The document defines key terms related to populations and samples, including that a population is the total set of measurements of interest while a sample is a subset of the population. It also defines target population, sampling unit, sampling frame, and sampling scheme. The document is divided into 5 sections and provides formulas for calculating sample size for quantitative and qualitative samples based on desired confidence level, margin of error, variance, and proportions.

2. Population: A set
which includes all
measurements of
interest to the
researcher (The
collection of all
responses,
measurement, or
counts that are of
interest)
Sample: A subset of
the population

4. Target Population: The
population to be studied/ to
which the investigator wants to
generalize his results
Sampling Unit: Smallest unit
from which sample can be
selected
Sampling Frame: List of all the
sampling units from which
sample is drawn
Sampling Scheme: Method of
selecting sampling units from
sampling frame

13. Section 1
Section 2
Section 3
Section 5
Section 4

14. Sample size
Quantitative
n
2σ 2
Z
D2
2
(σ1  σ 2 )xF
2
n
2
D
Qualitative
Z2 π(1  π)
n
D2
2 P (1 - P) F
n
D2