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From Statement I. Some Drivers are Trams (I) + Some Trams are Conductors (I) → Probable conclusion → All Drivers can be Conductors (A). Hence conclusion I follows. Only Conductors are Cars → All Cars are Conductors and Cars cannot have positive relation with anyone. Hence conclusion II does not follow but conclusion III follows. From Statement II. All Drivers are Cars (A) + [All Conductors are Cars (A) → Conversion → Some Cars are Conductors (I) → Probable conclusion → All Drivers can be Conductors (A). Hence conclusion I follows. Some Tractors are Conductors (I) + All Conductors are Cars (A) → Some Tractors are Cars (I). Hence conclusion II follows. No driver is a Tram (E) → Conversion → No Tram is a Driver (E) + All Drivers are Cars (A) → Some Cars are not Tram (O*). Hence conclusion III follows. From Statement III. Some Drivers are Conductors (I) → Probable conclusion → All Drivers can be Conductors (A). Hence conclusion I follows. All Cars are Tractors (A) → Conversion → Some Tractors are Cars (I) Hence conclusion II follows. All Cars are Tractors (A) + Only a few Tractors are Trams (I) → No conclusion. Hence conclusion III does not follow. From Statement IV. All Conductors are Cars (A) + All Cars are Tractors (A) → All Conductors are Tractors (A) + All Tractors are Trams (A) → All Conductors are Trams (A) + No Tram is a Driver (E) → No Conductor is a Driver (E). Hence conclusion I does not follow. All Cars are Tractors (A) → Conversion → Some Tractors are Cars (I) Hence conclusion II follows. All Cars are Tractors (A) + All Tractors are Trams (A) → All Cars are Trams (A). Hence conclusion III does not follow.
If the population kurtosis of the observations 16,12,6,2,4,10 is 1.7414, then population kurtosis of the 8,6,3,1,2,5 is
For the random variable X with probability density function f(x) = (x−3)2 /5; x = 3, 4, 5, the variance of X is:
For ANOVA table
the F - statistics is:
If Z follows standard normal distribution with mean 0 and variance 1, then Z2 follows:
If the third quartile of the following data set 7,10,7,8,9 is 9.5, then the value of quartile deviation is:
Two random variables X and Y are said to be independent if:
Identify, from the following, the moment used as a measure of skewness?
The 95% confidence interval of average age of accidents in any city during last year for a sample of size 100 with mean age 34.25 from population of st...