Sampling Technique

Question 1

determined by multiplying the length and width of the topo map

Answer 1

area of the site

Question 2

formula to determine total area

Answer 2

TA = L x W

Question 3

Slovin’s formula for sample size

Answer 3

n = TA / 1+Tae^2

Question 4

sampling selection method that will be used

Answer 4

quadrat sampling

Question 5

any circular, rectangular, or square plot used to count samples

Answer 5

quadrat

Question 6

may vary depending on the type of vegetation

Answer 6

size of quadrat

Question 6

The more diverse the site the smaller/bigger the quadrat size

Answer 6

bigger

Question 6

formula for the number of quadrats

Answer 6

NQ = Sample Size / Quadrat Size

Question 7

process of getting a small portion from the whole

Answer 7

sampling

Question 8

can be organisms, activities, observations, or measurements like weights, heights, etc. that represent the population

Answer 8

sample

Question 9

Sampling methods include the following

Answer 9

probability sampling
non-probability sampling

Question 10

every member of the population has a chance of being selection

Answer 10

probability sampling

Question 11

individuals are selected based on non
-random criteria, and not every individual has a chance of being included

Answer 11

non-probability sampling

Question 12

selection is based on the principle of randomization by chance

Answer 12

probability sampling

Question 13

More complex, more time consuming, and more costly than non-probability sampling

Answer 13

probability sampling

Question 14

type of probability sampling (4)

Answer 14

simple random sampling
cluster sampling
systematic sampling
stratified random sampling

Question 15

every member of the population has an equal chance of being selected

Answer 15

simple random sampling

Question 16

divides the population into subgroups, but each subgroup should have similar characteristics to the whole sample

Answer 16

cluster sampling

Question 17

Instead of sampling individuals from each subgroup, you randomly select entire subgroups

Answer 17

cluster sampling

Question 18

every member is listed with a number, but instead of randomly generating numbers, individuals are chosen at random intervals

Answer 18

systematic sampling

Question 19

appropriate when the population has mixed characteristics, and you want to ensure that every characteristic is proportionally represented in
the sample

Answer 19

stratified random sampling

Question 20

Divide the population into subgroups (called strata) based on the relevant characteristics (e.g. gender, age range, income bracket, job role)

Answer 20

stratified random sampling

Question 21

in order to draw conclusions about the population from the sample, it must assume the sample is representative of the population

Answer 21

non-probability sampling

Question 22

a convenience sample simply includes the individuals who happen to be most accessible to researcher

Answer 22

convenience sampling

Question 23

this involves the researcher using their judgment to select a sample that is most useful to the purposes of the researcher

Answer 23

judgmental or purposive sampling

Question 24

method in which researchers choose individuals according to specific traits or qualities they decide and create quotas so that the research samples can be useful in collecting data

Answer 24

quota sampling

Question 25

research participants recruit other participants for a test or study

Answer 25

snowball sampling

Question 26

1 ha is equasls to what mm^2

Answer 26

10,000

Question 27

study how to compute the formula

Answer 27

+1