Solved Examples

NCERT Solutions for Class 8 Maths Chapter 4: Data Handling — Complete Guide

Master pie charts, histograms, grouped frequency tables, and basic probability with 30+ fully solved problems and exam-winning strategies.

CBSEClass 8
The SparkEd Authors (IITian & Googler)15 March 202650 min read
NCERT Solutions Class 8 Maths Chapter 4 Data Handling — SparkEd

Why Data Handling Is One of the Most Practical Chapters

Chapter 4 of NCERT Class 8 Maths — Data Handling — is unique among all the chapters because it connects mathematics directly to the real world. Every time you read a newspaper article with a graph, look at election results on TV, or check your cricket team's batting statistics, you are doing data handling.

This chapter teaches you to organise raw data into meaningful tables, represent data visually through pie charts and histograms, and make predictions using probability. These are skills that are used not just in maths exams, but in science projects, social studies surveys, economics, business, sports analytics, and even daily decision-making.

In Class 8, the chapter builds on your earlier knowledge of bar graphs and tally marks from Classes 6 and 7, and introduces three major new concepts: pie charts (circle graphs), histograms for continuous data, and the foundations of probability. The probability section is especially important as it forms the basis for the full probability chapters in Classes 9 and 10.

This chapter typically carries 5-8 marks in CBSE exams, with pie chart construction and probability calculations being the most commonly asked questions. The good news is that most problems follow straightforward formulas, so with proper practice, this is one of the easiest chapters to score full marks in.

Let us walk through every concept and exercise with detailed solutions!

Organising Data: Frequency Distribution Tables

The first step in data handling is organising raw data into a meaningful format. Raw data is just a collection of numbers — messy and hard to interpret. A frequency distribution table organises this data by counting how often each value (or range of values) appears.

Ungrouped Frequency Distribution

In an ungrouped frequency distribution, each distinct data value gets its own row, and we count how many times it appears (its frequency).

Example: The marks obtained by 20 students in a quiz are: 5,8,7,5,6,8,9,7,5,8,6,7,9,5,8,7,6,8,7,95, 8, 7, 5, 6, 8, 9, 7, 5, 8, 6, 7, 9, 5, 8, 7, 6, 8, 7, 9.

MarksTallyFrequency
5$\\\\$4
6$\\\$3
7$\\\\\;\$5
8$\\\\\;\$5
9$\\\$3
Total20

Now we can instantly see that marks 77 and 88 were the most common (mode = 77 and 88).

Grouped Frequency Distribution

When data has a wide range of values, we group them into class intervals (also called classes or bins).

Example: Heights (in cm) of 25 students: 138,142,151,147,155,161,143,149,158,163,145,152,141,156,148,162,144,153,159,146,157,140,150,160,154138, 142, 151, 147, 155, 161, 143, 149, 158, 163, 145, 152, 141, 156, 148, 162, 144, 153, 159, 146, 157, 140, 150, 160, 154.

Class IntervalFrequency
138143138 - 1435
143148143 - 1485
148153148 - 1535
153158153 - 1585
158163158 - 1635
Total25

Key Terms:
- Class interval (or class width): The range of each group. Here it is 55.
- Lower class limit: The smallest value in the interval (e.g., 138138 in 138143138-143).
- Upper class limit: The largest value in the interval (e.g., 143143 in 138143138-143).
- Class mark (midpoint): Lower limit+Upper limit2\dfrac{\text{Lower limit} + \text{Upper limit}}{2}.

In the convention used in NCERT, the upper limit of one class equals the lower limit of the next (e.g., 138143,143148138-143, 143-148). A value like 143143 is included in the class 143148143-148, not 138143138-143.

Pie Charts (Circle Graphs): Theory and Construction

A pie chart (or circle graph) is a circular chart divided into sectors, where each sector represents a proportion of the whole. The total of all sectors equals the full circle (360°360°).

The Central Angle Formula:

Central angle of a sector=Value of that categoryTotal of all values×360°\text{Central angle of a sector} = \dfrac{\text{Value of that category}}{\text{Total of all values}} \times 360°

Steps to Draw a Pie Chart:
1. Calculate the total of all values.
2. Find the central angle for each category using the formula above.
3. Verify that all central angles add up to 360°360°.
4. Draw a circle using a compass.
5. Use a protractor to draw each sector with the correct central angle.
6. Label each sector with the category name and percentage (or value).

Steps to Read a Pie Chart:
1. Identify the category and its central angle (or fraction of the circle).
2. Use the formula: Value =Central angle360°×Total= \dfrac{\text{Central angle}}{360°} \times \text{Total}.

Pie charts are best used when you want to show the proportion of each category relative to the whole. They are not ideal for comparing values across different time periods — use bar graphs for that.

Solved Example 1: Drawing a Pie Chart

Problem: The following data shows the monthly expenditure of a family. Draw a pie chart.

ItemAmount (Rs)
Food3000
Rent2400
Education1200
Others1400

Solution:

Total =3000+2400+1200+1400=8000= 3000 + 2400 + 1200 + 1400 = 8000

Central angles:
- Food =30008000×360°=38×360°=135°= \dfrac{3000}{8000} \times 360° = \dfrac{3}{8} \times 360° = 135°
- Rent =24008000×360°=310×360°=108°= \dfrac{2400}{8000} \times 360° = \dfrac{3}{10} \times 360° = 108°
- Education =12008000×360°=320×360°=54°= \dfrac{1200}{8000} \times 360° = \dfrac{3}{20} \times 360° = 54°
- Others =14008000×360°=740×360°=63°= \dfrac{1400}{8000} \times 360° = \dfrac{7}{40} \times 360° = 63°

Verification: 135°+108°+54°+63°=360°135° + 108° + 54° + 63° = 360°

Draw a circle, use a protractor to mark sectors with these angles, and label each sector with the category name and amount.

Solved Example 2: Reading a Pie Chart

Problem: A pie chart shows the favourite sports of 720720 students. The sector for Cricket has a central angle of 120°120°, Football has 90°90°, and Tennis has 60°60°. How many students chose each sport? What angle does the remaining sector have, and how many students does it represent?

Solution:

Cricket: 120°360°×720=13×720=240\dfrac{120°}{360°} \times 720 = \dfrac{1}{3} \times 720 = 240 students.

Football: 90°360°×720=14×720=180\dfrac{90°}{360°} \times 720 = \dfrac{1}{4} \times 720 = 180 students.

Tennis: 60°360°×720=16×720=120\dfrac{60°}{360°} \times 720 = \dfrac{1}{6} \times 720 = 120 students.

Remaining angle =360°(120°+90°+60°)=90°= 360° - (120° + 90° + 60°) = 90°.

Remaining students =90°360°×720=180= \dfrac{90°}{360°} \times 720 = 180 students.

Verification: 240+180+120+180=720240 + 180 + 120 + 180 = 720

Solved Example 3: Percentage-Based Pie Chart

Problem: A survey of 500500 people found that 30%30\% prefer tea, 25%25\% prefer coffee, 20%20\% prefer juice, and the rest prefer milk. Draw a pie chart.

Solution:

Milk percentage =100%30%25%20%=25%= 100\% - 30\% - 25\% - 20\% = 25\%.

Central angles:
- Tea =30100×360°=108°= \dfrac{30}{100} \times 360° = 108°
- Coffee =25100×360°=90°= \dfrac{25}{100} \times 360° = 90°
- Juice =20100×360°=72°= \dfrac{20}{100} \times 360° = 72°
- Milk =25100×360°=90°= \dfrac{25}{100} \times 360° = 90°

Verification: 108°+90°+72°+90°=360°108° + 90° + 72° + 90° = 360°

Number of people: Tea =150= 150, Coffee =125= 125, Juice =100= 100, Milk =125= 125. Total =500= 500 ✓.

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Histograms: Representing Continuous Data

A histogram is a type of bar graph used for continuous grouped data. Unlike regular bar graphs (where bars have gaps between them), histogram bars touch each other because the data is continuous — there are no gaps between class intervals.

How to Draw a Histogram:
1. Mark the class intervals on the x-axis.
2. Mark the frequencies on the y-axis.
3. For each class interval, draw a bar whose height equals the frequency.
4. Bars must touch each other (no gaps).

Key Differences: Bar Graph vs. Histogram

FeatureBar GraphHistogram
Data typeDiscrete/categoricalContinuous/grouped
Gaps between barsYesNo
Bar widthCan be any (equal)Equals class interval
X-axisCategoriesContinuous scale
RearrangementBars can be rearrangedBars cannot be rearranged

Histograms are especially useful in science experiments where you are measuring continuous quantities like height, weight, temperature, or time.

Solved Example 4: Drawing a Histogram

Problem: The following table shows the marks obtained by 4040 students. Draw a histogram.

Marks0100-10102010-20203020-30304030-40405040-50
Students4812106

Solution:

Step 1: Mark class intervals (010,1020,,40500-10, 10-20, \ldots, 40-50) on the x-axis.
Step 2: Mark frequencies (00 to 1414, with suitable scale) on the y-axis.
Step 3: Draw bars:
- 0100-10: height =4= 4
- 102010-20: height =8= 8
- 203020-30: height =12= 12
- 304030-40: height =10= 10
- 405040-50: height =6= 6

All bars touch each other. The tallest bar corresponds to the class 203020-30 (most students scored in this range).

Total verification: 4+8+12+10+6=404 + 8 + 12 + 10 + 6 = 40

Solved Example 5: Reading a Histogram

Problem: A histogram shows the weights (in kg) of students in a class. The bars have the following heights: 404540-45: 33, 455045-50: 77, 505550-55: 1212, 556055-60: 88, 606560-65: 55. Find: (a) The total number of students. (b) How many students weigh 5050 kg or more? (c) Which class interval has the highest frequency?

Solution:

(a) Total =3+7+12+8+5=35= 3 + 7 + 12 + 8 + 5 = 35 students.

(b) Students weighing 5050 kg or more: Classes 505550-55, 556055-60, 606560-65.
12+8+5=2512 + 8 + 5 = 25 students.

(c) The class interval 505550-55 has the highest frequency (1212), so it is the modal class.

Solved Example 6: Histogram with Unequal Class Intervals

Problem: Draw a histogram for the following data:

Age (years)101510-15152015-20203020-30305030-50508050-80
Number of people6812109

Solution:

The class intervals are unequal: 5,5,10,20,305, 5, 10, 20, 30. The minimum class width is 55.

For histograms with unequal class intervals, we adjust the frequency to frequency density:

Adjusted frequency=FrequencyClass width×Minimum class width\text{Adjusted frequency} = \dfrac{\text{Frequency}}{\text{Class width}} \times \text{Minimum class width}

  • 101510-15: 65×5=6\dfrac{6}{5} \times 5 = 6
    - 152015-20: 85×5=8\dfrac{8}{5} \times 5 = 8
    - 203020-30: 1210×5=6\dfrac{12}{10} \times 5 = 6
    - 305030-50: 1020×5=2.5\dfrac{10}{20} \times 5 = 2.5
    - 508050-80: 930×5=1.5\dfrac{9}{30} \times 5 = 1.5

Draw bars with these adjusted heights. The widths of the bars will be proportional to the class intervals.

Note: This type of problem is less common in Class 8 CBSE exams but good to know for competitive exams.

Exercise 4.1 — Complete Solutions (Pie Charts and Histograms)

Exercise 4.1 covers construction and interpretation of pie charts, histograms, and frequency distribution tables. Here are detailed solutions for all problem types.

Solved Example 7: Pie Chart for Time Spent

Problem: Priya spends her day as follows: School =6= 6 hours, Homework =3= 3 hours, Play =2= 2 hours, Sleep =8= 8 hours, Others =5= 5 hours. Draw a pie chart.

Solution:

Total =6+3+2+8+5=24= 6 + 3 + 2 + 8 + 5 = 24 hours.

Central angles:
- School =624×360°=90°= \dfrac{6}{24} \times 360° = 90°
- Homework =324×360°=45°= \dfrac{3}{24} \times 360° = 45°
- Play =224×360°=30°= \dfrac{2}{24} \times 360° = 30°
- Sleep =824×360°=120°= \dfrac{8}{24} \times 360° = 120°
- Others =524×360°=75°= \dfrac{5}{24} \times 360° = 75°

Verification: 90°+45°+30°+120°+75°=360°90° + 45° + 30° + 120° + 75° = 360°

Solved Example 8: Finding Values from a Pie Chart

Problem: In a pie chart showing the colours of cars in a parking lot, the red sector has an angle of 80°80°, blue has 100°100°, white has 120°120°, and black takes the rest. If there are 180180 cars in total, how many are black?

Solution:

Angle for black =360°(80°+100°+120°)=360°300°=60°= 360° - (80° + 100° + 120°) = 360° - 300° = 60°.

Number of black cars =60°360°×180=16×180=30= \dfrac{60°}{360°} \times 180 = \dfrac{1}{6} \times 180 = 30.

Answer: There are 3030 black cars.

Solved Example 9: Constructing a Grouped Frequency Table

Problem: The marks of 3030 students are: 23,45,67,38,52,15,71,44,59,33,27,48,62,41,55,18,73,36,51,29,64,42,57,21,49,68,35,53,46,6123, 45, 67, 38, 52, 15, 71, 44, 59, 33, 27, 48, 62, 41, 55, 18, 73, 36, 51, 29, 64, 42, 57, 21, 49, 68, 35, 53, 46, 61. Organise into a grouped frequency table with class intervals of 1010.

Solution:

Class IntervalTallyFrequency
102010-20$\\$2
203020-30$\\\\$4
304030-40$\\\\$4
405040-50$\\\\\;\\$7
506050-60$\\\\\;\$6
607060-70$\\\\$5
708070-80$\\$2
Total30

The modal class is 405040-50 (highest frequency of 77).

Solved Example 10: Histogram to Frequency Table

Problem: A histogram has bars with the following details: 0100-10 (height 55), 102010-20 (height 88), 203020-30 (height 1515), 304030-40 (height 1212), 405040-50 (height 1010). (a) Write the frequency table. (b) How many data points are there? (c) What fraction of data falls in the range 204020-40?

Solution:

(a) Frequency table:

ClassFrequency
0100-105
102010-208
203020-3015
304030-4012
405040-5010

(b) Total =5+8+15+12+10=50= 5 + 8 + 15 + 12 + 10 = 50.

(c) Data in 2040=15+12=2720-40 = 15 + 12 = 27. Fraction =2750= \dfrac{27}{50}.

Probability: Theoretical Foundations

Probability measures how likely an event is to occur. It is a number between 00 and 11:
- P=0P = 0 means the event is impossible.
- P=1P = 1 means the event is certain.
- 0<P<10 < P < 1 means the event is possible but not guaranteed.

Key Definitions:
- Experiment: An action that produces a result (e.g., tossing a coin, rolling a die).
- Outcome: A possible result of the experiment (e.g., getting Heads).
- Sample Space: The set of all possible outcomes (e.g., {H,T}\{H, T\} for a coin toss).
- Event: A specific outcome or set of outcomes we are interested in.
- Equally Likely Outcomes: Outcomes that have the same chance of occurring.

The Probability Formula:

P(event)=Number of favourable outcomesTotal number of equally likely outcomesP(\text{event}) = \dfrac{\text{Number of favourable outcomes}}{\text{Total number of equally likely outcomes}}

Complementary Events:

P(event not happening)=1P(event happening)P(\text{event not happening}) = 1 - P(\text{event happening})

P(E)+P(Eˉ)=1P(E) + P(\bar{E}) = 1

Probability with Coins

A fair coin has two equally likely outcomes: Heads (H) and Tails (T).

P(H)=12P(H) = \dfrac{1}{2} and P(T)=12P(T) = \dfrac{1}{2}.

For two coins tossed together, the sample space is: {HH,HT,TH,TT}\{HH, HT, TH, TT\}44 outcomes.

For three coins: {HHH,HHT,HTH,THH,HTT,THT,TTH,TTT}\{HHH, HHT, HTH, THH, HTT, THT, TTH, TTT\}88 outcomes.

In general, nn coins give 2n2^n outcomes.

Probability with Dice

A fair die has six equally likely outcomes: {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\}.

Some useful probabilities:
- P(even number)=36=12P(\text{even number}) = \dfrac{3}{6} = \dfrac{1}{2} (outcomes: 2,4,62, 4, 6)
- P(prime number)=36=12P(\text{prime number}) = \dfrac{3}{6} = \dfrac{1}{2} (outcomes: 2,3,52, 3, 5)
- P(greater than 4)=26=13P(\text{greater than 4}) = \dfrac{2}{6} = \dfrac{1}{3} (outcomes: 5,65, 6)
- P(less than or equal to 3)=36=12P(\text{less than or equal to 3}) = \dfrac{3}{6} = \dfrac{1}{2} (outcomes: 1,2,31, 2, 3)

For two dice thrown together, the total outcomes =6×6=36= 6 \times 6 = 36.

Probability with Cards

A standard deck has 5252 cards: 44 suits (Hearts, Diamonds, Clubs, Spades) with 1313 cards each (A, 2-10, J, Q, K). Hearts and Diamonds are red; Clubs and Spades are black.

  • P(red card)=2652=12P(\text{red card}) = \dfrac{26}{52} = \dfrac{1}{2}
    - P(king)=452=113P(\text{king}) = \dfrac{4}{52} = \dfrac{1}{13}
    - P(heart)=1352=14P(\text{heart}) = \dfrac{13}{52} = \dfrac{1}{4}
    - P(face card)=1252=313P(\text{face card}) = \dfrac{12}{52} = \dfrac{3}{13} (J, Q, K of each suit)
    - P(ace of spades)=152P(\text{ace of spades}) = \dfrac{1}{52}

Exercise 4.2 — Complete Solutions (Probability)

Exercise 4.2 covers probability problems involving coins, dice, balls in bags, and spinner wheels. Here are detailed solutions for all types.

Solved Example 11: Die Probability

Problem: A die is thrown once. What is the probability of getting: (a) a number greater than 44, (b) a number less than or equal to 22, (c) the number 77?

Solution:

Sample space ={1,2,3,4,5,6}= \{1, 2, 3, 4, 5, 6\}. Total outcomes =6= 6.

(a) Greater than 44: {5,6}\{5, 6\}. P=26=13P = \dfrac{2}{6} = \dfrac{1}{3}.

(b) Less than or equal to 22: {1,2}\{1, 2\}. P=26=13P = \dfrac{2}{6} = \dfrac{1}{3}.

(c) The number 77: {}\{\} (empty set — 77 is not on a die). P=06=0P = \dfrac{0}{6} = 0.

The event is impossible.

Solved Example 12: Balls in a Bag

Problem: A bag contains 55 red balls, 33 blue balls, and 22 green balls. A ball is drawn at random. Find the probability of: (a) a red ball, (b) not a green ball, (c) a blue or green ball.

Solution:

Total balls =5+3+2=10= 5 + 3 + 2 = 10.

(a) P(red)=510=12P(\text{red}) = \dfrac{5}{10} = \dfrac{1}{2}.

(b) P(not green)=1P(green)=1210=810=45P(\text{not green}) = 1 - P(\text{green}) = 1 - \dfrac{2}{10} = \dfrac{8}{10} = \dfrac{4}{5}.

(c) Blue or green balls =3+2=5= 3 + 2 = 5. P(blue or green)=510=12P(\text{blue or green}) = \dfrac{5}{10} = \dfrac{1}{2}.

Solved Example 13: Experimental Probability

Problem: A coin is tossed 200200 times. Heads comes up 118118 times. Find the experimental probability of: (a) getting heads, (b) getting tails.

Solution:

(a) P(heads)=118200=59100=0.59P(\text{heads}) = \dfrac{118}{200} = \dfrac{59}{100} = 0.59.

(b) Tails =200118=82= 200 - 118 = 82. P(tails)=82200=41100=0.41P(\text{tails}) = \dfrac{82}{200} = \dfrac{41}{100} = 0.41.

Note: The theoretical probability of each is 0.50.5. The experimental values are close but not exactly 0.50.5 — this is normal. As the number of trials increases, the experimental probability gets closer to the theoretical probability.

Solved Example 14: Two Coins Tossed Together

Problem: Two coins are tossed simultaneously. Find the probability of: (a) both heads, (b) at least one tail, (c) exactly one head.

Solution:

Sample space ={HH,HT,TH,TT}= \{HH, HT, TH, TT\}. Total outcomes =4= 4.

(a) Both heads: {HH}\{HH\}. P=14P = \dfrac{1}{4}.

(b) At least one tail: {HT,TH,TT}\{HT, TH, TT\}. P=34P = \dfrac{3}{4}.
Alternatively: P(at least one tail)=1P(no tail)=114=34P(\text{at least one tail}) = 1 - P(\text{no tail}) = 1 - \dfrac{1}{4} = \dfrac{3}{4}.

(c) Exactly one head: {HT,TH}\{HT, TH\}. P=24=12P = \dfrac{2}{4} = \dfrac{1}{2}.

Solved Example 15: Spinner Probability

Problem: A spinner has 88 equal sections numbered 11 to 88. Find the probability of: (a) getting an odd number, (b) getting a multiple of 33, (c) getting a number greater than 66.

Solution:

Total outcomes =8= 8. All equally likely.

(a) Odd numbers: {1,3,5,7}\{1, 3, 5, 7\}. P=48=12P = \dfrac{4}{8} = \dfrac{1}{2}.

(b) Multiples of 33: {3,6}\{3, 6\}. P=28=14P = \dfrac{2}{8} = \dfrac{1}{4}.

(c) Greater than 66: {7,8}\{7, 8\}. P=28=14P = \dfrac{2}{8} = \dfrac{1}{4}.

Solved Example 16: Card Probability

Problem: A card is drawn at random from a well-shuffled deck of 5252 cards. Find the probability of getting: (a) a red queen, (b) a face card, (c) not a king.

Solution:

(a) Red queens: Queen of Hearts and Queen of Diamonds =2= 2 cards.
P(red queen)=252=126P(\text{red queen}) = \dfrac{2}{52} = \dfrac{1}{26}.

(b) Face cards: J, Q, K of each suit =4×3=12= 4 \times 3 = 12 cards.
P(face card)=1252=313P(\text{face card}) = \dfrac{12}{52} = \dfrac{3}{13}.

(c) Kings =4= 4. Not a king =524=48= 52 - 4 = 48.
P(not a king)=4852=1213P(\text{not a king}) = \dfrac{48}{52} = \dfrac{12}{13}.
Alternatively: 1P(king)=1452=1113=12131 - P(\text{king}) = 1 - \dfrac{4}{52} = 1 - \dfrac{1}{13} = \dfrac{12}{13}.

Solved Example 17: Word Probability

Problem: A letter is chosen at random from the word MATHEMATICS. Find the probability that it is: (a) M, (b) a vowel, (c) a consonant.

Solution:

MATHEMATICS has 1111 letters: M, A, T, H, E, M, A, T, I, C, S.

(a) M appears 22 times. P(M)=211P(M) = \dfrac{2}{11}.

(b) Vowels in MATHEMATICS: A, E, A, I =4= 4 vowels. P(vowel)=411P(\text{vowel}) = \dfrac{4}{11}.

(c) Consonants =114=7= 11 - 4 = 7. P(consonant)=711P(\text{consonant}) = \dfrac{7}{11}.

Verification: P(vowel)+P(consonant)=411+711=1P(\text{vowel}) + P(\text{consonant}) = \dfrac{4}{11} + \dfrac{7}{11} = 1

Solved Example 18: Probability of Sum with Two Dice

Problem: Two dice are thrown together. Find the probability that the sum is: (a) 77, (b) greater than 1010.

Solution:

Total outcomes =6×6=36= 6 \times 6 = 36.

(a) Pairs with sum 77: (1,6),(2,5),(3,4),(4,3),(5,2),(6,1)=6(1,6), (2,5), (3,4), (4,3), (5,2), (6,1) = 6 outcomes.
P(sum=7)=636=16P(\text{sum} = 7) = \dfrac{6}{36} = \dfrac{1}{6}.

(b) Pairs with sum >10> 10 (i.e., sum =11= 11 or 1212):
Sum 1111: (5,6),(6,5)=2(5,6), (6,5) = 2 outcomes.
Sum 1212: (6,6)=1(6,6) = 1 outcome.
Total =3= 3 outcomes.
P(sum>10)=336=112P(\text{sum} > 10) = \dfrac{3}{36} = \dfrac{1}{12}.

Additional Practice Problems with Solutions

Here are more problems to build your confidence before exams.

Solved Example 19: Pie Chart — Budget Allocation

Problem: A school budget of Rs 2,00,0002,00,000 is allocated as: Teachers' salary 40%40\%, Infrastructure 25%25\%, Sports 15%15\%, Library 10%10\%, Others 10%10\%. Find the central angles and the amount for each.

Solution:

Central angles: Salary =0.4×360°=144°= 0.4 \times 360° = 144°, Infrastructure =0.25×360°=90°= 0.25 \times 360° = 90°, Sports =0.15×360°=54°= 0.15 \times 360° = 54°, Library =0.1×360°=36°= 0.1 \times 360° = 36°, Others =0.1×360°=36°= 0.1 \times 360° = 36°.

Amounts: Salary =80,000= 80{,}000, Infrastructure =50,000= 50{,}000, Sports =30,000= 30{,}000, Library =20,000= 20{,}000, Others =20,000= 20{,}000.

Verification: Angles: 144+90+54+36+36=360°144 + 90 + 54 + 36 + 36 = 360° ✓. Amounts: 80000+50000+30000+20000+20000=20000080000 + 50000 + 30000 + 20000 + 20000 = 200000 ✓.

Solved Example 20: Probability — Multiple Events

Problem: A box contains 44 red, 66 white, and 55 blue marbles. One marble is drawn at random. Find the probability that it is: (a) white, (b) not red, (c) red or blue.

Solution:

Total marbles =4+6+5=15= 4 + 6 + 5 = 15.

(a) P(white)=615=25P(\text{white}) = \dfrac{6}{15} = \dfrac{2}{5}.

(b) P(not red)=1415=1115P(\text{not red}) = 1 - \dfrac{4}{15} = \dfrac{11}{15}.

(c) Red or blue =4+5=9= 4 + 5 = 9. P(red or blue)=915=35P(\text{red or blue}) = \dfrac{9}{15} = \dfrac{3}{5}.

Common Mistakes Students Make in Data Handling

Here are the most frequent errors — avoid these and you will score full marks:

1. **Central angles not adding to 360°360°:**
* Mistake: Making rounding errors so the angles add to 358°358° or 362°362°.
* Fix: Always verify that all central angles sum to exactly 360°360° before drawing the pie chart. Adjust for rounding if needed.

2. Confusing bar graphs and histograms:
* Mistake: Drawing gaps between bars in a histogram, or drawing bars touching in a bar graph.
* Fix: Histograms (continuous data) = no gaps. Bar graphs (discrete data) = gaps.

3. Wrong class interval convention:
* Mistake: Including a value like 2020 in both the class 102010-20 and 203020-30.
* Fix: In NCERT convention, the upper limit of one class is the lower limit of the next. A value exactly at the boundary (like 2020) goes in the higher class (203020-30).

4. **Probability greater than 11 or negative:**
* Mistake: Getting a probability of 75\dfrac{7}{5} and not noticing it is wrong.
* Fix: Probability MUST be between 00 and 11. If you get a value outside this range, you have made an error.

5. Not simplifying probability fractions:
* Mistake: Writing 48\dfrac{4}{8} instead of 12\dfrac{1}{2}.
* Fix: Always simplify probability fractions to their lowest terms.

6. Confusing "at least" and "at most":
* Mistake: "At least one head" being interpreted as "exactly one head".
* Fix: "At least one" means one OR more. "At most one" means one OR fewer.

7. Not listing all outcomes for compound events:
* Mistake: Missing outcomes like (2,5)(2,5) vs. (5,2)(5,2) when two dice are thrown.
* Fix: (2,5)(2,5) and (5,2)(5,2) are DIFFERENT outcomes. List systematically.

Exam Strategy: How to Score Full Marks in Chapter 4

Chapter 4 is one of the easiest to score full marks in, provided you follow a systematic approach.

Weightage: This chapter typically carries 5-8 marks in CBSE exams across MCQs, construction problems, and probability calculations.

Typical Question Patterns:

* 1 Mark (MCQ/VSA): Simple probability calculation; identifying the type of graph suitable for given data; reading a single value from a pie chart.

* 2-3 Marks (SA): Drawing a pie chart for given data; probability with dice/coins/cards; reading and interpreting a histogram.

* 3-4 Marks (LA): Constructing a pie chart with 44-55 categories; multi-part probability problems; converting data to grouped frequency table and drawing histogram.

High-Priority Topics:
1. Pie chart construction (central angle formula)
2. Reading and interpreting pie charts
3. Probability with dice, coins, and balls-in-bag
4. Complementary probability (P(Eˉ)=1P(E)P(\bar{E}) = 1 - P(E))
5. Histogram construction for grouped data

Time Allocation: Pie chart problems take 66-88 minutes (including drawing). Probability problems take 33-44 minutes each.

Pro Tips:
- For pie charts: Calculate ALL angles first, verify they sum to 360°360°, THEN draw.
- Use a sharp pencil, compass, and protractor for pie charts. Accuracy matters.
- For probability: Always identify the sample space first. Write it out if needed.
- The complement rule (1P1 - P) is your best friend for "not" questions.
- Label all graphs clearly with title, axes labels, and scale.

Practice on SparkEd's Data Handling page for exam-ready confidence!

Connections to Other Chapters and Higher Classes

Data handling skills connect to many other areas:

Within Class 8:
- Chapter 7 (Comparing Quantities): Percentage calculations used in pie chart construction.
- Chapter 1 (Rational Numbers): Simplifying probability fractions.

In Class 9:
- Chapter 14 (Statistics): Mean, median, mode, and more advanced frequency distributions.
- Chapter 15 (Probability): A full chapter on probability with more complex problems.

In Class 10:
- Chapter 14 (Statistics): Cumulative frequency, ogives, and median from grouped data.
- Chapter 15 (Probability): Formal probability theory with more complex compound events.

In Real Life:
- Reading election results, sports statistics, stock market charts.
- Conducting science experiments and analysing results.
- Making data-driven decisions in business, medicine, and engineering.

The data handling skills you build now will serve you throughout your academic and professional career!

Boost Your Preparation with SparkEd

You have just gone through the entire Data Handling chapter — pie charts, histograms, frequency tables, and probability. But reading alone will not get you full marks; practice will.

Here is how SparkEd can help:

* Practice by Difficulty: On our Data Handling practice page, work through problems sorted by difficulty.

* AI Math Solver: Stuck on a probability problem or pie chart calculation? Paste it into our AI Solver and get step-by-step solutions.

* AI Coach: Get personalized recommendations on which data handling skills need more practice.

* Cross-Topic Connections: Data Handling connects to Comparing Quantities (Chapter 7) and Rational Numbers (Chapter 1). Explore all chapters on our programs page.

Head over to sparkedmaths.com and start practicing today!

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