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What else can I help you with?
How much error between sample mean and population mean?
The answer depends on the underlying variance (standard deviation) in the population, the size of the sample and the procedure used to select the sample.
What is the chief aim of probability sampling is to be able to select?
The chief aim is to find a representative sample; that is, a sample which reflects the properties of the population, as a whole.
In a survey psychologists select a random sample of research participants in order to ensure?
the participants are representative of the population they are interested in studying
You decide to select ten percent of the inmates in a prison to receive a survey You decide you want your sample to be representative of the population Which sampling process would provide the most r?
a stratified 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.
For a large target population what are the sampling methods use to select the exact population?
There is no sampling method that will select the exact population.
How much error between sample mean and population mean?
The answer depends on the underlying variance (standard deviation) in the population, the size of the sample and the procedure used to select the sample.
What is a population in research?
The popo ulation in the people/items you have collected data from. if you are sampling, the its the population of which you select your sample from
What is a sample of a population that has been selected using a pattern?
A sample of a population that has been selected using a pattern is when a researcher selects every 10th person from a list or sampling frame. For example, if a researcher wants to study the attitudes of employees in a large company, they may select every 10th employee from the company directory. This method ensures a systematic pattern in selecting the sample.
Can a standard deviation of a sample be less than a standard deviation of a population?
Sure it can. But in the survey business, the trick is to select your sample carefully so that they'll be equal, i.e. a sample that is accurately representative of the population.
What is the example of sample design?
An example of sample design is stratified sampling, where a population is divided into distinct subgroups, or strata, based on specific characteristics such as age, income, or education level. Researchers then randomly select samples from each stratum to ensure that the sample accurately reflects the diversity of the entire population. This method helps improve the precision of the results and allows for more detailed analysis of different segments within the population.
How to conduct a survey with a sample size of 3/8?
To conduct a survey with a sample size of 3/8, you would need to select 3 out of every 8 individuals in your population to participate in the survey. This can be done by using a random selection method or by dividing your population into groups of 8 and selecting 3 individuals from each group.
What is the chief aim of probability sampling is to be able to select?
The chief aim is to find a representative sample; that is, a sample which reflects the properties of the population, as a whole.
What is a sample frame in marketing research?
A sample frame is a list of population units/elements commonly referred to as sample members from which to select units/elements to be sampled. Regards Siphokazo Mondliwa
How to conduct a study using the 5/8 method?
To conduct a study using the 5/8 method, researchers divide a sample into five equal groups and randomly select 8 participants from each group. This method helps ensure a representative sample for research purposes.
What is a stratified random sample survey?
A stratified random sample survey is a sampling method that involves dividing a population into distinct subgroups, or strata, based on specific characteristics such as age, gender, or income level. Researchers then randomly select samples from each stratum to ensure that the sample reflects the diversity of the entire population. This approach enhances the representativeness of the survey results and allows for more accurate comparisons between different subgroups. It is particularly useful when certain segments of the population might otherwise be underrepresented in a simple random sample.
How do you select sample size in market research?
to select a random sample you pick them at random
