Your applicable T.O.
No, that would be a random sample.
the larger you r sample size the better your estimate. imagine take the height of person to estimate the average high of an adult male. would one person's height be a good estimate, or would taking the average height of 100, or 5000 adult males will produce a better estimate?
When would random sampling not be the best approach to sample selection
A simple random sample.
In geology say, a gross sample would be a representative sample of the whole rock. A lab sample would be a fraction of that, refined such that measurements are able to be made on a single mineral. for example, a piece of basalt would be a convenient field (gross) sample, from which say, mica is extracted after grinding and separation, to enable the 'date' of the basalt to be determined. Similar concepts would apply in other fields, such as biology, botany, water sampling and so on.
You are taking a sample
yes
Hand lotion
No, that would be a random sample.
No, that would be a random sample.
Probably the industry standard that various corporations would use. Would include taking blood sample and an urine sample among other things. Stay clean ... get that job!
Lol. No! When they take the hair sample they will make sure is your hair. They will take it, not you. The person taking the sample would have to be very incompetent to not see that you are wearing a wig.
Enough data to be reprsentative Fair questions and appropriate answer choices or measure of answer An unbiased sample Conclusions that reflect the study accurately and not beyond the limits of the study.
To detect the DNA of a dog, it would require lots of scientific and medical equipment. Taking a blood sample would be a good place to start, but without the correct knowledge of how to use the blood sample, it is likely to be a waste of time and a painful experience for the dog.
You would be best of taking a sample to a pool shop for testing and getting their advice on the remedy.
It would be something like a census, surveying every last person in a given population rather than taking a random sample.
The purpose of design constraints is to limit the cost and size of a project. Without them, designs would simply not be feasible in most instances.