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HSC Arts (English Medium) 12th Standard Board Exam - Maharashtra State Board Question Bank Solutions for Mathematics and Statistics

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Mathematics and Statistics
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Let X ~ B(10, 0.2). Find P(X = 1).

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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Let X ~ B(10, 0.2). Find P(X ≥ 1).

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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Let X ~ B(10, 0.2). Find P(X ≤ 8).

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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The probability that a bomb will hit a target is 0.8. Find the probability that out of 10 bombs dropped, exactly 2 will miss the target.

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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The probability that a mountain-bike travelling along a certain track will have a tyre burst is 0.05. Find the probability that among 17 riders: exactly one has a burst tyre

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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The probability that a mountain-bike travelling along a certain track will have a tyre burst is 0.05. Find the probability that among 17 riders: at most three have a burst tyre

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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The probability that a mountain-bike travelling along a certain track will have a tyre burst is 0.05. Find the probability that among 17 riders: two or more have burst tyre.

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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The probability that a lamp in a classroom will be burnt out is 0.3. Six such lamps are fitted in the class-room. If it is known that the classroom is unusable if the number of lamps burning in it is less than four, find the probability that the classroom cannot be used on a random occasion.

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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A lot of 100 items contain 10 defective items. Five items are selected at random from the lot and sent to the retail store. What is the probability that the store will receive at most one defective item?

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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State if the following is not the probability mass function of a random variable. Give reasons for your answer.

X 0 1 2
P(X) 0.4 0.4 0.2
[14] Probability Distributions
Chapter: [14] Probability Distributions
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A large chain retailer purchases a certain kind of electronic device from a manufacturer. The manufacturer indicates that the defective rate of the device is 3%. The inspector of the retailer picks 20 items from a shipment. What is the probability that the store will receive at most one defective item?

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
Concept: undefined >> undefined

State if the following is not the probability mass function of a random variable. Give reasons for your answer.

X 0 1 2 3 4
P(X) 0.1 0.5 0.2 − 0.1 0.2
[14] Probability Distributions
Chapter: [14] Probability Distributions
Concept: undefined >> undefined

State if the following is not the probability mass function of a random variable. Give reasons for your answer.

X 0 1 2
P(X) 0.1 0.6 0.3
[14] Probability Distributions
Chapter: [14] Probability Distributions
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An examination consists of 10 multiple choice questions, in each of which a candidate has to deduce which one of five suggested answers is correct. A completely unprepared student guesses each answer completely randomly. What is the probability that this student gets 8 or more questions correct? Draw the appropriate morals.

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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State if the following is not the probability mass function of a random variable. Give reasons for your answer

Z 3 2 1 0 −1
P(Z) 0.3 0.2 0.4 0 0.05
[14] Probability Distributions
Chapter: [14] Probability Distributions
Concept: undefined >> undefined

The probability that a machine will produce all bolts in a production run within specification is 0.998. A sample of 8 machines is taken at random. Calculate the probability that all 8 machines.

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
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The probability that a machine will produce all bolts in a production run within specification is 0.998. A sample of 8 machines is taken at random. Calculate the probability that 7 or 8 machines.

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
Concept: undefined >> undefined

State if the following is not the probability mass function of a random variable. Give reasons for your answer.

Y −1 0 1
P(Y) 0.6 0.1 0.2
[14] Probability Distributions
Chapter: [14] Probability Distributions
Concept: undefined >> undefined

The probability that a machine will produce all bolts in a production run within specification is 0.998. A sample of 8 machines is taken at random. Calculate the probability that at most 6 machines will produce all bolts within specification. 

[15] Binomial Distribution
Chapter: [15] Binomial Distribution
Concept: undefined >> undefined

State if the following is not the probability mass function of a random variable. Give reasons for your answer.

0 -1 -2
P(X) 0.3 0.4 0.3
[14] Probability Distributions
Chapter: [14] Probability Distributions
Concept: undefined >> undefined
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