SSC CGL Tier-2 14th September 2018 Statistics
For the following questions answer them individually
Second differencing in time series can help to eliminate which trend?
(I) Quadratic trend
(II) Linear trend
A, B, and C are three mutually exclusive and exhaustive events associated with a random experiment. If $$P(B) = \frac{3}{2}P(A)$$ and $$P(C) = \frac{1}{2}P(B)$$ then value of $$P(A)$$Â is:
If Laspeyres price index of a commodity is 208 and Passche’s price index of the same commodity is 52, the value of Fisher index number will be:
Following two statements are related to regression coefficient
(1) Independentof the changeoforigin
(II) Independentof the changeofscale
For the recorded observation, the coefficient of variation is 0.2 and the variance is 16. The arithmetic mean is:
If X has Binomial distribution with parameters $$n$$ and $$p$$ such that $$np = \lambda$$ then $$\lim_{n \rightarrow \propto}b(x, n, p);x = 0, 1, 2, ....$$ is equal to:
The given table shows ANOVA two-way classification to test two types of cloths in fashion trends.
The respective values (correct to two decimal places) of $$(\alpha, \beta, \gamma)$$ are:
