Total Working Population=300,000
Rural and Urban Populations
Rural Population =48% of 300,000 =0.48 x 300,000 = 144,000
Urban Population=52% of 300,000 = 0.52 x 300,000 = 156,000
Self-Employed Workers
In rural areas: 56% of the rural population = 0.56 x 144,000 = 80,640
In urban areas: 40% of the urban population = 0.40 x 156,000 = 62,400
Difference in the Number of Self-Employed Worker = 80,640 - 62,400 = 18,240
Percentage Difference ={Difference}/{Self-employed in urban areas}x100
Percentage Difference ={18,240}/{62,400}x100=approx 29.23
The Correct Answer is option (A): 29.23
Urban working population = 52% of 3,00,000 = 156,000.
Rural working population = 48% of 3,00,000 = 144,000.
Ratio of urban to rural working population = 156000/144000 = 13 : 12.
The Correct Answer is option (C): 13:12
Total working population = 3,00,000.
Urban population after increase = 56% of 3,00,000 = 168,000.
Self-employed in urban areas = 40% of urban population = 40% ×168000 = 67200.
Thus, the number of self-employed people in urban areas is 67200
The Correct Answer is option (D): 67200
Regular salaried workers in urban areas = 48% of urban population = 48% × 168, 000 = 80, 640.
Regular salaried workers in rural areas = 12% of rural population = 12%×1, 44, 000 = 17, 280.
Total regular salaried workers = 80, 640 + 17, 280 = 92, 160.
The Correct Answer is option (C): 92160
Casual wage workers in urban areas = 12% of urban population = 12% × 168, 000 = 20, 160.
Regular salaried workers in rural areas = 12% of rural population = 12% × 1, 44, 000 = 17, 280.
Percentage of regular salaried employees in rural areas compared to casual wage workers in urban areas = 17,280/20,160 × 100 = 92.3%.
The Correct Answer is option (D): 92.3%
Total self-employed in rural areas = 60% of 3,00,000 = 1,80,000.
Total self-employed in urban areas = 40% of 3,00,000 = 1,20,000.
Ratio of rural self-employed to urban self-employed = 180000/120000 = 3 : 2
The Correct Answer is option (B):3:2
List-I | List-II |
---|---|
(A) Confidence level | (I) Percentage of all possible samples that can be expected to include the true population parameter |
(B) Significance level | (III) The probability of making a wrong decision when the null hypothesis is true |
(C) Confidence interval | (II) Range that could be expected to contain the population parameter of interest |
(D) Standard error | (IV) The standard deviation of the sampling distribution of a statistic |