Exercise
Form 15: Quality Control and Industrial Random Sampling
Explore how random sampling is applied in quality control and industrial settings. Learn how businesses use sample testing to evaluate product standards.
Questions
-
MultiChoice
A factory inspects a random sample of 200 light bulbs and finds 4 defective. Predict defects in a batch of 1,000 bulbs.
-
MultiChoice
A quality control manager tests 50 batteries and finds 3 defective. Estimate defective batteries in a shipment of 1,000.
-
MultiChoice
In a random inspection of 500 computer chips, 15 are flawed. Predict total flawed chips in a batch of 5,000.
-
MultiChoice
Which quality control sampling strategy ensures a representative assessment of factory output?
-
MultiChoice
A beverage company samples 400 glass bottles and finds 2 cracked. Estimate cracked bottles in a production run of 5,000.
-
MultiChoice
A toy manufacturer checks 100 random toys and finds 6 are undersized. Estimate undersized toys in a lot of 500.
-
MultiChoice
A sample of 250 metal bolts contains 5 defective bolts. What is the estimated percentage of non-defective bolts in the population?
-
MultiChoice
In a random sample of 300 paint cans, 6 have leaks. How many leaking cans are predicted in a shipment of 2,000?
-
MultiChoice
Why do manufacturers rely on random sampling rather than testing every single product?
-
MultiChoice
A garment factory tests 50 shirts and finds 2 with stitching defects. Predict total defective shirts in a batch of 400.
-
MultiChoice
A shipping company inspects 80 boxes and finds 4 damaged. Estimate damaged boxes in a shipment of 2,400.
-
MultiChoice
A food processor checks 200 bags of chips and finds 1 unsealed. Predict unsealed bags in a batch of 2,000.