STATISTICS - Q&A
Exercise 12.1
1. A survey conducted by an organisation for the cause of illness and death among the women between the ages 15 - 44 (in years) worldwide, found the following figures (in %):
| S.No. | Causes | Female Fatality Rate (%) |
|---|---|---|
| 1. | Reproductive health conditions | 31.8 |
| 2. | Neuro-psychiatric conditions | 25.4 |
| 3. | Injuries | 12.4 |
| 4. | Cardiovascular conditions | 4.3 |
| 5. | Respiratory conditions | 4.1 |
| 6. | Other causes | 22.0 |
(i) Represent the information given above graphically.
To represent this data graphically, a bar graph is suitable. We will plot the 'Causes' on the x-axis and the 'Female Fatality Rate (%)' on the y-axis.
Steps:
1. Draw the x-axis and y-axis.
2. Take a suitable scale on the y-axis (e.g., 1 unit = 5%).
3. Mark the causes on the x-axis at equal intervals.
4. Draw rectangular bars of equal width for each cause with heights corresponding to their fatality rates:
- Reproductive health conditions: 31.8
- Neuro-psychiatric conditions: 25.4
- Injuries: 12.4
- Cardiovascular conditions: 4.3
- Respiratory conditions: 4.1
- Other causes: 22.0
(ii) Which condition is the major cause of women's ill health and death worldwide?
By observing the table or the bar graph, the highest fatality rate is 31.8%.
This corresponds to Reproductive health conditions.
So, Reproductive health conditions is the major cause of women's ill health and death worldwide.
(iii) Try to find out, with the help of your teacher, any two factors which play a major role in the cause in (ii) above being the major cause.
Two possible factors for 'Reproductive health conditions' being the major cause are:
1. Lack of proper medical facilities and infrastructure in many regions.
2. Lack of knowledge and awareness about reproductive health and hygiene among women.
2. The following data on the number of girls (to the nearest ten) per thousand boys in different sections of Indian society is given below.
| Section | Number of girls per thousand boys |
|---|---|
| Scheduled Caste (SC) | 940 |
| Scheduled Tribe (ST) | 970 |
| Non SC/ST | 920 |
| Backward districts | 950 |
| Non-backward districts | 920 |
| Rural | 930 |
| Urban | 900 |
(i) Represent the information above by a bar graph.
We can represent this data using a bar graph.
Steps:
1. Plot 'Section' on the x-axis and 'Number of girls per thousand boys' on the y-axis.
2. Choose a scale for the y-axis. Since values are between 900 and 970, we can start the y-axis from 900 or use a kink/break symbol.
3. Draw bars for each section:
- SC: 940
- ST: 970
- Non SC/ST: 920
- Backward districts: 950
- Non-backward districts: 920
- Rural: 930
- Urban: 900
(ii) In the classroom discuss what conclusions can be arrived at from the graph.
Conclusions:
1. The number of girls per thousand boys is highest for Scheduled Tribes (ST) at 970.
2. The number is lowest for Urban areas at 900.
3. Backward districts have a higher sex ratio (950) compared to non-backward districts (920).
4. Rural areas have a better sex ratio (930) compared to urban areas (900).
3. Given below are the seats won by different political parties in the polling outcome of a state assembly elections:
| Political Party | A | B | C | D | E | F |
| Seats Won | 75 | 55 | 37 | 29 | 10 | 37 |
(i) Draw a bar graph to represent the polling results.
To draw the bar graph:
1. Take 'Political Party' on x-axis and 'Seats Won' on y-axis.
2. Scale on y-axis: 1 unit = 10 seats.
3. Draw bars corresponding to the seats won:
- A: 75
- B: 55
- C: 37
- D: 29
- E: 10
- F: 37
(ii) Which political party won the maximum number of seats?
From the table and graph, Party A won 75 seats, which is the highest.
So, Party A won the maximum number of seats.
4. The length of 40 leaves of a plant are measured correct to one millimetre, and the obtained data is represented in the following table:
| Length (in mm) | Number of leaves |
|---|---|
| 118 - 126 | 3 |
| 127 - 135 | 5 |
| 136 - 144 | 9 |
| 145 - 153 | 12 |
| 154 - 162 | 5 |
| 163 - 171 | 4 |
| 172 - 180 | 2 |
(i) Draw a histogram to represent the given data. [Hint: First make the class intervals continuous]
The given class intervals are not continuous (e.g., 126 to 127 has a gap).
To make them continuous, we subtract 0.5 from the lower limit and add 0.5 to the upper limit.
Gap = 127 - 126 = 1. So, adjustment = 1/2 = 0.5.
Modified Table:
| Length (in mm) | Number of leaves |
|---|---|
| 117.5 - 126.5 | 3 |
| 126.5 - 135.5 | 5 |
| 135.5 - 144.5 | 9 |
| 144.5 - 153.5 | 12 |
| 153.5 - 162.5 | 5 |
| 162.5 - 171.5 | 4 |
| 171.5 - 180.5 | 2 |
(ii) Is there any other suitable graphical representation for the same data?
Yes, a Frequency Polygon can also be used to represent this data.
(iii) Is it correct to conclude that the maximum number of leaves are 153 mm long? Why?
No, it is not correct.
Reason: The data tells us that the maximum number of leaves (12) lie in the interval 145 - 153 (or 144.5 - 153.5). It does not mean all or most of them are exactly 153 mm. They can have any length within that range.
5. The following table gives the life times of 400 neon lamps:
| Life time (in hours) | Number of lamps |
|---|---|
| 300 - 400 | 14 |
| 400 - 500 | 56 |
| 500 - 600 | 60 |
| 600 - 700 | 86 |
| 700 - 800 | 74 |
| 800 - 900 | 62 |
| 900 - 1000 | 48 |
(i) Represent the given information with the help of a histogram.
The class intervals are already continuous.
Take 'Life time (in hours)' on x-axis and 'Number of lamps' on y-axis.
Scale: x-axis 1 cm = 100 hours, y-axis 1 cm = 10 lamps.
Draw rectangles for each interval with height corresponding to the frequency.
- 300-400: 14
- 400-500: 56
- 500-600: 60
- 600-700: 86
- 700-800: 74
- 800-900: 62
- 900-1000: 48
(ii) How many lamps have a life time of more than 700 hours?
Lamps with life time more than 700 hours are those in intervals 700-800, 800-900, and 900-1000.
Total = 74 + 62 + 48
Total = 184 lamps.
6. The following table gives the distribution of students of two sections according to the marks obtained by them:
| Section A | Section B | ||
|---|---|---|---|
| Marks | Frequency | Marks | Frequency |
| 0 - 10 | 3 | 0 - 10 | 5 |
| 10 - 20 | 9 | 10 - 20 | 19 |
| 20 - 30 | 17 | 20 - 30 | 15 |
| 30 - 40 | 12 | 30 - 40 | 10 |
| 40 - 50 | 9 | 40 - 50 | 1 |
Represent the marks of the students of both the sections on the same graph by two frequency polygons. From the two polygons compare the performance of the two sections.
To draw frequency polygons, we need the class marks (mid-points) of the class intervals.
Class Mark = (Lower Limit + Upper Limit) / 2.
For Section A:
- 0-10: Class mark 5, Freq 3
- 10-20: Class mark 15, Freq 9
- 20-30: Class mark 25, Freq 17
- 30-40: Class mark 35, Freq 12
- 40-50: Class mark 45, Freq 9
For Section B:
- 0-10: Class mark 5, Freq 5
- 10-20: Class mark 15, Freq 19
- 20-30: Class mark 25, Freq 15
- 30-40: Class mark 35, Freq 10
- 40-50: Class mark 45, Freq 1
Plot these points for both sections on the same graph and join them with straight lines.
Comparison: By observing the polygons, Section A has more students scoring higher marks (range 40-50) compared to Section B. Section B has a peak at 10-20 marks, while Section A peaks at 20-30. Overall, Section A seems to have performed better.
7. The runs scored by two teams A and B on the first 60 balls in a cricket match are given below:
| Number of balls | Team A | Team B |
|---|---|---|
| 1 - 6 | 2 | 5 |
| 7 - 12 | 1 | 6 |
| 13 - 18 | 8 | 2 |
| 19 - 24 | 9 | 10 |
| 25 - 30 | 4 | 5 |
| 31 - 36 | 5 | 6 |
| 37 - 42 | 6 | 3 |
| 43 - 48 | 10 | 4 |
| 49 - 54 | 6 | 8 |
| 55 - 60 | 2 | 10 |
Represent the data of both the teams on the same graph by frequency polygons. [Hint: First make the class intervals continuous.]
The class intervals are not continuous (1-6, 7-12).
Adjustment: 7 - 6 = 1. Half of 1 is 0.5.
Subtract 0.5 from lower limit and add 0.5 to upper limit.
New Class Intervals and Class Marks (Mid-points):
1. 0.5 - 6.5 (Mid: 3.5)
2. 6.5 - 12.5 (Mid: 9.5)
3. 12.5 - 18.5 (Mid: 15.5)
... and so on.
Plot points for Team A: (3.5, 2), (9.5, 1), (15.5, 8), (21.5, 9), (27.5, 4), (33.5, 5), (39.5, 6), (45.5, 10), (51.5, 6), (57.5, 2).
Plot points for Team B: (3.5, 5), (9.5, 6), (15.5, 2), (21.5, 10), (27.5, 5), (33.5, 6), (39.5, 3), (45.5, 4), (51.5, 8), (57.5, 10).
Join the points to form two frequency polygons on the same graph.
8. A random survey of the number of children of various age groups playing in a park was found as follows:
| Age (in years) | Number of children |
|---|---|
| 1 - 2 | 5 |
| 2 - 3 | 3 |
| 3 - 5 | 6 |
| 5 - 7 | 12 |
| 7 - 10 | 9 |
| 10 - 15 | 10 |
| 15 - 17 | 4 |
Draw a histogram to represent the data above.
The class widths are varying (1, 1, 2, 2, 3, 5, 2).
We need to calculate the adjusted frequency for the histogram so that the area of the rectangle is proportional to the frequency.
Formula: Adjusted Frequency = (Frequency / Class Width) × Min Class Width.
Minimum class width = 1.
Calculations:
1. 1-2: Width 1. Adj Freq = (5/1)*1 = 5
2. 2-3: Width 1. Adj Freq = (3/1)*1 = 3
3. 3-5: Width 2. Adj Freq = (6/2)*1 = 3
4. 5-7: Width 2. Adj Freq = (12/2)*1 = 6
5. 7-10: Width 3. Adj Freq = (9/3)*1 = 3
6. 10-15: Width 5. Adj Freq = (10/5)*1 = 2
7. 15-17: Width 2. Adj Freq = (4/2)*1 = 2
Now draw the histogram with Age on x-axis and Adjusted Frequency on y-axis.
9. 100 surnames were randomly picked up from a local telephone directory and a frequency distribution of the number of letters in the English alphabet in the surnames was found as follows:
| Number of letters | Number of surnames |
|---|---|
| 1 - 4 | 6 |
| 4 - 6 | 30 |
| 6 - 8 | 44 |
| 8 - 12 | 16 |
| 12 - 20 | 4 |
(i) Draw a histogram to depict the given information.
The class widths vary: 3, 2, 2, 4, 8.
Minimum class width = 2.
Adjusted Frequencies:
1. 1-4: Width 3. Adj = (6/3)*2 = 4
2. 4-6: Width 2. Adj = (30/2)*2 = 30
3. 6-8: Width 2. Adj = (44/2)*2 = 44
4. 8-12: Width 4. Adj = (16/4)*2 = 8
5. 12-20: Width 8. Adj = (4/8)*2 = 1
Draw the histogram using these adjusted frequencies.
(ii) Write the class interval in which the maximum number of surnames lie.
From the table, the maximum frequency is 44.
This corresponds to the class interval 6 - 8.