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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 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-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.- 8
Question
Let XXX be a Poisson variate with parameter λ\lambdaλ such that
P(X = 2) = 2P(X = 4) + 20P(X = 6)
What is the coefficient of skewness?
Options:
(a) 1/√3(b) 1(c) 1/2(d) −1/√3
Shivani Rana
Mar 292 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-2 SOLUTION SET-A Q.NO. 7
Which of the following statements are correct about the generalized inverse of a matrix A?
A generalized inverse of a matrix is defined as
A A⁻ A = A
A generalized inverse is not unique.
A matrix to have a generalized inverse must be non-singular.
A matrix to have a generalized inverse may be either a square matrix or a rectangular matrix.
Select the correct answer using the code given below:
Shivani Rana
Mar 282 min read


Understanding Non-Probability Sampling: Risks and Benefits
What Is Non-Probability Sampling? Non-probability sampling refers to sampling techniques where not every member of the population has a known or equal chance of being selected. Unlike probability sampling, which relies on random selection, non-probability methods depend on the researcher's judgment or convenience. Common types of non-probability sampling include: Convenience Sampling : Selecting participants who are easiest to reach. Judgmental or Purposive Sampling : Choosin
Sunrise Classes
Dec 25, 20253 min read
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