Probability and Statistics Questions and Answers – Probability Distributions – 2

This set of Probability and Statistics Problems focuses on “Probability Distributions – 2”.

1. If the values taken by a random variable are negative, the negative values will have ___________
a) Positive probability
b) Negative Probability
c) May have negative or positive probabilities
d) Insufficient data
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2. If f(x) is a probability density function of a continuous random variable, then \(\int_{-∞}^∞\)f(x)=?
a) 0
b) 1
c) undefined
d) Insufficient data
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3. The variable that assigns a real number value to an event in a sample space is called ___________
a) Random variable
b) Defined variable
c) Uncertain variable
d) Static variable
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4. A random variable that assumes a finite or a countably infinite number of values is called ___________
a) Continuous random variable
b) Discrete random variable
c) Irregular random variable
d) Uncertain random variable
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5. A random variable that assume a infinite or a uncountably infinite number of values is called ___________
a) Continuous random variable
b) Discrete random variable
c) Irregular random variable
d) Uncertain random variable
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6. If Σ P(x) = k² – 8 then, the value of k is?
a) 0
b) 1
c) 3
d) Insufficient data
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7. If P(x) = 0.5 and x = 4, then E(x) = ?
a) 1
b) 0.5
c) 4
d) 2
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8. In a discrete probability distribution, the sum of all probabilities is always?
a) 0
b) Infinite
c) 1
d) Undefined
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9. The expected value of a random variable is its ___________
a) Mean
b) Standard Deviation
c) Mean Deviation
d) Variance
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10. The covariance of two independent random variable is ___________
a) 1
b) 0
c) – 1
d) Undefined
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11. The weight of persons in a state is a ___________
a) Continuous random variable
b) Discrete random variable
c) Irregular random variable
d) Not a random variable
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12. In random experiment, observations of random variable are classified as ___________
a) Events
b) Composition
c) Trials
d) Functions
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