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What do you understand by tax havens? Explain how they promote corruption in India.
What do you understand by tax havens? Explain how they promote corruption in India.
Sunrise Classes
Apr 42 min read


ISS PREVIOUS YEAR 2016 PAPER-1 SET-A Q.no.- 13
ISS PREVIOUS YEAR 2016 PAPER-1 SET-A The lifetime of a bulb follows an exponential distribution with mean 100 hours. The bulb is switched on for exactly 4 hours every day and remains switched off for the remaining time.
What is the probability that the bulb stops working on or before the 25th day?
Options:
(a) (1 − e⁻¹) / (1 − e⁻¹⁄²⁵) (b) 1 − e⁻¹⁄²⁵ (c) 1 − e⁻¹ (d) e⁻¹
SWETA
Apr 42 min read


ISS PREVIOUS YEAR 2016 PAPER-2 SOLUTION SET-A Q.NO. 13
ISS PREVIOUS YEAR 2016 PAPER-2 SOLUTION SET-A A company used three different methods to train its employees. The number of units of output produced by different employees trained by the three training methods are given below:
Method A: 50, 45, 55, 44Method B: 64, 48, 52, 56, 44Method C: 46, 42, 48, 45, 57, 42
The estimate of the population variance within the samples for the different methods is:
(a) 25.67 (b) 31.07 (c) 38.646 (d) 39.097
SWETA
Apr 42 min read


Explain the reasons for political turmoil among middle-level castes in recent times seeking OBC reservations in India.
Explain the reasons for political turmoil among middle-level castes in recent times seeking OBC reservations in India.
SWETA
Apr 32 min read


ISS PREVIOUS YEAR 2016 PAPER-1 SET-A Q.no.- 12
ISS PREVIOUS YEAR 2016 PAPER-1 SET-A To compare the lifetimes of bulbs produced by two companies A and B, one bulb from each company was selected at random and their lifetimes were observed.
Assume that the lifetimes follow exponential distributions with:
Mean(A) = 1000 daysMean(B) = 800 days
What is the probability that the bulb from company B fails before the bulb from company A?
Options: (a) 4/9 (b) 5/9 (c) 25/81 (d) 25/41
SWETA
Apr 31 min read


ISS PREVIOUS YEAR 2016 PAPER-2 SOLUTION SET-A Q.NO. 12
ISS PREVIOUS YEAR 2016 PAPER-2 SOLUTION A company used three different methods to train its employees. The number of units of output produced by different employees trained by the three training methods are given below:
Method A: 50, 45, 55, 44
Method B: 64, 48, 52, 56, 44
Method C: 46, 42, 48, 45, 57, 42
The estimate of the population variance on the basis of the variance among the sample means for the above methods is:
SWETA
Apr 32 min read


ISS PREVIOUS YEAR GS 2016
What are the differences between Himalayan rivers and Peninsular rivers? Discuss.
SWETA
Apr 11 min read


ISS PREVIOUS YEAR 2016 PAPER-2 SOLUTION SET-A Q.NO. 11
ISS PREVIOUS YEAR 2016 PAPER-2 SOLUTION SET-A
SWETA
Apr 13 min read


ISS PREVIOUS YEAR 2016 PAPER-1 SET-A Q.no.- 11
ISS PREVIOUS YEAR 2016 PAPER-1 SET-A 10 balls are placed in 10 boxes independently and uniformly at random. Initially, all boxes are empty.
What is the expected number of boxes that remain empty?
SWETA
Apr 11 min read


ISS Online Recording Classes: Prepare from Home with Expert Guidance
Preparing for competitive exams like Indian Statistical Service (ISS) requires dedication, the right strategy, and expert guidance. With the advancement of digital learning, students can now prepare effectively from the comfort of their homes. ISS Online Recording Classes provide a flexible and result-oriented approach to mastering statistics.
Shivani Rana
Mar 312 min read


Sources of Official Data in India: A Complete Overview
In a data-driven world, reliable and authentic data plays a crucial role in policy-making, research, and economic planning. India has a well-structured statistical system supported by various government institutions that generate official data across sectors like population, economy, labor , and development.
Shivani Rana
Mar 312 min read


ISS PREVIOUS YEAR GS 2016 Q.NO. 2(d)
Changing Scenario of Pulses Cultivation and Production in India
Shivani Rana
Mar 311 min read


ISS PREVIOUS YEAR 2016 PAPER-2 SOLUTION SET-A Q.NO. 10
Which of the following statements are correct in order to obtain the hypothesis H0:β1=0H_0: \beta_1 = 0H0:β1=0 for the modelyi=β0+β1xi+εiy_i = \beta_0 + \beta_1 x_i + \varepsilon_iyi=β0+β1xi+εi ?
Shivani Rana
Mar 311 min read


ISS PREVIOUS YEAR 2016 PAPER-1 SET-A Q.no.- 10
A simple random sample of size 10 is selected with replacement from a population of size 100. What is the expected number of unique elements in the sample?
Options:(a) 100 × (99/100)¹⁰(b) 100 × [1 − (99/100)¹⁰](c) 100 × (9/10)¹⁰(d) 100 × (1 − 99/100)¹⁰
Shivani Rana
Mar 311 min read


ISS PREVIOUS YEAR 2016 PAPER-2 SOLUTION SET-A Q.NO. 9
For a simple linear regression modely=β0+β1x+εy = \beta_0 + \beta_1 x + \varepsilony=β0+β1x+ε,consider the following statements where β^0\hat{\beta}_0β^0 and β^1\hat{\beta}_1β^1 are estimates of β0\beta_0β0 and β1\beta_1β1:
Shivani Rana
Mar 301 min read


ISS PREVIOUS YEAR GS 2016 Q.NO. 2(c) isspreviousyeargs2016q-no-2-c
Discuss the impact of Information Technology in the Industrial Revolution of India.
Shivani Rana
Mar 302 min read


ISS PREVIOUS YEAR 2016 PAPER-1 SET-A Q.no.- 9
Let XXX be a random variable with probability generating functionP(s)=∑kpkskP(s) = \sum_{k} p_k s^kP(s)=∑kpksk.
Find the probability generating function of Y=2XY = 2XY=2X.
Shivani Rana
Mar 301 min read


ISS PREVIOUS YEAR 2016 PAPER-2 SOLUTION SET-A Q.NO. 8
Question:Which of the following statements are associated with residuals of a regression model?
The sum of the residuals in any regression model that contains an intercept is always zero.
The sum of the observed values yiy_iyi is not equal to the sum of the fitted values y^i\hat{y}_iy^i.
The sum of the residuals weighted by the corresponding regressor variable is zero.
The sum of the residuals weighted by the corresponding fitted values is zero.
Select the c
Shivani Rana
Mar 292 min read


ISS PREVIOUS YEAR 2016 PAPER-1 SET-A Q.no.- 7
Let the random variable X have the distribution:
P(X = 0) = P(X = 3) = p P(X = 1) = 1 − 3p P(X = 2) = p
where
0 ≤ p ≤ 1/2
Find the maximum value of V(X).
Shivani Rana
Mar 282 min read


ISS PREVIOUS YEAR GS 2016 Q.NO. 2(a)
What is Polar Shifting? Discuss its geographic significance with regard to catastrophic consequences on humanity.
Shivani Rana
Mar 282 min read
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