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    CLASS 7 • MATHEMATICS • PART-II • CHAPTER 5

    Connecting the Dots…

    Learn how numbers, graphs and statistics can reveal patterns, comparisons and stories hidden inside data.

    In this chapter, you will learn how to collect, organise, describe, visualise and interpret data using the arithmetic mean, equal-share fairness, median positional values, dot plots, clustered double-bar graphs, and critical data reasoning.

    Data Balance Visualizer
    Instant Statistics
    Count (n)6
    Sum (Σx)108
    Mean (x̄)18.00
    Min4
    Max42
    Range38
    💡 Mean = 108 ÷ 6 = 18.00. The arithmetic mean acts as the central balance point of the data!

    By the End of This Chapter, You Will Be Able To:

    Identify statistical questions anticipating real-world variability
    Distinguish statistical statements from ordinary personal questions
    Calculate the arithmetic mean as the total sum divided by number of values
    Explain the mean as an equal-share or fair-share balance point
    Compare groups meaningfully using representative values rather than totals
    Find the minimum, maximum, total, and range of datasets
    Read, construct, and interpret dot plots along numerical axes
    Understand data variability, clusters, gaps, and spread
    Calculate the median for both odd-sized and even-sized collections
    Identify potential outliers and explain how they distort the mean while leaving the median robust
    Distinguish an actual recorded value of zero from missing data ('—')
    Read and construct clustered column graphs (double-bar graphs)
    Choose appropriate graph scales and understand truncated axes
    Apply the 2-step graph method: Step 1 (Identify Given) → Step 2 (Infer Conclusions)
    Extract insights from real-world datasets (space rockets, daylight hours, sports)
    Distinguish between observations and unjustified over-generalizations
    Evaluate claims against national height growth trends from ages 5 to 19
    Solve the concluding 3-digit Mastermind number-lock puzzle
    Section 5.1

    5.1 Of Questions and Statements

    Everyday Statistical Thinking, Definitions & The 7-Question Classifier

    The Two Friends: An Intuitive Introduction to Statistical Thinking

    Your teacher tells you that they are meeting two childhood friends this evening: one is 5 feet tall and the other is 6 feet tall. What would you guess regarding their genders?

    You might guess the 5-foot person is a woman and the 6-foot person is a man. Could you be wrong? Yes! But experience with population data tells us that 5-foot-tall men and 6-foot-tall women are relatively rare. On average, adult men are taller than adult women.

    📌 Key Takeaway: Statistical thinking relies on patterns, distributions, and likelihoods observed across large populations, rather than guessing blindly!

    Everyday Statistical Statements (Textbook Page 97)

    “Jemimah’s batting has been very consistent over the past year. We can expect a century from her tomorrow.”

    Prediction from consistency

    “I take about 15 minutes to cycle from school to home.”

    Estimated typical time

    “I think my pen might last for 2 more weeks; it is time to get a new one soon.”

    Prediction based on past usage

    “The population of their village has reduced by about 100 in the last decade.”

    Numerical change over time

    “Since I started eating fruits and vegetables more frequently, I can run 2 km more each day.”

    Comparative lifestyle correlation

    “David spends about 7 hours daily in the school.”

    Average daily schedule

    Interactive Lab: Statistical Question or Not? (Textbook Page 98)

    7 Textbook Questions

    A Statistical Question is one that can be answered by collecting and analysing data where you expect the answers to vary across observations. Test each question below:

    What is the price of a tennis ball in India?
    How old are the dogs that live on this street?
    What fraction of the students in your class like walking up a hill?
    Do you like reading?
    Approximately how many bricks are in this wall?
    Who was the best bowler in the match yesterday?
    What was the rainfall pattern in Barmer last year?

    The Data Pipeline: From Question to Statistical Statement

    Section 5.2

    5.2 Representative Values

    Mean, Fair-Share, Dot Plots, Onion Prices, Range, Outliers, Median & Zero vs No Value

    Shubman vs Yashasvi: Series 1 (Textbook Page 98)

    4 Matches Played
    PlayerMatch 1Match 2Match 3Match 4TotalMeanRange
    Shubman017219012832.090
    Yashasvi6755183517543.7549
    Compare Using:

    By Mean: Yashasvi's average is 43.75 runs, while Shubman's is 32 runs. Yashasvi had higher overall run generation per innings.

    Series 2: Why Totals Alone Can Mislead (Textbook Page 99)

    In another series, the scores were:

    PlayerMatch 1Match 2Match 3Match 4Match 5TotalMatchesMean
    Shubman23071052181105110 ÷ 5 = 22.0
    Yashasvi265302— (did not play)1596496 ÷ 4 = 24.0
    Crucial Statistical Insight:

    Vaishnavi says Shubman batted better because 110 > 96. But Shreyas notes that Yashasvi only played 4 matches! Yashasvi's average was 24 runs per match compared to Shubman's 22 runs per match. When group sizes differ, totals alone cannot be used to compare performance.

    Interactive Arithmetic Mean Calculator Lab

    Type any list of numbers to compute their sum, count, and arithmetic mean:

    Formula: Mean = Sum of all values ÷ Number of values
    Sum = 5 + 12 + 19 + 8 + 26 = 70
    Number of values (n) = 5
    Arithmetic Mean = 70 ÷ 5 = 14.00

    Mean as Fair-Share: The Guava Collection (Textbook Page 100)

    Shreyas's Group (5 Friends)Total = 30 Guavas
    3
    F1
    8
    F2
    10
    F3
    5
    F4
    4
    F5
    Piles: 3, 8, 10, 5, 4 (Unequal)
    Parag's Group (6 Friends)Total = 30 Guavas
    5
    F1
    4
    F2
    6
    F3
    3
    F4
    4
    F5
    8
    F6
    Piles: 5, 4, 6, 3, 4, 8 (Unequal)

    Math History: Ancient Indian Perspectives on the Arithmetic Mean

    In ancient Indian mathematical treatises, the arithmetic mean was perceived as an “equalising” or “common” representative measure:

    samarajju
    Mean measure of a line segment
    Brahmagupta (628 CE)

    Geometric line averaging where multiple segment lengths are leveled to an equal standard line.

    samīkaraṇa
    Levelling or equalising
    Mahāvīrācārya (850 CE)

    Ganita Sara Samgraha — viewing the mean as leveling unequal piles of grains or wealth into equal shares.

    sāmya
    Equality, impartiality, equability towards
    Śrīpati (1039 CE)

    Siddhanta Sekhara — representing balanced equilibrium among divergent measures.

    samamiti
    Mean measure ('sama' = equal + 'miti' = measurement)
    Bhāskarācārya & Gaṇeṣa (1150 CE & 1545 CE)

    Lilavati and Buddhivilasini — formalizing the arithmetic mean as the representative common measure.

    Know Your Onions! Monthly Prices in Yahapur & Wahapur

    Textbook pages 102–104: 12 months of price data in ₹ per kg

    TownJanFebMarAprMayJunJulAugSepOctNovDec
    Yahapur (₹)252426283035394349565944
    Wahapur (₹)191723303835423953605242

    Outliers & Medians: How Extreme Values Skew the Mean

    Poovizhi's family members are 170, 173, 165, 118, and 175 cm tall. The youngest child (118 cm) is an outlier. Observe what happens to the mean versus the median:

    With Outlier 118 cm (5 Members)
    Data: [170, 173, 165, 118, 175]
    Sorted: [118, 165, 170, 173, 175]
    Arithmetic Mean = 160.20 cm
    Median = 170 cm
    Why Median is Outlier-Resistant:

    With the 118 cm child included, the mean drops drastically to 160.2 cm (less than 4 out of 5 members!). But the median remains 170 cm.

    Removing the outlier shifts the mean by over 10.5 cm (to 170.75 cm), while the median only nudges from 170 cm to 171.5 cm!

    Interactive Median Sorter Lab

    Type numbers to see them automatically sorted, with the middle position and median rule highlighted:

    Raw input: [15, 3, 27, 8, 12, 19, 6]
    Sorted:36812151927
    Odd count (7 values): Median is single middle value = 12

    Zero vs. No Value (Textbook Page 111)

    Suppose a batsman scores: 57, 13, 0, 84, —, 51, 27 in a tournament.

    Score of 0 (Match 3)

    The player batted in the match and scored zero runs. It is an actual, valid recorded observation that must be included in the total match count.

    Dash “—” (Match 5)

    The player was absent or did not bat. There is no recorded measurement. Do NOT treat it as 0! The total matches played is 6, not 7.

    Correct Average: (57 + 13 + 0 + 84 + 51 + 27) ÷ 6 = 232 ÷ 6 = 38.67 runs/match ✓
    Section 5.3

    5.3 Visualising Data

    Clustered Column Graphs, Graph Scale, 2-Step Reading Method, Space Rockets & Seasonal Daylight

    Clustered Column Graph: Yahapur vs Wahapur Onion Prices (Page 115)

    Two bars placed side by side for each month to allow immediate visual comparison

    Scale: 1 unit = ₹10
    0102030405060JanFebMarAprMayJunJulAugSepOctNovDec
    Yahapur (Blue Bars)
    Wahapur (Red Bars)
    💡 Accessibility Note (Textbook Page 115): In textbook printing, dots and slanted lines are used inside adjacent bars so readers with color vision differences or black-and-white printouts can distinguish them without confusion.

    The 2-Step Graph Investigation Method (Textbook Page 116)

    Step 1: Identify What is Given
    • Check the title and what phenomenon is represented
    • Check horizontal & vertical axes, categories, and units
    • Identify the scale (e.g. 1 unit length = 20 rockets)
    • Observe visual trends, clusters, and peaks
    Step 2: Infer From What is Given
    • Analyse rate of change, maximums, and minimums
    • Check which comparisons are mathematically justified
    • Identify which claims cannot be concluded from the chart
    • Formulate new questions for deeper inquiry

    Worldwide Rocket Launches 2021–2023 (Textbook Pages 116–118)

    Scale: 1 unit length = 20 rockets. Test textbook data reasoning statements:

    10 Organisations
    OrganisationCountry202120222023Trend
    SpaceXUSA316196Consistently Increasing
    CASCChina485447Fluctuating
    RoscosmosRussia252219Fluctuating
    ArianespaceFrance/Europe1563Fluctuating
    Rocket LabUSA/NZ6910Consistently Increasing
    United Launch AllianceUSA583Fluctuating
    ISROIndia257Consistently Increasing
    Galactic EnergyChina257Consistently Increasing
    ExpaceChina456Consistently Increasing
    Other OrganisationsVarious181225Fluctuating
    Validate Claims from Textbook Page 118:

    (a) All organisations launched more rockets than the previous years.

    (b) Only an organisation from the USA launched more than 50 rockets in a single year.

    (c) The total number of rockets launched by France (Arianespace) in all 3 years is less than 40.

    (d) The average number of rockets launched by CASC in these 3 years is around 40.

    Summer and Winter at the Same Time: Daylight Hours

    Helsinki (Finland, Northern Hemisphere) vs Wellington (New Zealand, Southern Hemisphere)

    Opposite Hemispheres
    Month: Jun (30 Days)Daily Sunshine Hours
    Helsinki (City 1)
    18.8 hours / day
    Monthly total: 564 hours
    Wellington (City 2)
    9.2 hours / day
    Monthly total: 276 hours

    In June, Helsinki enjoys peak summer with ~18.8 hrs/day of daylight (3/4 of the 24h day!), while Wellington experiences midwinter with only 9.2 hrs/day!

    Section 5.4

    5.4 Data Detective

    Telling Tall Tales, India 1989–2019 Height Survey, Claim Validation & Skyscraper Estimations

    India Nationwide Height Survey (Ages 5 to 19: 1989–2019)

    Explore how average heights of boys and girls changed over 30 years

    Year:
    AgeBoys (2019)Girls (2019)Difference (Boys − Girls)
    5 years107.1 cm107.2 cm-0.1 cm (Girls taller)
    6 years113.1 cm112.9 cm0.2 cm
    7 years118.6 cm118 cm0.6 cm
    8 years123.5 cm122.7 cm0.8 cm
    9 years128.1 cm127.6 cm0.5 cm
    10 years132.6 cm132.8 cm-0.2 cm (Girls taller)
    11 years137 cm138.6 cm-1.6 cm (Girls taller)
    12 years142.2 cm143.8 cm-1.6 cm (Girls taller)
    13 years148.4 cm147.7 cm0.7 cm
    14 years154.4 cm150.4 cm4.0 cm
    15 years159 cm152.4 cm6.6 cm
    16 years162.3 cm153.8 cm8.5 cm
    17 years164.6 cm154.7 cm9.9 cm
    18 years166 cm155.2 cm10.8 cm
    19 years166.5 cm155.2 cm11.3 cm
    🔍 Growth Spurt Observation: Notice ages 11 and 12! In 2019, 11-year-old girls averaged 138.6 cm vs. boys at 137.0 cm. Girls experience their adolescent growth spurt earlier, temporarily surpassing boys in average height.

    Data Detective: Validate the Claims (Textbook Page 127)

    6 Statistical Claims

    Read each statement carefully. Determine whether it is Supported by the data table, Not Supported, or Cannot Be Determined from this dataset alone:

    The average heights of both boys and girls at every age increased from 1989 to 2019.

    The average height of 13-year-old girls in 1989 is more than the average height of 14-year-old girls in 2009.

    The average height of 15-year-old boys in 2019 is more than the average height of 16-year-old boys in 1989.

    All girls aged 13 are taller than all girls aged 11.

    Throughout the age period 5 to 19, the average boy's height is more than the average girl's height.

    Boys keep growing even beyond age 19.

    Puzzle Time • Textbook Page 135

    Connect the Dots… 3-Digit Number Lock

    A number lock has a secret 3-digit code. Use the textbook hints to deduce the exact digits:

    2
    6
    5

    One digit is correct and well placed.

    2
    7
    1

    One digit is correct but wrongly placed.

    5
    4
    2

    Two digits are correct but wrongly placed.

    0
    3
    6

    Nothing is correct.

    0
    6
    4

    One digit is correct but wrongly placed.

    Dial the 3-Digit Combination:
    0
    0
    0

    Practice Zone (40 Graded Questions)

    Progress through Foundation, Application, Challenge, and Master tiers

    FoundationSection 5.1
    Q1

    Which of the following is a statistical question?

    FoundationSection 5.2
    Q2

    Calculate the arithmetic mean of 4, 8, 12, 16, and 20.

    FoundationSection 5.2
    Q3

    What is the Range of the dataset: 14, 28, 9, 35, 21, 44, 18?

    FoundationSection 5.2
    Q4

    Find the median of the odd-sized dataset: 7, 3, 11, 2, 9, 15, 6.

    FoundationSection 5.2
    Q5

    Find the median of the even-sized dataset: 12, 5, 8, 19, 15, 10.

    FoundationSection 5.2
    Q6

    A cricketer played 4 matches with scores: 45, 0, 55, 60. What is his batting average?

    FoundationSection 5.2
    Q7

    If a player's scores across 5 scheduled matches are 30, 40, —, 50, 60, by what number should the total be divided to find the average?

    FoundationSection 5.3
    Q8

    In a clustered bar graph with scale 1 unit length = 5 hours, a bar of length 3.5 units represents how many hours?

    FoundationSection 5.2
    Q9

    What ancient Indian term for arithmetic mean was used by Mahāvīrācārya in 850 CE?

    FoundationSection 5.2
    Q10

    In the guava fair-share activity, Shreyas and 4 friends collected 30 guavas. How many guavas does each get when shared equally?

    ApplicationSection 5.2
    Q11

    In Poovizhi's family, heights are 118, 165, 170, 173, and 175 cm. What happens to the mean if the 118 cm outlier is removed?

    ApplicationSection 5.2
    Q12

    In a class of 15 students, the median number of books read is 6. What does this tell us?

    ApplicationSection 5.2
    Q13

    In the onion price data, Yahapur has min 24 and max 59 (range 35). Wahapur has min 17 and max 60 (range 43). Which statement is correct?

    ApplicationSection 5.2
    Q14

    The daily water usage from a tap over 9 days is: 5.6, 8, 3.09, 12.9, 6.5, 12.1, 11.3, 20.5, 7.4 litres. Can the mean daily usage be 26 litres?

    ApplicationSection 5.3
    Q15

    Why do Helsinki (City 1) and Wellington (City 2) have opposite seasonal daylight graphs?

    ApplicationSection 5.2
    Q16

    A cricket team scores 407/10 in 50 overs with 19 extras. What is the average runs scored per player?

    ApplicationSection 5.3
    Q17

    What does a dot plot LOSE compared to the raw monthly table of onion prices?

    ApplicationSection 5.4
    Q18

    In the India height survey table, at ages 11 and 12 in 2019, girls' average height was greater than boys'. What does this indicate?

    ApplicationSection 5.4
    Q19

    A sports teacher has 17 students with distinct heights. How can she divide them into two equal groups of 8 students each (one taller, one shorter)?

    ApplicationSection 5.3
    Q20

    In the 2021–2023 rocket launch data, which organisation launched more rockets year on year consistently?

    ChallengeSection 5.2
    Q21

    The average weight of 5 sumo wrestlers is 240.38 kg. The average weight of 6 ballet dancers is 42.42 kg. Approximately how many times heavier is a sumo wrestler compared to a ballet dancer?

    ChallengeSection 5.4
    Q22

    A newspaper headline claims: 'Average family height in School B is 156 cm, so every student in School B is taller than in School A (average 142 cm).' Why is this conclusion invalid?

    ChallengeSection 5.4
    Q23

    Why does the country height comparison graph start its vertical axis at 145 cm instead of 0 cm?

    ChallengeSection 5.2
    Q24

    In a dataset of 7 values, the mean is 18. If a new number 26 is added, what is the new mean of the 8 values?

    ChallengeSection 5.2
    Q25

    If the mean of 5 numbers is 20, and each number is multiplied by 3 and then increased by 5, what is the new mean?

    ChallengeSection 5.4
    Q26

    Based on the 3-digit number lock puzzle in Section 5.4, what is the unique secret code?

    ChallengeSection 5.2
    Q27

    When dataset A has values [10, 20, 30, 40, 50] and dataset B has values [28, 29, 30, 31, 32], both have mean = 30. How do they differ?

    ChallengeSection 5.4
    Q28

    In the skyscraper graph, Hong Kong has 553 skyscrapers taller than 150m. Does this prove that the world's tallest building is in Hong Kong?

    ChallengeSection 5.3
    Q29

    In a 20-over cricket match graph, Team Blue scores 14 runs in Over 12 with a circle on top of the bar. What does the circle signify?

    ChallengeSection 5.4
    Q30

    Between which two successive ages in 2019 did Indian boys experience the greatest single-year average height gain?

    MasterSection 5.2
    Q31

    In an exam, 9 students scored an average of 72. When a 10th student's score was added, the average increased to 74. What did the 10th student score?

    MasterSection 5.2
    Q32

    Five numbers have a median of 15 and a unique mode of 12. If the mean is 16, and all numbers are positive integers, what is the maximum possible value of the largest number?

    MasterSection 5.2
    Q33

    Under what specific condition is the mean of a dataset strictly equal to its median?

    MasterSection 5.3
    Q34

    A company recorded quarterly profit increases over 4 years. When drawing a clustered bar graph, why is the chronological order of quarters preserved while the order of rocket organizations was not?

    MasterSection 5.4
    Q35

    In Aditi's Sudoku solving times, Week 1 times were: [410, 400, 370, 340, 360, 400, 320, 330, 310] (Mean ≈ 360 s). Week 2 times were: [320, 290, 380, 280, 270, 230, 220, 240] (Mean = 276.25 s). What statistical conclusion is justified?

    MasterSection 5.2
    Q36

    If a dataset has an extreme high outlier (e.g. CEO salary in a company), which representative value gives a fairer picture of a typical employee's earnings?

    MasterSection 5.4
    Q37

    In the India height survey, between 1989 and 2019, 19-year-old boys increased from 163.5 cm to 166.5 cm (+3.0 cm), while 19-year-old girls increased from 151.9 cm to 155.2 cm (+3.3 cm). What is the difference between boys' and girls' mean height in 2019?

    MasterSection 5.3
    Q38

    If the scale on a clustered bar graph is 1 unit length = 25,000 electric vehicles, how many units of height represent 81,000 registered vehicles in Delhi?

    MasterSection 5.4
    Q39

    A group of 6 numbers has mean = 10. If one number is removed, the mean becomes 9. What was the value of the removed number?

    MasterSection 5.2
    Q40

    In a 100m race training session, Nikhil's times were [17, 18, 17, 16, 19, 17, 18] and Sunil's times were [20, 18, 18, 17, 16, 16, 17]. Who was quicker on average?

    Final Chapter Assessment (20 Questions)

    Evaluate your mastery across statistical questions, mean, median, outliers, dot plots, and graphs

    Q1. What distinguishes a statistical question from a non-statistical question?
    Q2. What is the Arithmetic Mean of the dataset: 6, 2, 9, 5, 4, 6, 3, 5?
    Q3. How is the Median determined for a dataset with an EVEN number of values?
    Q4. In statistics, what is an Outlier?
    Q5. How does a severe high outlier affect the mean and median?
    Q6. In a cricket scorecard, what is the crucial difference between a score of '0' and a score of '—'?
    Q7. What is the primary advantage of a Dot Plot?
    Q8. What is the Range of a dataset?
    Q9. What is a Clustered Column Graph (Double-Bar Graph)?
    Q10. If a bar in a clustered graph has length 4 units and the scale is 1 unit = 20 rockets, how many rockets does the bar represent?
    Q11. Can the arithmetic mean of a dataset ever be smaller than the minimum value in that dataset?
    Q12. In the 2-step process for making sense of graphs, what is Step 1?
    Q13. What is the secret 3-digit code for the textbook Number Lock puzzle on page 135?
    Q14. Why does the textbook use dots and slanted lines inside bars in the double-bar graph on page 115?
    Q15. If a dataset has values 10, 10, 10, 10, 10, what are its mean, median, and range?
    Q16. In the India height table, between which two successive ages did girls grow the most in 2019?
    Q17. In an exam, the scores of 5 students are: 40, 50, 60, 70, 80. If the teacher adds 5 grace marks to every student, what happens to the mean?
    Q18. Can an entire cricket team have a median score of 0 even if the team total is over 400 runs?
    Q19. Which of the following claims is an INVALID conclusion from a statistical average?
    Q20. What was the 16-foot rod method used in 16th-century Europe an early practical example of?

    12 Common Statistical Misconceptions to Avoid

    ✗
    Treating a missing value ('—' or 'did not play') as zero.
    A missing value means no observation was made; it must be excluded from both the total sum and the count of observations.
    Scores: 20, 30, —, 40. Mean is (20 + 30 + 40) ÷ 3 = 30, NOT (20 + 30 + 0 + 40) ÷ 4 = 22.5.
    ✗
    Forgetting to sort the data before finding the median.
    The median is the middle value of an ORDERED dataset. Always arrange data in ascending order first.
    In [15, 3, 9], picking 3 because it is in the middle of the written list is wrong. Sorted: [3, 9, 15] → Median = 9.
    ✗
    Assuming the arithmetic mean must be one of the numbers in the dataset.
    The mean is a calculated balance point. It often results in a decimal or number not present in the original dataset.
    Scores 3 and 6 have mean 4.5, which is not an integer in the dataset.
    ✗
    Believing that a higher group average means every individual in that group is higher.
    Group averages describe aggregate central tendency; individual distributions almost always overlap.
    Girls' average height 147 cm > Boys' average 143 cm does NOT mean every girl is taller than every boy.
    ✗
    Thinking a dot plot shows chronological sequence over time.
    A dot plot groups data points by value along a numerical axis, completely losing the original time order.
    Onion prices sorted on a dot plot show price distribution, not which month had which price.
    ✗
    Ignoring graph scale when comparing bar heights.
    Always check the vertical axis markings; 2 units of height could mean 10, 20, or 25,000 items depending on scale.
    A bar of 3 units with scale 1 unit = 20 rockets represents 60 rockets, not 3.
    ✗
    Using the arithmetic mean when a severe outlier distorts the dataset.
    When severe outliers are present, the median provides a much more robust and representative measure.
    Salaries: ₹20k, ₹25k, ₹22k, ₹24k, ₹500k. Mean is ₹118.2k (misleading), Median is ₹24k (representative).
    ✗
    Dividing by 2 instead of the number of observations when finding the mean.
    The mean formula divides by the total count $n$, not 2 (unless $n = 2$).
    Mean of 5 numbers requires dividing the sum by 5.
    ✗
    Assuming that having the most skyscrapers means having the world's tallest building.
    Frequency count of a category does not indicate the extreme peak value.
    Hong Kong has 553 skyscrapers >150m, but the single tallest building (Burj Khalifa) is in Dubai.
    ✗
    Thinking a non-statistical question can be turned into a statistical question without expanding the scope.
    A statistical question requires an expected distribution of varying observations across a group or timeline.
    'What is your age?' is single-valued. 'What are the ages of students in our school?' is statistical.
    ✗
    Confusing range with maximum value.
    Range is the difference between maximum and minimum: $\text{Range} = \text{Max} - \text{Min}$.
    In [10, 25, 40], maximum is 40, but Range is $40 - 10 = 30$.
    ✗
    Misinterpreting truncated graph axes.
    When a graph axis starts at a non-zero number (like 145 cm), visually observe the numbers carefully; visual bar heights can exaggerate small percentage differences.
    A bar from 145 to 150 cm is 5 units tall, while 145 to 155 cm is 10 units tall (looks double, but height is only 3% more!).

    Key Statistical Terms & Definitions

    Statistical Question

    A question that can be answered by collecting, organising, and analysing data that exhibits variability.

    Statistical Statement

    A summary claim or description about a phenomenon expressed using numerical values, proportions, probabilities, or predictions.

    Arithmetic Mean (Average)

    The balance point or fair-share value obtained by dividing the sum of all observations by the number of observations.

    Mean = (Sum of all values) ÷ (Number of values)
    Median

    The exact middle value of a dataset when the observations are arranged in numerical order.

    Middle value if odd; Average of two middle values if even
    Outlier

    A data point that significantly deviates from the overall pattern or clustering of the rest of the observations.

    Range

    The difference between the highest (maximum) and lowest (minimum) values in a dataset, measuring total dispersion.

    Range = Maximum − Minimum
    Dot Plot

    A graphical display where data points are stacked vertically as dots above a horizontal numerical number line.

    Clustered Column Graph (Double-Bar Graph)

    A chart that displays two or more bars side by side for each category, enabling direct visual comparison between groups.

    Variability

    The extent to which data points differ from one another and spread out across the scale.

    Central Tendency

    The inclination of data values to cluster around a central or representative value (measured by mean and median).

    Equal-Share (Fair-Share)

    The conceptual interpretation of the arithmetic mean as the amount each person would receive if the total were pooled and divided equally.

    Zero Value vs No Value

    Zero is a recorded observation of zero magnitude; a dash/missing entry means no observation was recorded.

    Graph Scale

    The relationship between a unit length on a graph axis and the real-world quantity it represents.

    1 unit length = k real units
    Truncated Axis

    A graph axis that does not begin at zero, allowing small variations to be zoomed in on, but requiring caution when interpreting visual bar proportions.

    samamiti

    Ancient Indian Sanskrit mathematical term used by Bhāskarācārya and Gaṇeṣa for the arithmetic mean, meaning 'equal measure'.

    sama (equal) + miti (measure)

    Frequently Asked Questions (FAQ)

    What is a statistical question?

    A statistical question is one that can be answered by collecting, organising, and analysing data that has variability. For example, 'How tall are Grade 7 students in our school?' is a statistical question because students have different heights.

    What is a statistical statement?

    A statistical statement is a claim or summary about a phenomenon expressed in terms of numerical values, proportions, probabilities, or predictions, such as 'The average rainfall in Jharkhand in July is 37.2 mm.'

    What is the arithmetic mean and how is it calculated?

    The arithmetic mean (or average) is the sum of all values in a collection divided by the total number of values: Mean = (Sum of all values) ÷ (Number of values). It represents the fair-share balance point of the data.

    What is the median and how do you find it?

    The median is the exact middle value when a dataset is arranged in ascending order. If there is an odd number of values, it is the single middle value. If there is an even number of values, it is the average of the two middle values.

    What is an outlier in a dataset?

    An outlier is an extreme data value that significantly deviates from the rest of the observations. For example, in family heights of 165, 170, 173, 175, and 118 cm, the child's height of 118 cm is an outlier at the lower end.

    How do outliers affect the mean and median differently?

    Outliers have a strong pulling effect on the arithmetic mean because the mean sums every value. A low outlier drags the mean down, and a high outlier pulls it up. The median is resistant (robust) to outliers because it depends only on middle position.

    What is a dot plot and what does it show?

    A dot plot displays observations as dots stacked vertically along a horizontal number line. It makes the minimum, maximum, range, clustering, gaps, and overall spread of the data immediately visible.

    Does a dot plot preserve the original chronological sequence of data?

    No. A dot plot sorts data by magnitude along the number line, so the original month-by-month or attempt-by-attempt time order is not preserved.

    What is the difference between a score of zero and missing data?

    Zero is an actual recorded observation of magnitude 0 (e.g., a batsman scored 0 runs in a match). Missing data ('—' or did not play) means the event did not occur or was unrecorded, so it must be excluded from both the total sum and the count of observations.

    What is range in statistics?

    Range is the difference between the maximum and minimum observations in a dataset: Range = Maximum − Minimum. It provides a quick measure of how spread out the data values are.

    What is a clustered bar graph (double-bar graph)?

    A clustered bar graph displays two or more bars side by side for each category on the horizontal axis. It allows direct visual comparison between two related series, such as monthly onion prices in two towns or boy vs. girl heights.

    What is the 2-step process for reading and interpreting graphs?

    Step 1: Identify what is given (title, categories, axes, scale, units, patterns). Step 2: Infer from what is given (analyse changes, maximums, minimums, valid comparisons, and questions the data can or cannot answer).

    Can an entire team have a median score of 0 if their total score is high?

    Yes. In an 11-player cricket team, if 6 or more players score 0, the 6th sorted score is 0, making the median 0, even if the remaining players score centuries and push the team total past 400 runs.

    Why should you be cautious when a graph axis does not start at zero?

    A truncated axis zooms in on small differences, but visual bar heights may make small percentage variations look dramatic. Always read the numerical labels along the axis.

    What are ancient Indian terms for the arithmetic mean?

    Ancient Indian mathematicians described the mean conceptually: Brahmagupta (628 CE) used 'samarajju' (mean line segment), Mahāvīrācārya (850 CE) used 'samīkaraṇa' (levelling/equalising), Śrīpati (1039 CE) used 'sāmya' (equality/impartiality), and Bhāskarācārya (1150 CE) used 'samamiti' (mean measure).

    Chapter Summary: What You Can Now Do!

    Identify statistical questions that expect variability across observations
    Calculate the arithmetic mean using Sum of Values ÷ Number of Values
    Understand the arithmetic mean as an equal-share or fair-share balance point
    Recall ancient Indian mathematical terms: samīkaraṇa, samarajju, and samamiti
    Compare collections using mean and range rather than misleading raw totals
    Construct and interpret dot plots to inspect clustering, gaps, and spread
    Determine the median for both odd-sized and even-sized collections
    Detect extreme outliers and explain why they skew the mean but not the median
    Treat zero as a valid recorded measurement while excluding missing values ('—')
    Construct and read clustered double-bar graphs with proper scales and legends
    Apply the 2-step method: Identify what is given, then infer conclusions
    Examine real-world data distributions (space rockets, daylight, animal speeds)
    Recognize that group averages do NOT mean every individual in one group exceeds another
    Validate or refute data claims against 30-year nationwide growth surveys
    Deduce secret combinations in logic puzzles using multi-clue constraint satisfaction
    🌟 Ganita Prakash Grade 7 Part-II Chapter 5 — Complete!
    You've connected the dots across questions, representative values, dot plots, clustered graphs, and statistical investigations.

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    Content strictly aligned with NCERT Ganita Prakash, Grade 7, Part-II, Chapter 5: Connecting the Dots… (Reprint 2026–27).