Answers (Top Grade Assured) 2026
Update
Descriptive Statistics - Correct Answers ✅Summarizing
and describing data (population you work with ex. 80% of
population) (graphs, charts or rates)
- Ex. calculate average, mean, etc. (or creating graphs)
Inferential Statistics - Correct Answers ✅Draw conclusions
and make predictions about populations based on data (ex.
comparing p-values) (plot or table)
- Ex. test, hypothesis, comparisons
Sampling Process: Population of Interest - Correct Answers
✅The group the researcher wants to study and draw
conclusions about or inference about (interested in knowing
more about) (ex. nursing students)
Sampling Process: Statistical Population - Correct Answers
✅Pool of individuals from which a statistical sample is drawn
from (who could have been in your sample) (ex. nursing
students at queens)
Sampling Process: Observational Unit - Correct Answers
✅The levels to which you are collecting data and will make
inferences (often individual people)
, NURS 323 Midterm Questions and
Answers (Top Grade Assured) 2026
Update
Sampling Process: Sampling Unit - Correct Answers ✅The
levels to which the sampling of observation occurs (hospital)
(ex. observation)
Sampling Process: Sample - Correct Answers ✅Collection
of selected sampling units (ex. individual student)
Sampling Process: Measurement Variable - Correct Answers
✅The type of data you are collecting
Sampling Process: Measurement Unit - Correct Answers
✅The scale of the measurement variable
Why sample? - Correct Answers ✅- Capture data on
everyone in the population of interest is considered a census
- Can create a smaller subset on which to collect data that is
representative of the larger population
Study Design ad Sampling Approaches: Four Sampling Goals -
Correct Answers ✅1. All sampling units are SELECTABLE:
All sampling units in a statistical population must have a non-
zero probability of being in your sample
2. Selection is UNBIASED: Ensure that the selection of
sampling units is unbiased so that your sample is
representative of the larger statistical population