In this question, you should state the parameters of any distributions that you use.
A stationery factory manufactures pens for sale. The diameters (in mm) of the pens have distribution \(\mathrm{N}\left( \mathrm{10,0}\mathrm{.003} \right)\). The pens are packed in sets of \(24\) into a box. Within the box, the pens are laid out side by side. The widths of the boxes (in mm) are normally distributed with mean \(\mathrm{240}\mathrm{.5}\)mm and variance \(\mathrm{0}\mathrm{.02}\)mm\(^{2}\).
A pen is considered “defective” if its diameter is not within \(0.1\) mm of the population mean.
Pens are produced and inspected in batches. For each batch, a sample of \(12\) pens is randomly selected and checked.
• If there are fewer than \(2\) defective pens in this sample of \(12\), the batch passes the inspection.
• If there are exactly \(2\) defective pens in this sample, a second sample of \(12\) pens is randomly selected and checked. If there are no defective pens in the second sample, the batch passes the inspection.
• Otherwise, the batch does not pass the inspection.
The factory also manufactures and packs pencils and crayons in boxes of \(12\) each. During a promotion period, special pencils and special crayons are produced and randomly included in some boxes. The number of special pencils in a box of pencils has distribution \(\mathrm{B}\left( 12,0.07 \right)\), while the number of special crayons in a box of crayons has distribution \(\mathrm{B}\left( \mathrm{12, 0}\mathrm{.06} \right)\).
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