sampling

Question 1

random sampling

Answer 1

everyone has equal chance being selected, eg picking name out of hat

Question 2

s&l

Answer 2

s - unbiased - everyone has equal chance
L- need to contact all those selected which can take time
or not everyone can do experiment

if picked old person, and experiment is lifting weight

Question 3

opportunity sample

Answer 3

select who are easily available/convenient at time of study , eg people walking by you in street

Question 4

s and l

Answer 4

s - easiest method as you find first suitable participant doesn’t take time

l - bias as sample drawn from small part of population, won’t represent everyone

Question 5

volunteer sample

Answer 5

where participant optionally choose to take part in experiment eg saw in newspaper or internet.

Question 6

l&s

Answer 6

s- quick and easy, gives access to variety of population, less bias and more representative

Question 7

systematic

Answer 7

chosen from list of target population (list of poeple) and EVERY Nth PERSON eg every 5th person picked.

Question 8

l&s

Answer 8

s - unbias as participants selected using objective system. canf choose participant

l- VERY TIME CONSUMING finding full list of people

Question 9

stratified

Answer 9

produced by identifying subgroups according to frequency in population.
then selected randomly from subgroup

eg, STRATA within population identified eg boys and girls or age groups 10-12

then after target population found, will do random sampling

Question 10

l&s

Answer 10

s - more representative then other methods as it’s proportional/randomly selected representation of subgroup

l- time consuming to identify subgroup then randomly select and contact them