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How many different simple random sample of size 7 can be obtained from a population which is a size 100?
There are 16,007,560,800 or just over 16 billion samples.
How many simple random samples of size 5 can be obtained from a population whose size is 38?
You wouldn't want to use the same item twice, so just divide 38/5 = 7+ ... you can get 7 samples of size 5.
Which sampling is obtained by dividing the population into groups and selecting all individuals from within a random sample of the groups?
It is called one-stage cluster sampling. If random samples are taken within the selected clusters then it is two-stage cluster sampling.
How many simple random samples of size 5 can be selected from a population of size 35?
There are 324,632 possible samples.
What is stratified random sampling in statistics?
Stratified Random Sampling: obtained by separating the population into mutually exclusive (only belong to one set) sets, or stratas, and then drawing simple random samples (a sample selected in a way that every possible sample with the same number of observation is equally likely to be chosen) from each stratum.
How many different simple random sample of size 7 can be obtained from a population which is a size 100?
There are 16,007,560,800 or just over 16 billion samples.
Different types of random and non random sampling?
stratified sampling, in which the population is divided into classes, and random samples are taken from each class;cluster sampling, in which a unit of the sample is a group such as a household; andsystematic sampling, which refers to samples chosen by any system other than random selection.
Why are random samples more representative of the population than other kinds of samples?
A 'random' sample - covers all age groups, genders, and other criteria. A 'targeted' sample might only cover a small part of the population.
How many simple random samples of size 5 can be obtained from a population whose size is 38?
You wouldn't want to use the same item twice, so just divide 38/5 = 7+ ... you can get 7 samples of size 5.
Will all random samples from a given population have the same mean?
Data from random samples will not always include the same values. Values are chosen randomly and they may or may not be the same. So means will vary among random samples.
Which sampling is obtained by dividing the population into groups and selecting all individuals from within a random sample of the groups?
It is called one-stage cluster sampling. If random samples are taken within the selected clusters then it is two-stage cluster sampling.
How many simple random samples of size 5 can be selected from a population of size 35?
There are 324,632 possible samples.
What is the difference between convenience judgment and random sampling?
Non-probability or Judgement Samples has to do with a basic researcher assumptions about the nature of the population, the researcher assumes that any sample would be representative to the population,the results of this type of samples can not be generalized to the population(cause it may not be representative as the research assumed) and the results may be biased. Probability or Random samples is a sample that to be drawn from the population such that each element in the population has a chance to be in the selected sample the results of the random samples can be used in Statistical inference purposes
How can data be collected if independent samples are to be obtained?
Data can be collected for independent samples by randomly selecting individual units or cases from the population of interest. This can be done using random sampling techniques such as simple random sampling, stratified sampling, or cluster sampling. By ensuring that each sample is selected independently of the others, we can maintain the assumption of independence among the samples in the data analysis.
Samples are chosen in such a way that each member of the population has a known,though not necessarily equal, chance of being included in the sample?
Random samples
What is stratified random sampling in statistics?
Stratified Random Sampling: obtained by separating the population into mutually exclusive (only belong to one set) sets, or stratas, and then drawing simple random samples (a sample selected in a way that every possible sample with the same number of observation is equally likely to be chosen) from each stratum.
How many different simple random samples of 7 are possible from a pool of 25?
There are 25C7 different samples of seven from a pool of 25.25C7 = 25!/(7!(25-7)!) = 480 700 different samples of 7
