This problem involves calculating the probability of selecting two non-defective screws sequentially without replacement from a given set.
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} $
$ 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} $
$ 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} $
$ \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 $\frac{14}{30}$.
If the data are skewed, which option of central tendency measure is the most unreliable indicator?
In a negatively skewed distribution
If the distribution is negatively skewed, then the:
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
If Mean > Median > Mode, the distribution is: