## The conditional probability P (A\B) is: (STA301)

P(A n B)/P(B)  P(A n B)/P(A) P(A U B)/P(B) P(A U B)/P(A)

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## The probability can never be: (STA301)

1 1/2 1 -1/2

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## The number of parameters in uniform distribution is (are): (STA301)

1 2 3 4

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## If b(x, 7, 0.30), the variance of this distribution is: (STA301)

1.77 1.74 1.44 1.47

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## As a rule of thumb, when n>=30, then we can assume that………is normally distributed: (STA301)

Probability distribution Sampling distribution Binomial distribution Sampling distribution of sample mean

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## If a random variable X denotes the number of heads when we toss a fair coin 5 times, the X assumed the values: (STA301)

0,1,2,3 1, 2,3,4,5 0, 1, 2,3,4,5 1, 5, 5

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## The normal distribution has points of infection which are equidistance from the: (STA301)

Median Mean Mode Mean,Median & Mode

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## Which of the following is NOT applicable to a Poisson distribution? (STA301)

IF P = 0.5 & n = 19 IF P = 0.01 & n = 200 IF P = 0.02 & n = 300 IF P = 0.03 & n = 500

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## If p is very small and n is considerably large then we shall apply the: (sta301)

Binomial distribution Hypergeometric distribution Poisson distribution Exponential distribution

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## E(10X +3) =_______ (sta301)

10 E(X) E(X)+3 10 E(X)+3 100E(X)

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