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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.
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Is a stratified random sample preferable to a simple random sample when there are known subgroups within the population that the researcher thinks may inpact the results?
Yes, a stratified random sample is preferable when there are known subgroups within the population that may impact the results. This method ensures that each subgroup is adequately represented in the sample, allowing for more precise estimates and insights. By controlling for these subgroups, researchers can minimize potential biases and improve the validity of their findings.
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 What procedure would provide the most represent?
Select the sample so that it will have the same percentages of people that are men and women as are in the system, and also match the percentage based on educational background and ethnicity
The radio station KDOG serves 6 towns of equal size. The station is a conducting a telephone survey. The list of people to survey is made by selecting 100 people at random from each town. This is an e?
stratified random sampling
What is the difference between stratified an random sampling?
In (Simple) random sampling, all of the units in the sample have the same chance of being included in the sample. Units are selected randomly from a population by some random method that gives equal probability to each element. In stratified random sampling, the entire population is divided into heterogeneous sub-popuation known as strata (sub-population with unequal variances) and a random sample is chosen from each of these stratum. The reason when to use which depends on the situation and need of the experimenter.
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.
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 stratified and random sampling?
In a stratified sample, the sampling proportion is the same for each stratum. In a random sample it should be but, due to randomness, need not be.
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 representative sample?
a stratified random sample
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
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 are the example of stratified random sampling?
stratified random sampling is a sample(strata) that a same and hemogenieous in group and that a different and heterogenious in group
Is the best description of a stratified random sample?
Stratified random sampling is a form of probability sampling that provides a methodology for dividing a population into smaller subgroups as a means of ensuring greater accuracy of your high-level survey results. The smaller subgroups are called strata. Stratified random sampling is also called proportional or quota random sampling.
What is anopther name for systematic sample?
Stratified random sampling.
What is a stratified random sample?
Stratified random sampling is a sampling scheme which is used when the population comprises a number of strata, or subsets, which are similar within the strata but differ from one stratum to another. One example is school children stratified according to classes, or salaries stratified by departments.A simple random sample may not have enough representatives from each stratum and the solution is to use stratified random sampling. Under this scheme, the overall sampling proportion (sample size/population size) is determined and a sample is drawn from each stratum which represents the same proportion.
The best description of a stratified random sample?
Equal representation for all groups.
How do sampling methods effect the rigor of a study?
A sample needs to be random and if not a simple random sample of the whole population then a stratified random sample (there are different ways to stratify). Otherwise the study is a waste of time.
How is data collected in statistics?
data can be collected many different ways, but a survey can be cunducted in a few different ways some of them are: simple random, stratified, block samples stratified simple random
