Describe how a random sample of 50 doctors may be drawn from the lists of all doctors at St. Lukes Hospital?
Answers
Answer:
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Explanation:
A random sample is a sample that is chosen randomly. It could be more accurately called a randomly chosen sample. Random samples are used to avoid bias and other unwanted effects. Of course, it isn’t quite as simple as it seems: choosing a random sample isn’t as simple as just picking 100 people from 10,000 people. You have to be sure that your random sample is truly random!
Answer:
To find out the random sample of 50 doctors may be drawn from the list of all doctors at St. Luke's Hospital, we can use the following steps:
- Obtain a list of all the doctors at St. Luke's Hospital.
- Assign a number to each doctor on the list, starting with 1 and ending with the total number of doctors on the list.
- Use a random number generator to select 50 numbers between 1 and the total number of doctors on the list. This will give us a list of 50 randomly selected numbers.
- Identify the doctors on the original list who correspond to the randomly selected numbers. These are the doctors who will be included in the random sample.
- Alternatively, if the original list of doctors is in electronic form, we can use software to generate a random sample of 50 doctors directly from the list. Most statistical software packages have a function that can randomly select a subset of data from a larger dataset.
It is important to ensure that the random sample is truly representative of the population of doctors at St. Luke's Hospital. This means that the sample should be selected in a way that avoids any bias or systematic error. For example, we should ensure that the list of doctors is complete and up-to-date and that all doctors have an equal chance of being selected for the sample.
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