅μ μ°νκ· κ·Όλ‘ μκ°μ΄"
β B β C β A
β‘ C β B β A
β’ A β B β C
β£ C β A β B
Answer
β‘ β C (source signal) β B (statistic) β A (bridge to comparative implication). Signal β Stat β Bridge. π
Q31. π Why does "μ νν μμΉλ μλμ§λ§" make your citation MORE credible, not less?
β It weakens the argument
β‘ Acknowledging imprecision signals honesty and critical awareness β audiences trust speakers who admit limitations more than those who claim false certainty
β’ It's required formal language
β£ It introduces a new source
Answer
β‘ β "Not an exact figure, but..." = intellectual honesty. Paradoxically increases trust. Audiences distrust speakers who claim everything is precisely known. π‘
Q32. π "ν΅κ³μ² μλ£μ μνλ©΄" β what is ν΅κ³μ²?
β A newspaper
β‘ Statistics Korea β the national statistics agency, one of the most credible sources for Korean data citations
β’ A university
β£ A research company
Answer
β‘ β ν΅κ³μ² = Statistics Korea (the national statistical office). Citing ν΅κ³μ² = citing the most authoritative Korean data source. π
Q33. π "μλΉ ν¨ν΄, μ£Όκ±° νν, κ·Έλ¦¬κ³ μ¬ν μ μ±
μ λ°μ κ±Έμ³ μ€μν μμ¬μ μ λμ Έ μ€λλ€" β what does μ λ°μ κ±Έμ³ mean?
β "Across / spanning" β μ λ°μ κ±Έμ³ = "across the entirety of / spanning across" β used to describe broad reach of implications
β‘ "Limited to"
β’ "Compared to"
β£ "According to"
Answer
β β μ λ°μ κ±Έμ³ = "across / spanning." "Across consumption patterns, housing forms, and social policy overall." Signals the statistic has WIDE implications. π‘
Q34. ποΈ A panel discussion asks about climate statistics. Which opening is BEST?
β "μ§κ΅¬ μ¨λν λ¬Έμ μ
λλ€."
β‘ "μ΅κ·Ό UN νκ²½λ³΄κ³ μμ λ°λ₯΄λ©΄, μ§λ 10λ
κ° μ μΈκ³ νκ· κΈ°μ¨μ΄ μ°μ
ν μ΄μ λλΉ μ½ 1.1λ μμΉνλ€κ³ ν©λλ€. μ΄ μμΉλ..."
β’ "λ°μ΄ν°κ° μμ΅λλ€."
β£ "μ ννλ λͺ¨λ₯΄κ² μ§λ§..."
Answer
β‘ β UN source + comparative frame (μ°μ
ν μ΄μ λλΉ) + hedging (μ½) + bridge opener. Complete, professional, fluent. π
Q35. π’ "μ λ°κ°λ" vs "μ λ°μ΄μ" β what is the difference?
β They mean the same
β‘ μ λ°κ°λ = "about half" (β50%); μ λ°μ΄μ = "more than half" (>50%) β κ°λ = "approximately" vs. μ΄μ = "or more / exceeding"
β’ κ°λ is more formal
β£ μ΄μ is past tense
Answer
β‘ β κ°λ = approximately; μ΄μ = or more/exceeding. Critical precision difference. μ λ°κ°λ β 50%; μ λ°μ΄μ > 50%. β
Q36. π¬ After citing a statistic, how do you explain why it matters?
β Move to the next topic immediately
β‘ "μ΄ μμΉλ [X] μΈ‘λ©΄μμ μ€μν μλ―Έλ₯Ό κ°μ§λλ€ / μ΄λ κ³§ [implication]μ/λ₯Ό μλ―Έν©λλ€"
β’ Repeat the statistic
β£ Cite another statistic
Answer
β‘ β The "why it matters" bridge: "This figure has important meaning in terms of [X]" or "This means [implication]." Always required. β
Q37. π "μ¦κ°μΈλ₯Ό 보μ΄κ³ μλ€" vs "μ¦κ°νλ μΆμΈμ μλ€" β are these different?
β Yes, μ¦κ°μΈ is past tense
β‘ They are essentially equivalent expressions for "showing an increasing trend" β both acceptable in professional speech
β’ μΆμΈ is more formal
β£ μ¦κ°μΈ means it peaked
Answer
β‘ β μ¦κ°μΈλ₯Ό 보μ΄λ€ and μ¦κ°νλ μΆμΈμ μλ€ both mean "showing an increasing trend." Interchangeable in professional contexts. β
Q38. πΈ When comparing two statistics, which connector creates the STRONGEST contrast?
β κ·Έλ¦¬κ³ (and)
β‘ μ΄μ λ°ν΄ (in contrast / on the other hand) β explicitly frames the second stat as OPPOSITE in direction to the first
β’ λν (also)
β£ νΉν (especially)
Answer
β‘ β μ΄μ λ°ν΄ = "in contrast / on the other hand." Strongest contrast signal. Perfect for opposing trend statistics. π
Q39. π‘ "μ€λμ€λΆ μ΄μ©λ₯ μ κ°μ κΈ°κ° λμ μΈ λ°° μ΄μ μ¦κ°νλ€" β what does κ°μ κΈ°κ° λμ ensure?
β The comparison is hedged
β‘ The comparison is VALID β "during the same period" ensures you're comparing both statistics over identical time spans; apples-to-apples comparison
β’ The statistic is approximate
β£ The source is credible
Answer
β‘ β κ°μ κΈ°κ° λμ = "during the same period." Essential fairness qualifier in comparative statistics β prevents comparing different time frames. β
Q40. π Final challenge: evaluate this complete statistic citation:
"μ΅κ·Ό νκ²½λΆ μ‘°μ¬μ λ°λ₯΄λ©΄, νκ΅μ 1μΈλΉ νλΌμ€ν± μ¬μ©λμ΄ μ°κ° μ½ 88kgμ λ¬νλ€κ³ ν©λλ€. μ΄λ OECD νκ· μ μ½ λ λ°°μ ν΄λΉνλ μμΉλ‘, μ°λ¦¬λλΌμ νλΌμ€ν± κ³ΌμλΉ λ¬Έμ κ° μΌλ§λ μ¬κ°νμ§λ₯Ό λ¨μ μΌλ‘ 보μ¬μ£Όλ κ²μ΄λΌ ν μ μμ΅λλ€."
What makes this citation complete?
β It's very long
β‘ Source signal (νκ²½λΆ μ‘°μ¬μ λ°λ₯΄λ©΄) + hedged stat (μ½ 88kg) + comparative frame (OECD νκ· μ μ½ λ λ°°) + bridge to implication (λ¬Έμ κ° μΌλ§λ μ¬κ°νμ§λ₯Ό 보μ¬μ€λ€). Complete.
β’ It uses many statistics
β£ It uses formal vocabulary
Answer
β‘ β All four elements: source β hedged stat β comparative context β bridge to significance. Gold standard fluent statistics citation. π
Q41. π "μ΄λ μ λμ λΉμ¨λ‘" is MOST appropriate when:
β You know the exact figure
β‘ You genuinely don't have a precise number and need a very vague proportional reference
β’ Describing a historical trend
β£ Citing an official source
Answer
β‘ β μ΄λ μ λ = "to some degree" β used when no precise figure is available. Honest vagueness > false precision. πΈ
Q42. π "λ¨μ μΌλ‘ 보μ¬μ£Όλ€" β what does this mean?
β To show indirectly
β‘ To show clearly and directly β λ¨μ μΌλ‘ = "clearly / pointedly / in a straightforward manner" β used when a statistic strikingly illustrates a point
β’ To show historically
β£ To show approximately
Answer
β‘ β λ¨μ μΌλ‘ 보μ¬μ£Όλ€ = "clearly/strikingly shows." A strong bridge phrase that signals the statistic powerfully illustrates your argument. π‘
Q43. π¬ What does "λ³΄κ³ μμμ λ°νν μλ£μ λ°λ₯΄λ©΄" add compared to just "μ λ°λ₯΄λ©΄"?
β It's longer
β‘ It specifies that the source is from a published report/document β more formal and credible, appropriate for academic or professional presentations
β’ It hedges the number
β£ It introduces a comparison
Answer
β‘ β λ°νν μλ£ = "published data/material." Specifying the publication type adds another layer of credibility to the source signal. β
Q44. π "λ§€λ
5%μ© κ°μνκ³ μμ΅λλ€" β the μ© signals:
β An approximate figure
β‘ A RATE β "5% per/each year" β μ© marks the amount of change PER unit of time; specifies it's an annual rate
β’ A comparison
β£ An endpoint
Answer
β‘ β μ© = "each / per." 5%μ© = "5% per unit (here: per year)." Rate-of-change specification. β
Q45. π In "μ΄μ²λΌ μ½κΈ°μ ννλ λ³νκ³ μμ§λ§, μμ μ체λ μ¬μ ν μ‘΄μ¬νλ€" β what type of conclusion is this?
β A simple summary
β‘ A nuanced analytical conclusion that draws an insight from OPPOSING data points β not "reading is down" but "reading form changes while underlying demand persists"
β’ A prediction
β£ A new argument
Answer
β‘ β This is analytical sophistication: taking two opposing trends and finding the nuanced insight that lies between them. The highest-level use of comparative statistics. π
Q46. π "μ΄ μμΉλ₯Ό ν΅ν΄ μ μ μλ κ²μ" β what does ν΅ν΄ do here?
β It hedges the number
β‘ ν΅ν΄ = "through / via" β "what we can know THROUGH this figure is" β frames the statistic as a window into a deeper truth
β’ It introduces the source
β£ It creates a comparison
Answer
β‘ β ν΅ν΄ = "through." "What we can know THROUGH this figure" β the statistic as a lens, not just a fact. π‘
Q47. πΈ Which is the MOST natural way to quote an uncertain statistic conversationally?
β "μ νν X%μ
λλ€."
β‘ "μ κ° μ½μ μλ£μμλ μ½ X% μ λλΌκ³ νλλ°, μ ννμ§ μμ μ μμ΅λλ€."
β’ "X%κ° λ μλ μκ³ μλ μλ μμ΅λλ€."
β£ "λ°μ΄ν°κ° μμ΅λλ€."
Answer
β‘ β "About X% in what I read, though it may not be exact." Honest, hedged, fluent. Sounds like a real person, not a robot. π
Q48. π "~λ°° λλ€" vs "~% λλ€" β what's the key difference?
β They mean the same
β‘ λ°° = multiplicative (3λ°° = 3 times as high = 300%); % = additive (30% = 30 percentage points higher). Different scales of comparison.
β’ λ°° is more formal
β£ % is more accurate
Answer
β‘ β λ°° = multiplicative factor. % = additive amount. μΈ λ°° λλ€ = 3Γ as high; 30% λλ€ = 30 percentage points higher. Critical precision difference. β
Q49. π― Complete: "μ λ¬Έκ°λ€μ μ΄ λΉμ¨μ΄ μμΌλ‘ λ λμμ§ κ²μΌλ‘ __."
β "μκ°ν©λλ€"
β‘ "μ λ§νκ³ μμ΅λλ€"
β’ "μκ³ μμ΅λλ€"
β£ "λ§νμ΅λλ€"
Answer
β‘ β μ λ§νλ€ = "to forecast / to project." Expert-forward projection language. μ λ¬Έκ°λ€μ μ λ§νλ€ = "experts forecast/project." β
Q50. π A TOPIK examiner will be MOST impressed by which response when you discuss a statistic?
β Just the number
β‘ Source signal + hedged precise number + scale translation + comparative context + bridge to implication + honest limitation acknowledgment
β’ A long list of numbers
β£ Precise numbers without sources
Answer
β‘ β The full pipeline: source β number β translation β comparison β bridge β honest limitation. This demonstrates advanced analytical language proficiency. π