00:01
This problem is about sampling techniques, and there are five commonly used techniques.
00:13
We have the simple random sample, and that is where each subject is equally likely to be selected.
00:39
There is stratified sampling, and that is when the group is divided evenly, or i shouldn't say divided evenly, divided into groups of some common characteristic, and then subjects are selected randomly from each group.
01:49
So envision, here's our subjects, so we end up grouping them, and then some are taken from each group.
02:14
The next one is cluster sampling, and cluster sampling, once again, they're divided into groups, and then subjects are chosen by selecting entire groups.
03:10
So let's say that this was our section selections, so our subjects are broken into groups, and then we select entire groups.
03:34
The next one is systematic sampling, and that's where the subjects are selected at even intervals.
04:11
So for example, here would be our subjects, and maybe we select every third one.
04:26
And the last sampling technique is your convenience sampling, and convenience sampling is subjects are selected by convenience.
04:50
So it could be the first 12 people, maybe it's closest in proximity, etc.
05:17
So in part a, we have a botanist at a nursery, wants to inspect the health of the plants at the nursery.
05:25
Which of the following best describes a random sample of plants? so in a, we're looking for random sample.
05:34
So that's this one here, each one is equally likely to be selected.
05:46
So we've got three choices, all of the plants are in one particular room, so the botanist selects the 78 from that room.
05:55
Well, that would be convenience, they're all right there, easy to get.
06:02
The botanist forms groups of 13 based on heights, then he randomly chooses six groups and selects all the plants in the group.
06:11
So that was like this one here, he grouped and then took entire groups, so that was cluster sampling.
06:22
And then the botanist assigns each plant a different number using a random number table.
06:27
He draws 78 of those numbers at random, then he selects the plants assigned.
06:32
And that is going to be your simple random sample.
06:36
Each one is equally likely to be chosen, so you're going to choose the third one...