Question

A store gets a shipment of 1000 light bulbs. Due to a manufacturing problem, 200 of the bulbs are defective, but the store's manager is not aware of this. As she always does, however, the manager will check a sample of the bulbs to look for potential problems. How can she choose a sample of the bulbs to represent the shipment?

Answer 1

Use a simple random sampling technique.

Explanation:

Sampling is a procedure applied in statistical analysis where a fixed number of data (observations or individuals) are selected from a superior population. The approach used to select a sample from a population is determined on the basis of the type of analysis being executed.

To test for defective bulbs the store manager has to select a sample. She can select a sample of size n from the 1000 bulbs using the simple random sampling technique.

A simple random sample is a part of a statistical population in which every individual of the population has an equal probability of being selected.

Assigning each individual of the population a unique number and using a computer or random number generator for selection is a procedure to select a simple random sample.