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What is the sample whose characteristics are the same as those of the population it is intended to reflect?
Wiki User
∙ 14y ago
representative
Wiki User
∙ 14y ago
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What is A sample whose characteristics are the same as those of the population it is intended to reflect is called?
A representative sample.
Does the accuracy of a sample in representing the characteristics of the population from which it was drawn always increase with the size of the sample?
yes the size is 4444
How is a sample related to a population?
A sample is a subset of the population.
What is a random sample from a population?
A random sample is a sample (subset of the population) where each member of the population has an equal chance of being sampled. See related links.
If the sample mean is 10 the hypothesized population mean is 9 and the population standard deviation is 4 compute the test value needed for the z test?
n = sample sizen1 = sample 1 sizen2 = sample 2 size= sample meanμ0 = hypothesized population meanμ1 = population 1 meanμ2 = population 2 meanσ = population standard deviationσ2 = population variance
What is A sample whose characteristics are the same as those of the population it is intended to reflect is called?
A representative sample.
Which type of sample is selected to reflect the demographic characteristics of the population of interest?
Convenience sample
What does it mean for a sample to representative of a population?
That the key characteristics of the population are reflected in the sample.
A type of sample that is carefully constructed to reflect the major characteristics of of a particular universe called?
quota sample
If it has similar characteristics as the population the sample is termed?
It is called a representative sample.
What is a representative sample?
A sample that accurately reflects the characteristics of the population as a whole
A sample that does not reflect the population would result from?
Under-Coverage
What is difference between sample and representative sample?
A sample is any subset of the total population. A representative sample is one that is chosen so that its characteristics are similar to that of the population.
Why is it so important to have a representative sample?
If the sample is not representative of the population, then the characteristics of the sample are not the characteristics of the population. Example: If I want to estimate the percentage of the population that are men, and my sample is the school's football team, my estimate would be that 100% of the population is comprised of men. What went wrong with my survey ? Simple. The football team is not a representative sample of the population, at least not as regards gender.
What is post stratification?
Post stratification is a statistical technique used to improve the precision of estimates by adjusting sample weights based on known population characteristics. It involves dividing the sample into subgroups (strata) based on certain characteristics and then adjusting the weights of each subgroup to better reflect the overall population. This helps to reduce bias and improve the accuracy of estimates in survey sampling.
What makes a survey bias?
A survey is biased when the questions are framed in a way that influences respondents to answer in a certain way or when the sample population is not representative of the target population, leading to results that do not accurately reflect the true opinions or characteristics of the group being surveyed.
Why are you using sampling?
Usually we are interested in the characteristics of large populations of items or people. It would often prove costly or impossible to measure these characteristics for the entire population. We therefore measure them for a carefully selected sample of the population and attempt to make scientific inferences about the entire population from the characteristics of the sample.
