Data collection - Sampling

Question 1

What is random sampling

Answer 1

Every sample should have an equal chance of being selected

Question 2

How does random sampling work, how to do?

Answer 2

1. Have a sampling frame
2. Assign a number to each sampling unit or a letter
3. Use a random number generator to pick … number/letter…
4. Ignore duplicates until we get amount needed.

Question 3

What is a population

Answer 3

All items that are of interest

Question 4

What is a sample

Answer 4

A subset of the population intended to represent population

Question 5

Whats a sampling unit

Answer 5

Each individual thing in population that can be sampled

Question 6

define sampling frame

Answer 6

list of al sampling units.

Question 7

how to calculate systematic sampling

Answer 7

population size / sample size

Question 8

how to calculate stratified sampling

Answer 8

sample size / pupulation

Question 9

what is quota sampling

Answer 9

when you take a propotionate sample of groups, but it is non random,

Question 10

state 2 reasons why stratified sampling might be a more suitable sampling method than simple random sampling

Answer 10

stratified gurantees represenation of all groups, random does not

Question 11

state 2 reasons why stratified sampling might be more suitable method than quota sampling

Answer 11

startified not bias as members chosen randomly

you can estimate sampling errors for stratified.

Question 12

explain what you understand by a random sample from a finite population

Answer 12

every possible sample has an equal chance of being selected

Question 13

define census

Answer 13

every member of population is being investigated