Answer:
The corresponding items are the items in the population that correspond to the indices generated by the random number generator or selected through simple random sampling. For example, if you generate the numbers 14, 32, 67, and 103 as your random numbers, the corresponding items would be the 14th item, the 32nd item, the 67th item, and the 103rd item in the population.
It is important to note that, Simple Random Sampling ensures that each item in the population has an equal chance of being selected, which is a key characteristic of random sampling. Additionally, each sample of size k items is independently and randomly selected from the population, which is what makes it simple random sampling.
Step-by-step explanation:
Given a population of 200 Items select A sample of size 40 Using a random start of 4
To select a sample of size 40 from a population of 200 items using a random start of 4, you can use a random number generator to generate a list of 40 unique random numbers between 4 and 203 (inclusive), and then use those numbers as indices to select the corresponding items from the population.
Alternatively, you can use a sampling method called simple random sampling. The process of simple random sampling is to randomly select a sample of k items from a population of n items. You can use a random number generator or a random number table to randomly select k numbers between 1 and n, with replacement, and use those numbers as indices to select the corresponding items from the population.