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Question

A box contains 10 screws, three of which are defective. If two screws are drawn at random without replacement, then what is the probability that neither of the two screws is defective?

The correct answer is
14/30

Probability Calculation: Non-Defective Screws

This problem involves calculating the probability of selecting two non-defective screws sequentially without replacement from a given set.

  • Total number of screws = 10
  • Number of defective screws = 3
  • Number of non-defective screws = 10 - 3 = 7

Step-by-Step Probability Calculation

  1. First Draw Probability: Calculate the probability that the first screw selected is non-defective.

    There are 7 non-defective screws out of a total of 10 screws.

    $ P(\text{1st screw is non-defective}) = \frac{\text{Number of non-defective screws}}{\text{Total screws}} = \frac{7}{10} $

  2. Second Draw Probability: Calculate the probability that the second screw selected is also non-defective, given the first was non-defective. Since the draw is without replacement, there are now 9 screws remaining, and 6 of them are non-defective.

    $ P(\text{2nd screw is non-defective} | \text{1st was non-defective}) = \frac{\text{Remaining non-defective screws}}{\text{Remaining total screws}} = \frac{6}{9} $

  3. Combined Probability: The probability that both screws are non-defective is the product of the probabilities calculated in the previous steps.

    $ P(\text{Neither screw is defective}) = P(\text{1st non-defective}) \times P(\text{2nd non-defective} | \text{1st non-defective}) $

    $ P(\text{Neither screw is defective}) = \frac{7}{10} \times \frac{6}{9} = \frac{42}{90} $

  4. Simplification: Simplify the final fraction. The greatest common divisor of 42 and 90 is 6.

    $ \frac{42}{90} = \frac{42 \div 6}{90 \div 6} = \frac{7}{15} $

    The fraction $\frac{7}{15}$ is equivalent to $\frac{14}{30}$.

The probability that neither of the two screws drawn is defective is $\frac{7}{15}$, which matches the option $\frac{14}{30}$.

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Important Questions from Basics of Probability

  1. If the data are skewed, which option of central tendency measure is the most unreliable indicator?

  2. In a negatively skewed distribution

  3. If the distribution is negatively skewed, then the:

  4. The first four moments about the mean of distribution are 0, μ 2, 0.7 and 18.75. If the distribution is mesokurtic, the value of μ 2, is

  5. If Mean > Median > Mode, the distribution is:

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