Each of the 29 nba teams has 12 players. a sample of 58 players is to be chosen as follows. each team will be asked
to place 12 cards with its players’ names into a hat and randomly draw out two names. the two names from each
team will be combined to make up the sample. which of the following sampling techniques is being used in this
situation?
(a) simple random sample – no, a srs refers only to when the entire sampling frame (part of population you are
sampling from) is numbered off or has their names put in a hat and you randomly choose from all the possible
people. it’s a very large and costly process usually. the technical "definition" of a srs is that every possible
sample of size n has the same probability of being chosen. in this case, it would not be possible for, say, all of
the dallas mavericks to be chosen.
(b) stratified sample – yes! all the nba players have been divided in strata by teams. from each team they will
randomly choose 2.
(c) cluster sample – no. this refers to when the population is divided into heterogenous groups (clusters) and a
certain number of whole clusters are chosen randomly. then everyone in the cluster is included in the
sample. this is different from stratified because in each strata a certain number is picked out randomly.
(d) multi-stage sample – no. this refers to when more than one sampling procedure is used. for example, we could
divide up ghs by grade level, then randomly pick a grade. then, randomly pick a subject area, let’s say english.
then from all the english classes we could randomly pick 1 (or however many). then we could randomly pick a
certain number of people from each class (stratifying) or the entire class (clustering).
(e) systematic sample – no. this refers to when the sampling frame is numbered off or listed in some kind of order,
then a random starting place is chosen, and finally every nth person is selected for the sample.