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Money
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The Economy of Maharashtra
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Rural Development in India
Population in India
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Unemployment in India
- Concept of Unemployment
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- Rural Unemployment
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- Extent of Unemployment in India
- State-Wise Unemployment Rates in India
- Causes of Unemployment
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- Effects of Unemployment
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Poverty in India
- Concept of Poverty in India
- Prof. Amartya Sen’s Views on Poverty
- Multi-dimensional Poverty
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- Sustainable Development Goals
- Understanding Maharashtra’s Tri Colour Family Ration Cards
- Eradication of Poverty
- Poverty Alleviation Programmes and Their Target Sectors
- Tracking Anti-Poverty Efforts
Economic Policy of India since 1991
- Economic Transition of India
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- Public Bank Vs Private Banks Vs Foreign Banks
- Components of New Economic Policy
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Economic Planning in India
- India’s Planning Commission
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- Five Year Plans (FYP)
- 12th Five Year Plan (2012-2017)
- Levels of National Family Health Survey (NFHS)
- NITI Aayog (National Institution for Transforming India)
- Planning Commission VS NITI Aayog
- Example of Individual Data
- Example of Discrete Data
- Example of Continuous Data
Example of Individual Data
Example 1
1) Find \[\mathbf{P}_{40}\] for the following data.
10, 15, 8, 16, 19, 11, 12, 14, 9
Solution: Arrange the data in ascending order i.e. 8, 9, 10, 11, 12, 14, 15, 16, 19
n = 9
\[\mathrm{P}_{40}=\text{size of }40\left(\frac{n+1}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{40}=\text{size of }40\left(\frac{9+1}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{40}=\text{size of }40\left(\frac{10}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{40}=\mathrm{size~of}\left(\frac{40\times10}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{40}=\mathrm{size~of}\left(\frac{400}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{40}=\mathrm{size~of}4^{\text{th Observation}}\]
\[\mathrm{P}_{40}=\mathrm{size~of}4^{\text{th Observation}}\] is 11
\[\therefore\mathbf{P}_{40}=11\]
\[\boxed{\quad\mathbf{Ans}:\mathbf{P}_{40}=11}\]
Example 2
2) Calculate \[\mathbf{P}_{85}\] from the following data.
79, 82, 36, 38, 51, 72, 68, 70, 64, 63
Solution: Arrange the data in ascending order i.e. 36, 38, 51, 63, 64, 68, 70 72, 79, 82
n = 10
\[\mathrm{P}_{_{85}}=\text{size of 85}\left(\frac{n+1}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{_{85}}=\text{size of 85}\left(\frac{10+1}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{_{85}}=\text{size of 85}\left(\frac{11}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{85}=\mathrm{size~of}(85\times0.11)^{\text{th Observation}}\]
\[\mathrm{P}_{85}=\mathrm{size~of}(9.35)^{\text{th Observation}}\]
\[\mathrm{P}_{85}=\mathrm{size~of~}9^{\text{th Observation}}\]+ 0.35\[(10^\text{th observation}{-9^{\text{th observation}}})\]
\[\mathrm{P}_{85}=79+0.35(82-79)\]
\[\mathrm{P}_{85}=79+0.35\times3\]
\[\mathbf{P}_{85}=79+1.05\]
\[\therefore\mathbf{P}_{85}=80.05\]
\[\boxed{\quad\mathrm{Ans:P}_{85}=80.05}\]
Example of Discrete Data
1) Find out \[\mathbf{P}_{20}\] and \[\mathbf{P}_{60}\] for the following data:
| Height (in inches) | 58 | 59 | 60 | 61 | 62 | 63 | 64 |
|---|---|---|---|---|---|---|---|
| No. of persons | 4 | 5 | 6 | 10 | 12 | 2 | 1 |
Solution: Arrange the data in ascending order.
| Height (in inches) | No. of persons (f) | Cumulative Frequency (cf) |
|---|---|---|
| 58 | 4 | 4 |
| 59 | 5 | 9 |
| 60 | 6 | 15 |
| 61 | 10 | 25 |
| 62 | 12 | 37 |
| 63 | 2 | 39 |
| 64 | 1 | 40 |
| n = 40 |
\[\mathrm{P}_{_{20}}=\text{size of 20}\left(\frac{n+1}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{_{20}}=\text{size of 20}\left(\frac{40+1}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{_{20}}=\text{size of 20}\left(\frac{41}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{20}=\mathrm{size~of}\left(\frac{20\times41}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{_{20}}=\mathrm{size~of}\left(\frac{820}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{_{60}}=\mathrm{size~of~8.2^{th~Observation}}\]
\[\mathrm{P}_{_{60}}=\mathrm{size~of~8.2^{th~Observation}}\] lies in cf 9
Hence \[\mathbf{P}_{20}=59\]
\[\therefore\mathbf{P}_{20}=59\]
Calculation of \[\mathbf{P}_{60}\]
\[\mathrm{P}_{_{60}}=\text{size of 60}\left(\frac{n+1}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{_{60}}=\text{size of 60}\left(\frac{40+1}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{_{60}}=\text{size of 60}\left(\frac{41}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{60}=\mathrm{size~of}\left(\frac{60\times41}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{60}=\mathrm{size~of}\left(\frac{2460}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{_{60}}=\mathrm{size~of}\left(24.6\right)^{\text{th Observation}}\]
\[\mathrm{P}_{60}=\mathrm{size~of~24.6^{th~Observation}}\]
lies in cf 25
Hence \[\mathbf{P}_{60}=61\]
\[\therefore\mathbf{P}_{60}=61\]
\[\boxed{\quad\mathrm{Ans:P}_{20}=59,\mathrm{P}_{60}=61}\]
Example of Continuous Data
Apply the steps as mentioned in Quartiles of continuous data.
1) Find \[\mathbf{P}_{65}\] from the following data
| Marks | 0-5 | 5-10 | 10-15 | 15-20 | 20-25 |
|---|---|---|---|---|---|
| No. of Students | 3 | 7 | 20 | 12 | 8 |
Solution:
| Marks | No. of students (f) | Cumulative Frequency (cf) |
|---|---|---|
| 0-5 | 3 | 3 |
| 5-10 | 7 | 10 |
| 10-15 | 20 | 30 |
| 15-20 | 12 | 42 |
| 20-25 | 8 | 50 |
| n = 50 |
Step I
\[\mathrm{P}_{_{65}}=\mathrm{size~of}\left(\frac{65n}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{_{65}}=\mathrm{size~of}\left(\frac{65n}{100}\right)^{\text{th Observation}}\]
\[\mathrm{P}_{65}=\mathrm{size}\mathrm{of}\left(\frac{3250}{100}\right)^{\text{th Observation}}\]
\[P_{65}=size~of~32.5^{thObservation}\]
\[P_{65}=size~of~32.5^{thObservation}\] lies in cf 42
Hence, the percentile class is 15-20.
l =15 f = 12 cf = 30 n = 50 h = 5
Step II
\[\mathbf{P}_{65}=l+\left(\frac{\frac{65n}{100}-cf}{f}\right)\times h\]
\[\mathbf{P}_{65}=15+\left(\frac{\frac{65\times50}{100}-30}{12}\right)\times5\]
\[\mathrm{P}_{65}=15+\left(\frac{\frac{3250}{100}-30}{12}\right)\times5\]
\[\mathbf{P}_{65}=15+\left(\frac{32.5-30}{12}\right)\times5\]
\[\mathbf{P}_{65}=15+\left(\frac{2.5}{12}\right)\times5\]
\[\mathrm{P}_{65}=15+\left(\frac{2.5\times5}{12}\right)\]
\[\mathrm{P}_{65}=15+\left(\frac{12.5}{12}\right)\]
\[\mathrm{P}_{65}=15+1.04\]
\[\therefore\mathbf{P}_{65}=16.04\]
\[\boxed{\quad\mathrm{Ans:P}_{65}=16.04}\]
