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Which sample size out of a population of 1000 is most likely to lead to a valid conclusion?
Providing of course that a sample is representative of the population from which it is drawn, the bigger it is the more likely it will be to lead to a valid conclusion. Therefore, the best sample size when there are no restrictions, as in this case, would be one of 1000.
What are the disadvantages of non probability sampling?
It is quite likely that the sample is not representative of the population and so while statistical conclusion may be valid for the sample, they may not apply to the population.
Is a biased sample always valid?
a biased sample is valid determin
Is a simple random sample valid?
Yes, a simple random sample is considered valid as it ensures that every member of the population has an equal chance of being selected. This randomness helps eliminate bias and allows for generalizations to be made about the larger population based on the sample. However, the validity of the results also depends on the sample size and the proper execution of the sampling method. Properly conducted, it provides a reliable foundation for statistical inference.
If a population consisted of 1000 people a sample of the population could consist of which number of people?
A sample from a population of 1,000 people can consist of any number from 1 to 1,000 individuals, depending on the sampling method and purpose of the study. Typically, researchers choose a sample size that is manageable and representative, often ranging from a few dozen to several hundred individuals. The key is to ensure the sample accurately reflects the characteristics of the overall population to draw valid conclusions.
Which sample size out of a population of 1000 is most likely to lead to a valid conclusion?
Providing of course that a sample is representative of the population from which it is drawn, the bigger it is the more likely it will be to lead to a valid conclusion. Therefore, the best sample size when there are no restrictions, as in this case, would be one of 1000.
What are the disadvantages of non probability sampling?
It is quite likely that the sample is not representative of the population and so while statistical conclusion may be valid for the sample, they may not apply to the population.
Which conditions may be met for a scientifically valid sample?
at random to represent the population
Why is obtaining a representative sample important?
Many statistical statements for a population which are based on a sample are not valid if the sample is not representative.
What does it mean to say that the sample variance provides an unbiased estimate of the population variance?
It means you can take a measure of the variance of the sample and expect that result to be consistent for the entire population, and the sample is a valid representation for/of the population and does not influence that measure of the population.
Is a biased sample always valid?
a biased sample is valid determin
Is a simple random sample valid?
Yes, a simple random sample is considered valid as it ensures that every member of the population has an equal chance of being selected. This randomness helps eliminate bias and allows for generalizations to be made about the larger population based on the sample. However, the validity of the results also depends on the sample size and the proper execution of the sampling method. Properly conducted, it provides a reliable foundation for statistical inference.
When the sample size is large valid confidence intervals can be established for the population mean irrespective of the shape of the underlying distribution?
Yes, but that begs the question: how large should the sample size be?
The most important step to ensure accuracy in a sample is?
The most important step to ensure accuracy in a sample is random selection. By randomly choosing samples from the population, you minimize bias and increase the likelihood that your sample is representative of the entire population. This helps to draw reliable conclusions and make valid inferences based on the sample data.
A sample of a population should be large enough to?
span the full spectrum of a population's genetic variation.-apexI got you guysssss.feel free to hmu on snap king.youssof ( need knew friends ;--;)
Why would someone want to assume that your sample data represents a population distrubution?
Most people take samples so that they may make estimates of parameters of interest: mean, variance, etc for the whole population. For such an estimate to have any validity the sample data must be assumed to represent a population distribution. Otherwise any conclusions based on the sample are valid only for the sample: hardly worth the effort!
If a population consisted of 1000 people a sample of the population could consist of which number of people?
A sample from a population of 1,000 people can consist of any number from 1 to 1,000 individuals, depending on the sampling method and purpose of the study. Typically, researchers choose a sample size that is manageable and representative, often ranging from a few dozen to several hundred individuals. The key is to ensure the sample accurately reflects the characteristics of the overall population to draw valid conclusions.
