Question

Consider the following experiment. You are one of 100 people enlisted to take part in a study to determine the percent of nurses in America with an R.N. (registered nurse) degree. You ask nurses if they have an R.N. degree. The nurses answer "yes" or "no." You then calculate the percentage of nurses with an R.N. degree. You give that percentage to your supervisor.

a. What type of distribution does the percentage of nurses with an R.N. degree follow?

b. Is this an example of a discrete or continuous distribution?

c. What is the parameter you are trying to estimate in this experiment?

d. How might the size of the sample affect the accuracy of your estimate?

Answer 1

a. The part of the experiment that will yield discrete data is when you ask nurses if they have an R.N. degree. b. The part of the experiment that will yield continuous data is when you calculate the percentage of nurses with an R.N. degree. c. The parameter you are trying to estimate in this experiment is the percentage of nurses in America with an R.N. degree. d. The size of the sample can affect the accuracy of your estimate.

Step-by-step explanation:

a. The part of the experiment that will yield discrete data is when you ask nurses if they have an R.N. degree. The possible answers are either 'yes' or 'no', which are distinct categories.

b. The part of the experiment that will yield continuous data is when you calculate the percentage of nurses with an R.N. degree. The percentage can take on any value between 0 and 100.

c. The parameter you are trying to estimate in this experiment is the percentage of nurses in America with an R.N. degree.

d. The size of the sample can affect the accuracy of your estimate. A larger sample size generally leads to a more accurate estimate, as it provides a better representation of the population. With a small sample size, the estimate may be more variable and less reliable.