0
Add your answer:
Earn +20 pts
Which sampling method is based on probability?
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
Are probability and random sampling anonymous?
Probability is a branch of mathematics and so is not linked with any individual and so is anonymous. Random sampling may or may not include information that will allow the contributor to be identified. So it may or may not be anonymous.
What is the difference between simple random sampling and systematic random sampling?
simple random sample is to select the sample in random method but systematic random sample is to select the sample in particular sequence (ie 1st 11th 21st 31st etc.)• Simple random sample requires that each individual is separately selected but systematic random sample does not selected separately.• In simple random sampling, for each k, each sample of size k has equal probability of being selected as a sample but it is not so in systematic random sampling.
What is a major drawback of probability sampling?
There is always an element of random error and so an exact answer is not possible.
What are the advantages and disadvantages of mixed sampling?
avantages and disadvantages of mixed sampling are explained by example given below : if we want to take sample of trees in the forest of India for this we will selected the forests by the simple random sampling and after this we will selected the trees by the systematic sampling we can not used simple random sampling here due to not availability of frame of trees.So this is adavantages of mixed sampling. Now if we want to check the relability of whole procedure then we will not check it .So this is disadavantages of mixed sampling.
Why the random sample is important in design of experiment?
There are circumstances when it is important and others when it is not. If, for example, you wanted a sample of all schools in the country, it would make more sense to go for cluster sampling. A lot of market research work will require quota sampling. So the supremacy of a random sample is a myth.
Which sampling method is based on probability?
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
What is random sampleng?
Random sampling can be defined as the selection of a random sample; each element of the population had an equal chance of been selected. Random sampling is used in psychology, statistics, math, sociology, movement and research.
What is a less accurate technique then random sampling?
So-called accidental sampling. Please see the link.
When dividing a population into subgroups so that a random sample from each subgroup can be collected?
simple random sampling
Are probability and random sampling anonymous?
Probability is a branch of mathematics and so is not linked with any individual and so is anonymous. Random sampling may or may not include information that will allow the contributor to be identified. So it may or may not be anonymous.
What is the difference between simple random sampling and systematic random sampling?
simple random sample is to select the sample in random method but systematic random sample is to select the sample in particular sequence (ie 1st 11th 21st 31st etc.)• Simple random sample requires that each individual is separately selected but systematic random sample does not selected separately.• In simple random sampling, for each k, each sample of size k has equal probability of being selected as a sample but it is not so in systematic random sampling.
What is a major drawback of probability sampling?
There is always an element of random error and so an exact answer is not possible.
What are the advantages and disadvantages of mixed sampling?
avantages and disadvantages of mixed sampling are explained by example given below : if we want to take sample of trees in the forest of India for this we will selected the forests by the simple random sampling and after this we will selected the trees by the systematic sampling we can not used simple random sampling here due to not availability of frame of trees.So this is adavantages of mixed sampling. Now if we want to check the relability of whole procedure then we will not check it .So this is disadavantages of mixed sampling.
Merits of sampling?
There are several merits of using sampling as a methodology of research. Some of them include saving on time and labor, it significantly reduces the cost of the operation and so much more.
Why don't psychologists use random samples often?
Psychologists may not always use random samples due to practical constraints such as time, resources, and accessibility to diverse populations. They may also prioritize other sampling methods like convenience or snowball sampling based on their specific research questions and goals. Additionally, some research designs may not require random samples as long as they adequately represent the population of interest.
What is random sampling?
Usually applied to accounting, so I will answer based on accounting. If a company has 3000 accounts numbered from 1 to 3000. Lets say you are to look at 100 files. 3000/100 = 30, random sampling is not choosing every 30th account. That does not give an equal chance of selecting each file. File 101 would never be selected. This is a biased sampling. You must use some kind of random number generator to select the 100 files to look at so that every file has an equal probability of being reviewed.
