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There are 6% defective items in a large bulk of item. Find the probability that sample of 8 items will include not more than one defective items.

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The correct Answer is:
`((46)/(50))^(7) xx ((71)/(50))`

`p=(6)/(100) =(3)/(50) ,q=(1-(3)/(50)) =(47)/(50)" and " n=8`
` P(X=r) =.^(n)C_(r ) .p^(r ).q^((n-r)) =.^(8)C_(r ) .((3)/(50))^( r) .((47)/(50))^((8-r))`
Required probability =P( 0 defective or 1 defective )
`=P(X=0) + P(X=1)`
` =.^(8)C_(0).((47)/(50))^(8)+.^(8)C_(1).((3)/(50))((47)/(50))^(7)`
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RS AGGARWAL-PROBABILITY DISTRIBUTION-Exercise 32
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  7. Assume that on an average one telephone number out of 15 , calle...

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  8. There cars participate in a race . The probability that any one ...

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  9. Past records show that 80% of the operations performed by a cert...

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  10. The probability of a man hitting man hitting target is 0.25. If he sho...

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  11. एक बाधा दौड़ में एक प्रतियोगी को 10 बाधाएं पार करनी है इसकी प्रायिकता क...

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  12. A man can hit a bird once in 3 shots . On this assumption he fi...

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  13. If the probability that a man aged 60 will live to be 70 is 0.65...

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  14. A bag contains 5 white 7 red and 8 black balls. If four balls ...

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  15. A plicement fires 6 bullets at a burglar. The probability that...

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  16. A die is tossed thrice . A success I is or 6 on a toss. Find t...

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  17. A die is thrown 100 times. Getting an even number is considered a...

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  18. If the mean and variance of a binomial distribution are respectivel...

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  19. find the binomal distribution whose mean is 5 and variance is 2...

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  20. The mean and variance of a binomial distribution are 4 and 4/3 resp...

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