Statistics FINAL TEST 2025/2026 Exam
Questions and Answers | 100% Solved
Simple Random Sampling - 🧠 ANSWER ✔✔is, as the name suggests, the
simplest probability sampling plan. It is equivalent to "selecting names out
of a hat." Each individual as the same chance of being selected.
Cluster Sampling - 🧠 ANSWER ✔✔This sampling technique is used when
our population is naturally divided into groups (which we call clusters). For
example, all the students in a university are divided into majors; all the
nurses in a certain city are divided into hospitals; all registered voters are
divided into precincts (election districts). In cluster sampling, we take a
random sample of clusters, and use all the individuals within the selected
clusters as our sample. For example, in order to get a sample of high-
school seniors from a certain city, you choose 3 high schools at random
, from among all the high schools in that city, and use all the high school
seniors in the three selected high schools as your sample.
Stratified Sampling - 🧠 ANSWER ✔✔Stratified sampling is used when our
population is naturally divided into sub-populations, which we call stratum
(plural: strata). For example, all the students in a certain college are divided
by gender or by year in college; all the registered voters in a certain city are
divided by race. In stratified sampling, we choose a simple random sample
from each stratum, and our sample consists of all these simple random
samples put together. For example, in order to get a random sample of
high-school seniors from a certain city, we choose a random sample of 25
seniors from each of the high schools in that city. Our sample consists of all
these samples put together.
Suppose that the city has 10 hospitals. Choose one of the 10 hospitals at
random and interview all the nurses in that hospital regarding their job
satisfaction. What kind of sampling distribution is this? - 🧠 ANSWER
✔✔Cluster Sampling
Choose a random sample of 50 nurses from each of the 10 hospitals and
interview these 50 * 10 = 500 regarding their job satisfaction. What kind of
sampling distribution is this? - 🧠 ANSWER ✔✔Stratified Sampling
Questions and Answers | 100% Solved
Simple Random Sampling - 🧠 ANSWER ✔✔is, as the name suggests, the
simplest probability sampling plan. It is equivalent to "selecting names out
of a hat." Each individual as the same chance of being selected.
Cluster Sampling - 🧠 ANSWER ✔✔This sampling technique is used when
our population is naturally divided into groups (which we call clusters). For
example, all the students in a university are divided into majors; all the
nurses in a certain city are divided into hospitals; all registered voters are
divided into precincts (election districts). In cluster sampling, we take a
random sample of clusters, and use all the individuals within the selected
clusters as our sample. For example, in order to get a sample of high-
school seniors from a certain city, you choose 3 high schools at random
, from among all the high schools in that city, and use all the high school
seniors in the three selected high schools as your sample.
Stratified Sampling - 🧠 ANSWER ✔✔Stratified sampling is used when our
population is naturally divided into sub-populations, which we call stratum
(plural: strata). For example, all the students in a certain college are divided
by gender or by year in college; all the registered voters in a certain city are
divided by race. In stratified sampling, we choose a simple random sample
from each stratum, and our sample consists of all these simple random
samples put together. For example, in order to get a random sample of
high-school seniors from a certain city, we choose a random sample of 25
seniors from each of the high schools in that city. Our sample consists of all
these samples put together.
Suppose that the city has 10 hospitals. Choose one of the 10 hospitals at
random and interview all the nurses in that hospital regarding their job
satisfaction. What kind of sampling distribution is this? - 🧠 ANSWER
✔✔Cluster Sampling
Choose a random sample of 50 nurses from each of the 10 hospitals and
interview these 50 * 10 = 500 regarding their job satisfaction. What kind of
sampling distribution is this? - 🧠 ANSWER ✔✔Stratified Sampling
