Step 1 :The population in a statistical study is the entire group that you want to draw conclusions about. The sample is the specific group that you will collect data from. In this case, the population would be all the full-time nurses at the hospital, since Kira wants to draw conclusions about this group. The sample would be the 12 nurses that Kira polled, since this is the group she collected data from.
Step 2 :A parameter is a number that describes a population, while a statistic is a number that describes a sample. The 77 nurses who are married among all the full-time nurses at the hospital would be a parameter, since it describes a characteristic of the entire population of full-time nurses.
Step 3 :The 61% of all the full-time nurses at the hospital who prefer a four-day work schedule would also be a parameter, since it describes a characteristic of the entire population of full-time nurses.
Step 4 :The average of 5.5 sick days per year taken among the randomly chosen nurses would be a statistic, since it describes a characteristic of the sample of 12 nurses that Kira polled.
Step 5 :Final Answer: Population: All full-time nurses at the hospital Sample: The 12 nurses that Kira polled \begin{tabular}{|l|c|c|} \hline Number & Parameter & Statistic \\ \hline The 77 nurses who are married among all the full-time nurses at the hospital & 1 & 0 \\ \hline The $61 \%$ of all the full-time nurses at the hospital who prefer a four-day work schedule & 1 & 0 \\ \hline The average of 5.5 sick days per year taken among the randomly chosen nurses & 0 & 1 \\ \hline \end{tabular}