You are Here: Home >< Maths

# what are the disadvantages of simple random sampling? watch

2. Depends what your objectives are for the survey and sampling. To analyse particular groups of people you need to achieve a statistically significant sample. So say you wanted to find out what people thought of a particular type of jam, with a random sample you might have to interview thousands of people, which would be very expensive and difficult on a practical basis to find at least 100 people ( i.e a statistically significant number) who could give you an opinion on jam. If you were just trying to find out how many people ate jam, a random would be fine, but if you found less than 100 it would be difficult to infer anything else from their opinions.
3. (Original post by jonjoshelvey21)
You need a sampling frame (a way of identifying each member of the population). So e.g. for a population of people like a country, you need to get access to a list of all the people, which may not be possible. Then would you really want to contact 1000 random people? Would they all respond?

Simple random sampling in this case would be a lot of effort and cost plus it may not work very well.

Also, it wouldn't be useful if you are looking to use strata although the individuals in each strata could be chosen using random sampling.
4. If you were picking 100 people randomly, they may not be representatives the population. Picking randomly might mean that 95 of these people are over 50 years old, and these people may have certain views, that aren’t necessarily representative of the whole population.
5. (Original post by Alice&amp;&amp;dd)
If you were picking 100 people randomly, they may not be representatives the population. Picking randomly might mean that 95 of these people are over 50 years old, and these people may have certain views, that aren’t necessarily representative of the whole population.
That is because 100 people would not be statistically significant - you would probably need at least a sample of 1000 plus to represent the universe
6. (Original post by Hugh's Swan)
That is because 100 people would not be statistically significant - you would probably need at least a sample of 1000 plus to represent the universe
Yes but a stratified sampling technique would be more representative, as you could take 40 random people who are over 50 years old, 40 who are 18-50, and 20 kids. This isn’t random, but is Guaranteed to represent the whole population.

Of course 100 people is never going to be perfect, but a random sampling technique is much riskier, as it is unlikely to roughly representative, whereas other methods could make it more accurate
7. (Original post by jonjoshelvey21)
Requires a sampling frame
May not provide information on smaller sub groups within a population
Less accurate in comparison to a census

TSR Support Team

We have a brilliant team of more than 60 Support Team members looking after discussions on The Student Room, helping to make it a fun, safe and useful place to hang out.

This forum is supported by:
Updated: January 24, 2018
Today on TSR

### Uni league tables

Do they actually matter?

### University open days

• University of Warwick
Sat, 20 Oct '18
• University of Sheffield
Sat, 20 Oct '18
• Edge Hill University
Faculty of Health and Social Care Undergraduate
Sat, 20 Oct '18
Poll
Useful resources

### Maths Forum posting guidelines

Not sure where to post? Read the updated guidelines here

### How to use LaTex

Writing equations the easy way

### Study habits of A* students

Top tips from students who have already aced their exams