Porisma

Review practice · Section 2 of 3

Questions 7–12 in this collection

Carry a rare cap-defect tail into a box-level distribution · Carry an underweight-chocolate event into a box count · +4 more

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  1. 7

    In a factory, a machine automatically cuts out metal caps. It is given that 0.5% of the caps are dented. Find the probability that out of 200 caps, at least 4 are dented.

    A box containing 200 of such metal caps are analysed. The box is considered ‘substandard’ if it contains at least 4 dented caps. Calculate the probability that at most 6 out of 300 boxes will be ‘substandard’. marks

    [2009/SRJC/II/8(modified)]

    CJC · Review Problems · Question 7

  2. 8

    A factory produces chocolate which are packed into boxes of 20 and delivered to shops for sale. A chocolate will not meet the minimum criteria for packing for sale if it weighs less than 20 grams. On average, 2% of the chocolate produced did not meet the minimum criteria.

    (i) Find the probability that a randomly chosen box contain at least 1 chocolate that does not meet the minimum criteria. marks

    (ii) Find the probability that out of 4 randomly chosen boxes of chocolate, there are exactly 2 boxes with at least 1 chocolate that does not meet the minimum criteria. marks

    [2007/TPJC/II/5]

    CJC · Review Problems · Question 8

  3. 9

    It may be assumed that the dates of birth in a large population are distributed throughout the year so that the probability of a randomly chosen person’s date of birth being in any particular month may be taken as 112\dfrac1{12}.

    (i) Find the probability that, of 6 people chosen at random, exactly 2 will have birthdays in January. marks

    (ii) Find the probability that, of 8 people chosen at random, at least one will have a birthday in January. marks

    (iii) NN people are chosen at random. Find the least value of NN such that the probability that at least one will have a birthday in January exceeds 0.9. marks

    (iv) Find the probability that, of 100 people chosen at random, at least 40 will have birthdays in May, June, July or Agusut. marks

    [J84/I/12]

    CJC · Review Problems · Question 9

  4. 10

    Temasek Bakery produces a large number of “lucky” cookies during the festive season. p%p\% of these cookies contains a winning slip. The cookies are sold by packets. Each packet consists of 8 randomly chosen cookies and the mean number of cookies with a winning slip per packet is 3.2.

    (i) Find the probability that a randomly chosen packet contains at most 4 cookies with a winning slip. marks

    (ii) Anand buys 12 packets of cookies. Find the probability that there are more than 10 packets that contain at most 4 cookies with a winning slip. marks

    (iii) Beng decides to buy nn packets of cookies. Find the least value of nn such that the probability that there is at least one packet that contain exactly 4 cookies with a winning slip is more than 0.90. marks

    [2017/TJC/MYE/II/5]

    CJC · Review Problems · Question 10

  5. 11

    According to the school rules, a student who arrives at school after 0730 hours is considered late.

    (i) During the school term, a boy cycles to school on 5 days each week. On any given day, the probability that he arrives after 0730 hours is 0.1. For a period of 4 weeks, calculate the probability that he is late on at least one day but not more than 3 days. marks

    When the boy has cycled to school for the nnth time, the probability that he arrived at school late at least once is greater than 0.99. Calculate the least value of nn. marks

    (ii) A girl travels to school by bus on 5 days a week. Over a long period of time, the variance of the number of days per week on which she is late is 0.8. Given that pp denotes the probability that she arrives late and that p<0.5p<0.5, evaluate pp. marks

    [2007/SRJC/II/10(a)]

    CJC · Review Problems · Question 11

  6. 12

    Samples, each of 12 articles, are taken at random from a large consignment in which 25% of articles are defective.

    Find the number of defective articles which is most likely to occur in a single sample, and find the probability of obtaining this number.

    If 100 samples of 12 articles are to be examined, calculate the number of samples in which you would expect to find 4 or more defective articles.

    CJC · Review Problems · Question 12

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