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Can Any large random sample from a group of people will be representative of the entire group?

Any large random sample from a group of people will be representative of the entire group.TrueFalse


Difference between random sample and convenience sample?

random sample is a big sample and convenience sample is small sample


Science what is a sample taken without bias?

The answer is Random Sample


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 the difference between random and stratified sample in the survey method?

The main difference is that the way of selecting a sample Random sample purely on randomly selected sample,in random sample every objective has a an equal chance to get into sample but it may follow heterogeneous,to over come this problem we can use stratified Random Sample Here the difference is that random sample may follow heterogeneity and Stratified follows homogeneity


What is the difference between a biased and unbiased sample?

Biased- (Not random) Unbiased-(Random) Example: (ubbiased) Woman takes random people to take a survey.


What is random distribution in biology?

A random distribution is a random sample set displayed in the form of a bell curve. See random sample set.


What is a random sample or one way to reduce when choosing people for an experiment?

bias


What is the standard error of the proportion of females if a random sample of 150 people was taken from a very large population and ninety of the people in the sample were females?

0.0016


Is the number of people with blood type a in a random sample of 34 people?

To determine the number of people with blood type A in a random sample of 34, you would first need to know the prevalence of blood type A in the population. In general, approximately 26% of the population has blood type A. Therefore, in a random sample of 34 people, you could expect about 8 to 9 individuals to have blood type A, though the actual number may vary due to random sampling.


What is non-random selection?

A non-random selection is one in which all of the people do not have equal chance of being included in the sample.


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.