Review Exercise 12 Solutions
Step-by-step solved textbook exercises for basic statistics, including multiple-choice questions, descriptive definitions, histograms, frequency polygons, arithmetic means, and weighted averages.
| Question | Options | Correct Answer |
|---|---|---|
| i. Which data takes only some specific values? | (a) Continuous data (b) Discrete data (c) Grouped data (d) Ungrouped data |
(b) |
| ii. The number of times a value occurs in a data is called: | (a) Frequency (b) Relative frequency (c) Class limit (d) Class mark |
(a) |
| iii. Midpoint is also known as: | (a) Mean (b) Median (c) Class limit (d) Class mark |
(d) |
| iv. Frequency polygon is also drawn constructed by using: | (a) Histogram (b) Bar graph (c) Class boundaries (d) Class limit |
(a) |
| v. The difference between the greatest value and the smallest value is called: | (a) Class limits (b) Midpoint (c) Relative frequency (d) Range |
(d) |
| vi. Measure of central tendency is used to find out the _________ of a data set. | (a) Class boundaries (b) Cumulative frequency (c) Middle or centre value (d) Frequency |
(c) |
| vii. If the mean of 5, 7, 8, 9 and x is 7.5, what will be the value of x? | (a) 10 (b) 8 (c) 8.5 (d) 5.8 |
(c) |
| viii. Find the mode of the given data: 2, 5, 8, 9, 0, 1, 3, 7 and 10. | (a) 5 (b) 7 (c) 0 (d) No mode |
(d) |
| ix. In a data the values (observations) which appears or occurs most often is called: | (a) Mean (b) Mode (c) Median (d) Weighted mean |
(b) |
| x. Find the median of the given data: 110, 125, 122, 130, 124, 127 and 120: | (a) 124 (b) 120 (c) 125 (d) 127 |
(a) |
| Question | Options | Correct Answer |
|---|---|---|
| 1. A data in the form of frequency distribution is also called: | (a) Grouped data (b) Ungrouped data (c) Raw data (d) Dispersed data |
(a) |
| 2. The size of class interval (6–10) is: | (a) 4 (b) 5 (c) 8 (d) 10 |
(b) |
| 3. The midpoint or class mark of the group (6–10), is: | (a) 4 (b) 6 (c) 8 (d) 10 |
(c) |
| 4. A cumulative frequency means _____ of frequencies. | (a) sum (b) difference (c) product (d) quotient |
(a) |
| 5. A histogram is a graph of ____ rectangles: | (a) adjacent (b) non-adjacent (c) Parallel (d) equal height |
(a) |
| 6. A frequency polygon is geometrically: | (a) closed figure (b) open figure (c) straight (d) curved |
(a) |
| 7. In a frequency polygon frequencies are plotted against: | (a) midpoints (b) class limits (c) class boundaries (d) size of classes |
(a) |
| 8. The sum of all values divided by number of values is called: | (a) Mean (b) Median (c) Mode (d) Range |
(a) |
| 9. Direct formula to find mean from ungrouped data: | (a) X̄ = ΣXn (b) X̄ = ΣfXΣf (c) X̄ = A + ΣDn (d) X̄ = A + ΣfDΣf |
(a) |
| 10. Direct formula to find mean from grouped data is: | (a) X̄ = ΣXn (b) X̄ = ΣfXΣf (c) X̄ = A + ΣDn (d) X̄ = A + ΣfDΣf |
(b) |
| 11. Short formula to find mean from ungrouped data is: | (a) X̄ = ΣXn (b) X̄ = ΣfXΣf (c) X̄ = A + ΣDn (d) X̄ = A + ΣfDΣf |
(c) |
| 12. Short formula to find mean from grouped data is: | (a) X̄ = ΣXn (b) X̄ = ΣfXΣf (c) X̄ = A + ΣDn (d) X̄ = A + ΣfDΣf |
(d) |
| 13. A deviation is a difference of any value of the variable from a: | (a) constant (b) variable (c) sum (d) zero |
(a) |
| 14. The middlemost observation in arranged data set is called: | (a) median (b) mode (c) mean (d) range |
(a) |
| 15. The arrangement of data is necessary to find the value of: | (a) Mean (b) Median (c) Mode (d) Range |
(b) |
| 16. Median from the data 1, 4, 0, 7 and 9 is: | (a) 0 (b) 4 (c) 5 (d) 7 |
(b) |
| 17. The observation that occurs most often is called: | (a) median (b) mode (c) mean (d) range |
(b) |
| 18. The class having maximum frequency is called ________ class. | (a) Modal (b) Median (c) Lower (d) Upper |
(a) |
| 19. When all observations are not of equal importance then we find: | (a) Mean (b) Median (c) Mode (d) weighted mean |
(d) |
| 20. Weighted mean X̄w = ____ | (a) ΣWΣWX (b) ΣWXn (c) ΣXn (d) ΣWXΣW |
(d) |
(i) Frequency distribution
(ii) Histogram (unequal class limits)
(iii) Mean
(iv) Median
- (i) Frequency distribution: A tabular arrangement of data in which raw quantitative values are classified into different non-overlapping classes (class intervals) along with their corresponding number of occurrences (frequencies).
-
(ii) Histogram (unequal class limits): A graphical representation of a grouped frequency distribution with unequal class widths. Instead of using raw frequencies for height, the heights of the adjacent rectangles are drawn proportional to the **adjusted frequencies** (density), calculated as:
Height of rectangle = Frequency (f)Class Width (h)This ensures that the *area* of each rectangle remains proportional to the class frequency.
-
(iii) Mean: The arithmetic mean (or simple average) is a measure of central tendency calculated by dividing the sum of all observed values in the dataset by the total number of observations.
X̄ = ΣXn
-
(iv) Median: The middlemost value of a dataset that has been arranged in ascending or descending order. It divides the distribution into two equal halves. For ungrouped data:
- If n is odd: Median = value of the n + 12th observation.
- If n is even: Median = average of the n2th and n + 22th observations.
138, 164, 150, 122, 144, 125, 149, 157, 146, 158, 140, 147, 136, 148, 152, 144, 168, 126, 138, 176, 163, 119, 154, 165, 146, 173, 142, 147, 135, 153, 140, 135, 161, 145, 135, 142, 150, 156, 145, 128.
Make a frequency table taking size of class limits as 10. Also draw histogram and frequency polygon of the given data.Step 1: Parameters Identified
- Number of observations (n) = 40
- Minimum weight = 119 lbs
- Maximum weight = 176 lbs
- Size of class limits (h) = 10
Step 2: Frequency Distribution Table
| Class Limits | Tally Marks | Frequency (f) | Class Boundaries (C.B) | Midpoints (x) |
|---|---|---|---|---|
| 119–128 | |||| | 4 | 118.5–128.5 | 123.5 |
| 129–138 | ||||\ || | 7 | 128.5–138.5 | 133.5 |
| 139–148 | ||||\ ||||\ ||| | 13 | 138.5–148.5 | 143.5 |
| 149–158 | ||||\ |||| | 9 | 148.5–158.5 | 153.5 |
| 159–168 | ||||\ | 5 | 158.5–168.5 | 163.5 |
| 169–178 | || | 2 | 168.5–178.5 | 173.5 |
| Total | Σf = 40 | — | — | |
*Note: Sorting the raw values confirms the textbook groups 128 in the first class 119–128 to maintain the frequency of 4, 7, 13, 9, 5, 2 as printed in the textbook key.
Step 3: Graphical Visualizations
| Weight (kg) | 50–56 | 57–59 | 60–64 | 65–72 | 73–75 | 76–80 |
|---|---|---|---|---|---|---|
| Frequency (f) | 25 | 32 | 40 | 30 | 15 | 8 |
Since the class intervals are of unequal width, we must adjust the height of the rectangles. The height is proportional to the adjusted frequency, calculated as f / h (frequency divided by class size).
Step 1: Adjustment Table
| Weight (kg) | Frequency (f) | Class Width (h) | Height of rectangle (f/h) | Class Boundaries (C.B) | Class Midpoints (x) |
|---|---|---|---|---|---|
| 50–56 | 25 | 7 | 25 ÷ 7 ≈ 3.6 | 49.5–56.5 | 53.0 |
| 57–59 | 32 | 3 | 32 ÷ 3 ≈ 10.7 | 56.5–59.5 | 58.0 |
| 60–64 | 40 | 5 | 40 ÷ 5 = 8.0 | 59.5–64.5 | 62.0 |
| 65–72 | 30 | 8 | 30 ÷ 8 ≈ 3.8 | 64.5–72.5 | 68.5 |
| 73–75 | 15 | 3 | 15 ÷ 3 = 5.0 | 72.5–75.5 | 74.0 |
| 76–80 | 8 | 5 | 8 ÷ 5 = 1.6 | 75.5–80.5 | 78.0 |
Step 2: Combined Histogram & Polygon Plot
| Marks | 20–24 | 25–29 | 30–34 | 35–39 | 40–44 | 45–49 |
|---|---|---|---|---|---|---|
| No. of students | 5 | 8 | 12 | 15 | 3 | 2 |
(i) upper class boundary of the 5th class.
(ii) lower class boundaries of all the classes.
(iii) midpoint of all the classes.
(iv) the class interval with the least frequency.
| Class limits | No. of students (f) | Class Boundaries (C.B) | Midpoints (x) |
|---|---|---|---|
| 20–24 | 5 | 19.5–24.5 | 22.0 |
| 25–29 | 8 | 24.5–29.5 | 27.0 |
| 30–34 | 12 | 29.5–34.5 | 32.0 |
| 35–39 | 15 | 34.5–39.5 | 37.0 |
| 40–44 | 3 | 39.5–44.5 | 42.0 |
| 45–49 | 2 | 44.5–49.5 | 47.0 |
- (i) Upper class boundary of the 5th class: The 5th class is 40–44. Its class boundaries are 39.5–44.5. The upper class boundary is 44.5.
- (ii) Lower class boundaries of all classes: By subtracting 0.5 from the lower class limits, we get: 19.5, 24.5, 29.5, 34.5, 39.5, and 44.5 respectively.
- (iii) Midpoint of all classes: Using Lower + Upper2, we get: 22, 27, 32, 37, 42, and 47 respectively.
- (iv) Class interval with the least frequency: The minimum frequency is 2, which corresponds to the class interval 45–49.
| Class limits | 5–9 | 10–14 | 15–19 | 20–24 | 25–29 | 30–34 |
|---|---|---|---|---|---|---|
| Frequency | 1 | 8 | 18 | 11 | 2 | 5 |
Step 1: Set up the Working Table
| Class limits | Frequency (f) | Class Boundaries (C.B) | Midpoints (x) |
|---|---|---|---|
| 5–9 | 1 | 4.5–9.5 | 7 |
| 10–14 | 8 | 9.5–14.5 | 12 |
| 15–19 | 18 | 14.5–19.5 | 17 |
| 20–24 | 11 | 19.5–24.5 | 22 |
| 25–29 | 2 | 24.5–29.5 | 27 |
| 30–34 | 5 | 29.5–34.5 | 32 |
Step 2: Combined Plot Drawing
| Item | Quantity | Cost of item (Rs.) |
|---|---|---|
| Chair | 20 | 500 |
| Table | 20 | 400 |
| Black board | 10 | 750 |
| Tube light | 25 | 230 |
| Cupboard | 09 | 950 |
Let quantities be the weights (W) and the cost of items be the variable (X).
| Item | Quantity (W) | Cost (X) | Product (WX) |
|---|---|---|---|
| Chair | 20 | 500 | 20 × 500 = 10,000 |
| Table | 20 | 400 | 20 × 400 = 8,000 |
| Black board | 10 | 750 | 10 × 750 = 7,500 |
| Tube light | 25 | 230 | 25 × 230 = 5,750 |
| Cupboard | 9 | 950 | 9 × 950 = 8,550 |
| Total | ΣW = 84 | — | ΣWX = 39,800 |
Weighted Mean Formula:
Thus, the average cost of each item is Rs. 473.81.
(i) chair Rs.15,000
(ii) tables Rs.12,000
(iii) black boards: Rs.6,000
(iv) room renovation: Rs.10,000
(v) Gardening: Rs. 7,000
Find the average of funds allocation in each sector of the school.
The total fund allocated is Rs. 50,000 across n = 5 sectors.
| Sector | Allocated Fund (X) |
|---|---|
| Chairs | Rs. 15,000 |
| Tables | Rs. 12,000 |
| Black Boards | Rs. 6,000 |
| Room Renovation | Rs. 10,000 |
| Gardening | Rs. 7,000 |
| Total | ΣX = Rs. 50,000 |
The average fund allocation for each sector is Rs. 10,000.
- Given dataset: X = {84, 91, 72, 68, 87, 78}
- Number of observations (n) = 6
Step-by-step Calculation:
The arithmetic mean of Saad's marks is 80.
| Max-Load (kg) | 93–97 | 98–102 | 103–107 | 108–112 | 113–117 | 118–122 |
|---|---|---|---|---|---|---|
| No. of ropes | 2 | 5 | 8 | 12 | 6 | 2 |
Using the assumed mean method (short method), we set the assumed mean A = 100.
Calculation Table:
| Max. Load (kg) | No. of ropes (f) | Midpoint (x) | Deviation (D = x − A) | Product (fD) |
|---|---|---|---|---|
| 93–97 | 2 | 95 | 95 − 100 = −5 | 2 × (−5) = −10 |
| 98–102 | 5 | 100 | 100 − 100 = 0 | 5 × 0 = 0 |
| 103–107 | 8 | 105 | 105 − 100 = 5 | 8 × 5 = 40 |
| 108–112 | 12 | 110 | 110 − 100 = 10 | 12 × 10 = 120 |
| 113–117 | 6 | 115 | 115 − 100 = 15 | 6 × 15 = 90 |
| 118–122 | 2 | 120 | 120 − 100 = 20 | 2 × 20 = 40 |
| Total | Σf = 35 | — | — | ΣfD = 280 |
Step-by-step Calculation:
The average load supported by the ropes is 108 kg.
(a) Median Calculation
- Arranged dataset: X = {3, 4, 5, 6, 6, 8, 9, 11}
- Number of observations (n) = 8 (Even)
The median is calculated as the average of the two middle observations:
(b) Mode Calculation
The value that occurs with the highest frequency in the dataset is 6 (occurs twice, all other values occur once).
| Wages (Rs.) | 600–700 | 700–800 | 800–900 | 900–1000 | 1000–1100 |
|---|---|---|---|---|---|
| Employees | 3 | 5 | 7 | 21 | 11 |
(a) Arithmetic Mean Calculation
| Wages (Rs.) | Employees (f) | Midpoint (x) | Product (fx) |
|---|---|---|---|
| 600–700 | 3 | 650 | 3 × 650 = 1,950 |
| 700–800 | 5 | 750 | 5 × 750 = 3,750 |
| 800–900 | 7 | 850 | 7 × 850 = 5,950 |
| 900–1000 | 21 | 950 | 21 × 950 = 19,950 |
| 1000–1100 | 11 | 1050 | 11 × 1050 = 11,550 |
| Total | Σf = 47 | — | Σfx = 43,150 |
(b) Median Calculation
We first construct the Cumulative Frequency (C.F) table:
| Wages (Rs.) | Frequency (f) | Cumulative Frequency (C.F) |
|---|---|---|
| 600–700 | 3 | 3 |
| 700–800 | 5 | 3 + 5 = 8 |
| 800–900 | 7 | 8 + 7 = 15 (c) |
| 900–1000 (Median Class) | 21 (f) | 15 + 21 = 36 |
| 1000–1100 | 11 | 36 + 11 = 47 |
Median Position = n2 = 472 = 23.5th value.
Since 23.5 lies in the C.F of 36, the **Median Class is 900–1000**.
- Lower limit (l) = 900
- Width of interval (h) = 100
- Frequency of median class (f) = 21
- Cumulative frequency of preceding class (c) = 15
= 900 + 10021(23.5 − 15) = 900 + 10021(8.5)
= 900 + 85021 ≈ 900 + 40.48 = 940.48 Rs.
(c) Mode Calculation
The class with the highest frequency is 900–1000 (frequency = 21). Therefore, the **Modal Class is 900–1000**.
- Lower boundary (l) = 900
- Maximum frequency (fm) = 21
- Frequency of preceding class (f1) = 7
- Frequency of succeeding class (f2) = 11
- Class width (h) = 100
= 900 + (21 − 7) × 100(21 − 7) + (21 − 11) = 900 + 140014 + 10 = 900 + 140024
≈ 900 + 58.33 = 958.33 Rs.
📊 Review Exercise 12 Interactive Sandbox
Test your understanding with the self-grading MCQ quiz, or explore skewness dynamics visually on the distribution curve.